Top Machine Learning Engineer Jobs Openings in 2025

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenerative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. Responsibilities: Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics, while also developing references and examples of tasks.Experts Acquisition: Assess the qualification tests of experts, ensuring their competency.Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines.Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD degree in Mechanical Engineering.You have at least 5 years of professional experience. Your level of English is advanced (C1) or higher.Working experience with Python.Experience in Generative AI/Prompt Engineering/Reviewing. Experience in teaching/educating/lecturing/training in your domain area. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $35/hour depending on your skills, experience, and project needs. Collaborate in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenerative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. Responsibilities: Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics, while also developing references and examples of tasks.Experts Acquisition: Assess the qualification tests of experts, ensuring their competency.Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines.Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD degree in Mechanical Engineering.You have at least 5 years of professional experience. Your level of English is advanced (C1) or higher.Working experience with Python.Experience in Generative AI/Prompt Engineering/Reviewing. Experience in teaching/educating/lecturing/training in your domain area. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $38/hour depending on your skills, experience, and project needs. Collaborate in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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About Us:We are establishing the first distributed Al infrastructure dedicated to personalized Al. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model. What’s the Job?We are seeking a Senior Machine Learning Engineer with expertise in Large Language Models (LLMs) and Natural Language Processing (NLP) to join our innovative team. This role will focus on developing and deploying state-of-the-art NLP models that power webAI’s platform. If you have experience in working with transformer models, language generation, and advanced text analytics, this is the perfect opportunity to apply your skills on groundbreaking AI technology.You’ll collaborate closely with our research and engineering teams to design, build, and optimize models that work with both structured and unstructured language data. The ideal candidate will bring experience deploying production-level NLP models, as well as expertise in MLOps practices and scalable cloud infrastructure. Key Responsibilities:Design, build, and fine-tune LLMs and NLP models (e.g., GPT, BERT) for tasks like language understanding and generation.Extend webAI’s existing LLM frameworks and libraries, incorporating the latest research in language models.Preprocess and prepare text datasets for training, including tokenization and feature extraction.Implement MLOps best practices for deploying scalable, production-level models on cloud platforms.Collaborate with cross-functional teams to integrate LLM models into the webAI platform.Stay updated on LLM advancements and apply the latest research to improve model performance.Required Skills & Experience:5+ years of experience in machine learning, with a focus on NLP and LLMs.Bachelor’s (Master’s preferred) in Computer Science, Machine Learning, or related field.Expertise in transformer architectures (e.g., GPT, BERT), text preprocessing, and feature engineering.Proficiency in Python and NLP libraries (Hugging Face, TensorFlow, PyTorch).Experience with MLOps tools (MLFlow, Kubeflow, etc.).Strong communication skills and passion for learning. We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. Humility - Maintaining a respectful ad learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFlexible work weekFree parking, for in-office employeesUnlimited PTOParental, Bereavement LeaveSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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 About Us: webAI is a software company that is building a decentralized AI development platform. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI. webAI offers opportunities to join a dynamic and fast-growing team that fosters a fun and growth-oriented office culture.  About the Role: We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track record of developing and deploying advanced AI models.  Responsibilities: Lead the development and optimization of Large Language Models and Mixture of Experts models. Collaborate with cross-functional teams to integrate ML models into our platform.Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs. Stay abreast of the latest advancements in AI and ML, and apply this knowledge to improve our models and methodologies. Mentor junior engineers and contribute to the team’s knowledge sharing and best practices.  Qualifications: Advanced degree (Ph.D. preferred) in Computer Science, or a related field. Proven track record of innovations through publications or industry experience.Minimum of 5 years of experience in machine learning, with specific expertise in Large Language Models and Mixture of Experts. Strong programming skills in Python and machine learning frameworks like TensorFlow and/or PyTorch. Demonstrated ability to lead complex projects and work collaboratively in a team environment.Excellent problem-solving skills and a passion for innovation.  Preferred Skills: Experience with cloud computing services (AWS, Azure, GCP). Knowledge of Big Data technologies (Hadoop, Spark).Familiarity with containerization and orchestration technologies (Docker, Kubernetes).Publications or presentations in recognized Machine Learning journals or conferences.  We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: Truth - Emphasizing transparency and honesty in every interaction and decision. Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits: Competitive salary and performance-based incentives. Comprehensive health, dental, and vision benefits package. $200/mos Health and Wellness Stipend $400/year Continuing Education Credit Flexible work week Free parking, for in-office employees Unlimited Approved PTO Parental, Bereavement Leave Supplemental Life Insurance  webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. Responsibilities Technical Leadership & Vision Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Core Agent Capabilities Development: Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Team Leadership & Mentorship Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team. Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large-scale distributed systems and real-time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross-team technical initiatives that have delivered significant business impact. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models.About the RoleWe are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by millions leveraging cloud technologies. You will work on integrating Hugging Face's open-source libraries like Transformers and Diffusers, with major cloud platforms or managed SaaS solutions.You may want to take a look at these announcements to get a better sense of what this role might mean in practice 🤗: Hugging Face and AWS partner to make AI more accessible Hugging Face and IBM partner on watsonx.ai, the next-generation enterprise studio for AI builders Introducing SafeCoder Hugging Face Collaborates with Microsoft to launch Hugging Face Model Catalog on Azure ResponsibilitiesWe are looking for talented people with deep experience and passion for both Machine Learning (at the framework level) and Cloud Services: Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider. Ensuring the above models meet the expected performance Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users. Write technical documentation, examples and notebooks to demonstrate new features Sharing & Advocating your work and the results with the community. About YouYou'll enjoy working on this team if you have experience with and interest in deploying machine learning systems to production and build great developer experiences. The ideal candidate will have skills including: Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents. Experience in building MLOps pipelines for containerizing models and solutions with Docker Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful Ability to write clear documentation, examples and definition and work across the full product development lifecycle Bonus: Experience with Svelte & TailwindCSS More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the team Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.About the role Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. What you'll be doing:Building and deploying production-grade ML software, tools, and infrastructure.Creating reusable, scalable solutions that accelerate the delivery of ML systems.Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.Leading technical scoping and architectural decisions to ensure project feasibility and impact.Defining and implementing Faculty’s standards for deploying machine learning at scale.Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.Who we're looking for:You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.You possess strong Python skills and solid experience in software engineering best practices.You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security.You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou are comfortable with core ML concepts, including probability, statistics, and common learning techniques.You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders.You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutionsThe Interview ProcessTalent Team Screen (30 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes)What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ127R84 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. The preferred locations (in priority order) are London (UK), Munich (Germany), Paris (France), and Amsterdam (NL). The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap  What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations  Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets We require fluency in English and welcome candidates who also speak French or German About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ127R84 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. The preferred locations (in priority order) are London (UK), Munich (Germany), Paris (France), and Amsterdam (NL). The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap  What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations  Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets We require fluency in English and welcome candidates who also speak French or German About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ127R84 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. The preferred locations (in priority order) are London (UK), Munich (Germany), Paris (France), and Amsterdam (NL). The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap  What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations  Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets We require fluency in English and welcome candidates who also speak French or German About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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At Black Forest Labs, we’re on a mission to advance the state of the art in generative deep learning for media, building powerful, creative, and open models that push what’s possible. Born from foundational research, we continuously create advanced infrastructure to transform ideas into images and videos. Our team pioneered Latent Diffusion, Stable Diffusion, and FLUX.1 – milestones in the evolution of generative AI. Today, these foundations power millions of creations worldwide, from individual artists to enterprise applications. We are looking for an Applied Researcher to develop precise control mechanisms for our image and video generation models, enabling users to direct outputs through practical controls like color palettes, transparency channels, and other production-ready features Role and Responsibilities Training large-scale Diffusion (transformer) models with advanced control mechanisms (hex color control, transparency generation, custom aspect ratios, etc.) Developing conditioning mechanisms for practical production requirements in image and video generation Rigorously ablating design choices for applied controls and communicating results & decisions with the broader team Reasoning about the speed and quality trade-offs of control architectures for real-world applications What we look for: Experience training large scale Diffusion models for image and video data Finetuning Diffusion models for image and video applications, such as, image and video upscalers, in and out painting models, etc. Deep understanding of how to effectively evaluating image and video generative models Strong proficiency in PyTorch, transformer models and other NN architectures. Deep understanding of training techniques such as FSDP, low precision training, and model parallelism Nice to have: Experience with writing forward and backward Triton kernels and ensuring their correctness while considering floating point errors Profiling, debugging, and optimizing single and multi-GPU operations using tools such as Nsight or stack trace viewers

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined. Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery. What you'll bring to the role 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization. Solid programming skills (Python, JavaScript, or similar). Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos. Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Bachelor’s degree in Computer Science, Engineering, or a related technical field Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management. Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

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The AI orchestration of your wildest imagination.n8n is the open AI workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 145k+ GitHub stars, making us one of the world’s Top 40 most popular projectsBeen ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuationAnd are grateful for our 94 eNPS score (most companies would call 70 excellent) That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.🎯 Your main goal will be to enable internal teams to design, build, and scale AI-powered automations with n8n that reduce manual work, surface the right data at the right time, and unlock new LLM-driven capabilities.To do so, here are your responsibilities:Requirements discovery and prioritizationPartner with Support, Sales, Marketing, Finance, and People to uncover high-impact automation opportunities.Translate business goals into clear technical specs with success metrics.Prioritize pragmatically by impact and effort to ship value fast.Build and ship AI + automation workflowsDesign, implement, and maintain n8n workflows combining APIs, data stores, and LLM capabilities.Use functions, expressions, and custom JavaScript where needed to keep logic clean and testable.Instrument workflows for observability, error handling, retries, auditability, and versioning.AI enablement and safetyApply RAG, structured output parsing, and tool-use patterns where appropriate to increase reliability.Enforce data governance and privacy guardrails when handling sensitive information.Rollout and lifecycle ownershipDocument clearly, provide handover and training, and iterate based on feedback and telemetry.Maintain a backlog of improvements and deprecations to keep workflows healthy and cost-efficient.Internal n8n advocacyShare patterns, templates, and best practices for “how n8n uses n8n” across teams.Capture product gaps and collaborate with Product and Engineering to shape the roadmap.REQUIREMENTSMust-haves🧩 Hands-on n8n expertise: You’ve shipped production n8n workflows using APIs, webhooks, auth, conditional logic, merges, and resilient error handling.🧑‍💻 JavaScript & expressions: You’re comfortable writing JavaScript in Function nodes and using expressions safely across branches.🤖 AI foundations: You’ve used modern LLMs for automation with prompt design, few-shot examples, structured outputs, and basic evaluation.📚 RAG literacy: You understand retrieval-augmented generation concepts and data source hygiene.🔌 Systems & data integration: You know REST APIs, webhooks, pagination, rate limits, and auth flows (OAuth2, API keys).🏢 Business systems: You’ve integrated tools like Salesforce, Paddle, Shopify, Customer.io, HiBob, Google Workspace, BigQuery, or Metabase (or similar).🧠 Product mindset & comms: You scope MVPs, ship iteratively, write clear docs, and communicate with technical and non-technical stakeholders.⏱️ Experience: You have 3+ years in automation, internal tools, BizOps/RevOps, solutions engineering, or similar builder roles.Nice-to-haves🧾 Domain automations: You’ve built HR, Support, or RevOps automations and care about data hygiene.💬 AI assistants: You’ve created chat or Q&A assistants grounded in internal knowledge bases.📈 SQL basics: You can write simple SQL for validation and reporting.🌐 Community: You engage with the n8n or adjacent automation ecosystems.Why join us?At n8n, your work won’t disappear into a slide deck. You’ll build the internal AI + automation backbone that powers how we operate and scale, with direct visibility across Support, Sales, Marketing, Finance, and People. You’ll join one of Europe’s fastest-growing startups, where fair-code principles, a passionate builder community, and a remote-first culture create room for autonomy, experimentation, and real impact.Sound like a challenge you’re excited to take on?Apply now — and help us build the future of automation.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role  As a Lead Machine Learning Engineer – Recommender Systems, you’ll play a central role in improving HP’s Retrieval-Augmented Generation (RAG) pipelines for private and local data. You’ll build intelligent, context-aware retrieval systems that enhance user interactions with documents, meetings, and applications—all on-device. This role blends deep ML experience with product-focused engineering.  What You Might Do  Drive the design, implementation, and scaling of recommendation and retrieval algorithms for our AI Companion app Set the technical vision for vector search and similarity matching models to identify relevant documents across structured and unstructured data Analyze user interactions and system performance to guide algorithmic improvements Partner with cross-functional leaders in ML, infrastructure, and product teams to deploy fast and efficient RAG workflows Build and maintain retrieval indexes optimized for latency and memory  Mentor and guide engineers across the team, fostering best practices in experimentation, model evaluation, and production deployment. Essential Qualifications  8+ years of software development experience with exposure to ML engineering Deep expertise in recommender systems, embeddings, and ranking models Proven experience building or scaling document search or retrieval systems Strong understanding of vector databases (e.g., FAISS, Pinecone, Qdrant) Proficient in Python and one systems language (e.g., C++, Java)  Preferred Skills  Background in LLM integration or fine-tuning for RAG workflows Industry experience at companies like Google (Search, YouTube), Meta (Feed, Ads), or Twitter (Timeline, Trends) Experience with ML pipeline tools (Airflow, Ray, TorchServe) Previous experience improving search relevance, click-through rate, or long-term engagement  Salary Range:  $175,000 - $275,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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About BrighthireBrightHire is a category-creating, Series B software company with a mission to give everyone the hiring experience they deserve.We deliver on this mission by transforming the way many of the world’s leading companies build exceptional teams. We created the Interview Intelligence category, and our clients include some of the world’s most innovative companies—from Canva and Zapier to Rippling—as well as members of the Fortune 100.About The RoleYou will partner closely with our Engineers, Product, and Design to productionize early-stage AI features into high quality, performant AI features that delight users at scale. Your focus will be on quality and safety testing: devising rigorous evaluation frameworks, refining prompts and pipelines, and optimizing model choices for cost, latency, accuracy, tone, and safety. You will help build the shared AI platform that powers products such as:AI Interviewer conversation loops that adapt in real timeAI Fraud Signals that flag suspicious behavior with minimal false positivesAI Candidate skills matrices and assistants that surface instant insightsWhat You'll DoDesign and own comprehensive evaluations that measure accuracy, completeness, style, hallucination rate, bias, and safety across every release.Tune and iterate on RAG pipelines, prompt chains, conversation loops, provider selections, and fine-tunes until quality bars are met or exceeded.Build reusable data and evaluation pipelines, a shared semantic layer, and monitoring dashboards that make it easy for product teams to ship reliable AI quickly.Optimize for cost and latency, continuously benchmarking models and negotiating trade-offs between performance and spend.Implement robust data governance and lineage practices that satisfy enterprise compliance requirements and support our AI bias audit process.Document best practices and share knowledge to raise the bar for AI development across BrightHire.What You'll Bring5+ years in Data Science or ML engineering with a strong focus on ML or NLP systems.1+ year focused on Gen-AI or LLM systems.Strong Python and SQL skills.Experience creating automated evaluation suites for LLM outputs (accuracy, safety, bias, tone, style) and using results to guide iterative improvements.Knowledge of prompt engineering, RAG techniques, vector search, embeddings, fine-tuning, and model selection across multiple providers.Ability to communicate complex AI trade-offs clearly to engineers, designers, and executives alikeBias toward action, curiosity, and a passion for building high-quality user experiencesAbout Our TeamHigh-impact projects in small, autonomous squads where you can lead platform initiatives or dive deep as a specialistThoughtful developer experience with fast CI, 1-click deploys, strong observability, and clean codebasesSustainable remote culture: regular working hours, no-meeting Wednesdays, and flexible time offCollaborative, kind teammates who value learning and growthMore About UsRemote flexibility: Our team is fully remote, spanning across North and South American time zones. We crossover our hours for a core chunk of the day but provide everyone flexibility in how and when they get work done.Impactful work: Play a critical role in delivering on our mission to give everyone the hiring experience they deserve.Learning opportunities: Engage with a wide range of technologies and challenges, offering continuous learning and professional growth.Collaborative environment: We’re always working together to brainstorm ideas about product, strategy, etc.Use your own product: We use our product daily in our own hiring, which is rewarding and gives us product empathy!Customer Connection: We try to make sure everyone stays connected to users and clients, joining sales and client meetings, talking to end users, etc.Autonomy: Everyone is self-motivated, autonomous, and seeks ways we can continuously improve as a companyFun: We’re generous, self-deprecating, look for reasons to laugh, and enjoy sharing our ideas for band names, posting photos from our walks, and reminiscing about previous travels.BenefitsThis is a full-time contractor role for long-term employment15 days PTO12 national holidaysHealthcare stipendWork-from-home, learning, and vacation stipendsCompany provided computerThe Selection ProcessSilver.dev Recruiter Screen Hiring Manager InterviewDeep Dive Work Experience ScreenSystem Design ScreenExecutive Interview w/CTO

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the team Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good.From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these customers from time to time.About the role As a Senior Manager within our AI Safety team, you’ll lead delivery across our AI Safety portfolio, focusing on frontier model evaluations and crucial crossover work with our customers in the Government & Public Services space. This is a strategic role working alongside peers to shape the commercial delivery of our AI Safety projects in the UK You’ll serve as the primary link between clients and our dedicated data scientists to translate cutting edge AI safety research into actionable changes as well as model red teaming and safeguard testing with labs like OpenAI and Anthropic into strategic, impactful solutions.What you'll be doing: Overseeing, and providing thought leadership on, the delivery of novel and complex AI safety evaluations and red teaming projects for clients.Forming strong, trusting relationships with customers, internal safety data scientists, and technical partners, including frontier labs.Developing and executing compelling proposals to grow our AI safety and governance work across a wide range of sectors.Advising clients on AI safety strategy and technical implementation, acting as a trusted partner and consultant.Mentoring and developing team members, aligning their responsibilities with the fast-growing and important AI safety domain.Supporting wider delivery work as a Senior Manager when needed business to ensure maximum strategic flexibility and commercial impact.Who we're looking for:You bring proven experience or a passion for Applied AI safety, possibly from labs, academia, or evaluation/red teaming roles.You understand the commercial consulting delivery model, allowing you to focus immediately on account growth and project oversight.You can effectively bridge the gap between highly technical AI safety research and strategic business challenges, communicating complex ideas clearly.You are excited by the opportunity to join a globally leading team in the fast-growing and vital AI safety ecosystem.You possess the flexibility to support broader senior manager work and embrace an entrepreneurial approach to a highly visible portfolio.You thrive in ambiguous settings and demonstrate a structured approach to problem-solving and delivering high-quality, high-stakes projects.The Interview ProcessTalent Team Screen (30 minutes) Introduction to the team (60 minutes) Case Study Interview (60 minutes) Culture and Leadership Interview (60 minutes) What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About HappyRobotHappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy.Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks. You can learn more about our vision in our Manifesto. HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot.About the RoleYou’ll be building AI models that make human-like conversations possible. You’ll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products. You’ll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, you’ll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation.About the RoleDesign, build, and maintain scalable ML systems — from data ingestion and preprocessing to training, testing, and deployment.Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility.Implement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production.Collaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability.Ensure data quality, observability, and performance across all AI systems.Stay current with the latest in AI infrastructure, tooling, and research — helping us stay ahead of the curve.Must HaveStrong experience in machine learning, deep learning, and NLP.Solid background in MLOps and data pipelines — e.g., model deployment, monitoring, and scaling in production environments.Proficiency in Python and familiarity with Go.Experience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases).Ability to design ML systems for robustness, scalability, and automation.Strong coding, debugging, and data engineering skills.Passion for AI infrastructure and its real-world impact.Founder mindset: ownership, independence, and willingness to go deep.Nice to HaveExperience in speech recognition, TTS, or audio processing.Familiarity with LLMs, generative AI, or real-time inference systems.Hands-on experience with data orchestration frameworks (e.g., Airflow, Prefect, Dagster).Prior experience in startup environments with fast iteration cycles.Knowledge of cloud infrastructure (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Comprehensive Benefits - Healthcare, dental, vision coverage.Work With the Best - Join a world-class team of engineers and buildersOur Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined. Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery. What you'll bring to the role 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization. Solid programming skills (Python, JavaScript, or similar). Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos. Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Bachelor’s degree in Computer Science, Engineering, or a related technical field Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management. Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI-Remote

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About HeyGen At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com.  Visit our Mission and Culture doc here. Position Summary As a Machine Learning Engineer on the Video Translation team, you will be instrumental in advancing the quality, reliability, and scalability of our core translation technology. This role sits at the exciting intersection of backend systems engineering and Applied Generative AI. You will be responsible for the full lifecycle of our processing pipeline — spanning text, audio, and video — to deliver a flawless and accurate translation experience to millions of users. You will join a team with exceptional resources, including direct access to leading engineering partners and the ability to train and fine-tune generative models in-house. If you are passionate about building robust, high-performance systems that power cutting-edge AI products, this is the role for you. Key Responsibilities System Design & Development: Design, build, and maintain scalable, low-latency backend systems and infrastructure for our end-to-end video translation pipeline. AI/ML Pipeline Optimization: Analyze and improve the efficiency of our ML systems, focusing on reducing the real-time processing factor, minimizing resource consumption, and lowering costs. Evaluation & Quality Assurance: Develop and operate a robust AI evaluation framework to continuously benchmark in-house models and third-party vendor solutions, using both offline metrics and online (Side-by-Side) comparisons. Reliability & Monitoring: Proactively monitor system performance, errors, and quality anomalies. Analyze user feedback and system data to identify root causes, then implement and deploy durable fixes to enhance pipeline reliability. Cross-Functional Collaboration: Work closely with product managers, research scientists, and infrastructure engineers to define requirements, integrate new models, and deliver best-in-class, performant systems. Continuous Learning: Stay current with the latest advancements in generative AI, distributed systems, and MLOps to drive innovation and ensure HeyGen remains at the forefront of technology. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 2+ years of professional experience in ML engineering, building and maintaining scalable, high-performance systems. Strong proficiency in Python or C++. Demonstrated experience with AI/ML projects or MLOps, such as building data pipelines, deploying models, or creating evaluation systems. Experience building and deploying applications on at least one major cloud platform (e.g., AWS, GCP, Azure). Solid understanding of API design principles. Preferred Qualifications Experience with large-scale, distributed data processing systems (e.g., Kafka, Spark, RabbitMQ, Celery). Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes). Prior experience working directly with audio, video, or natural language processing data domains. Experience with ML frameworks such as PyTorch or TensorFlow. Proven ability to root-cause complex technical issues in a distributed systems environment. What HeyGen Offers Competitive salary and benefits package. Dynamic and inclusive work environment focused on innovation and creativity. Opportunities for professional growth and leadership development. A fast-paced, impact-driven culture with direct access to cutting-edge AI applications. Access to advanced tools, compute infrastructure, and cross-disciplinary talent. HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join us at HeyGen and be part of a team that's reshaping the world of video creation through innovative technology!

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role:Captions is seeking an exceptional Research Engineer (MOTS) to advance the state-of-the-art in large-scale multimodal video diffusion models. You'll conduct novel research on generative modeling architectures, develop new training techniques, and scale models to billions of parameters. As a key member of our ML Research team, you'll work at the cutting edge of multimodal generation while building systems that enable natural, controllable video creation. We're already training large-scale models with demonstrated product impact, and we're excited to continue expanding the scope and capabilities of our research.We're especially excited about pushing the boundaries of audio-video generation, with a focus on realistic and charismatic human behavior that enables natural storytelling and creative iteration. Our models power creative tools used by millions of creators, and we're tackling fundamental challenges in how to generate compelling human motion, expression, and speech. Key Responsibilities:Research & Architecture Development:Design and implement novel architectures for large-scale video and multimodal diffusion modelsDevelop new approaches to multimodal fusion, temporal modeling, and video controlResearch temporal video editing techniques and controllable generationResearch and validate scaling laws for video generation modelsCreate new loss functions and training objectives for improved generation qualityDrive rapid experimentation with model architectures and training strategiesValidate research directly through product deployment and user feedbackModel Training & Optimization:Train and optimize models at massive scale (10s-100s of billions of parameters)Develop sophisticated distributed training approaches using FSDP, DeepSpeed, Megatron-LMDesign and implement model surgery techniques (pruning, distillation, quantization)Create new approaches to memory optimization and training efficiencyResearch techniques for improving training stability at scaleConduct systematic empirical studies of architecture and optimization choicesTechnical Innovation:Advance state-of-the-art in video model architecture design and optimization Develop new approaches to temporal modeling for video generationCreate novel solutions for multimodal learning and cross-modal alignmentResearch and implement new optimization techniques for generative modeling and samplingDesign and validate new evaluation metrics for generation qualitySystematically analyze and improve model behavior across different regimesRequirements:Research Experience:Master's or PhD in Computer Science, Machine Learning, or related fieldTrack record of research contributions at top ML conferences (NeurIPS, ICML, ICLR)Demonstrated experience implementing and improving upon state-of-the-art architecturesDeep expertise in generative modeling approaches (diffusion, autoregressive, VAEs, etc.)Strong background in optimization techniques and loss function designExperience with empirical scaling studies and systematic architecture researchTechnical Expertise:Strong proficiency in modern deep learning tooling (PyTorch, CUDA, Triton, FSDP, etc.)Experience training diffusion models with 10B+ parametersExperience with very large language models (200B+ parameters) is a plusDeep understanding of attention, transformers, and modern multimodal architecturesExpertise in distributed training systems and model parallelismProven ability to implement and improve complex model architecturesTrack record of systematic empirical research and rigorous evaluationEngineering Capabilities:Ability to write clean, modular research code that scalesStrong software engineering practices including testing and code reviewExperience with rapid prototyping and experimental designStrong analytical skills for debugging model behavior and training dynamicsFacility with profiling and optimization toolsTrack record of bringing research ideas to productionExperience maintaining high code quality in a research environmentAbout the Team:You'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where technical innovation and research excellence are highly valued - your success will be measured by your contributions to improving our models and advancing the field, not by your ability to navigate politics. We're a team that loves diving deep into complex technical problems and emerging with practical breakthroughs.Our team values:Open technical discussions and collaborationRapid iteration and practical solutionsDeep technical expertise and continuous learningDirect impact on research and product outcomesWhat sets us apart:Opportunity to advance the state-of-the-art in video generationDirect impact on products used by millions of creatorsAccess to massive compute resources and diverse, large-scale datasetsEnvironment that values both research excellence and practical impactAbility to validate research through direct product feedbackBenefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.