Top Machine Learning Engineer Jobs Openings in 2025

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AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ127R84 Recruiter: Adam rabinovitch 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), Madrid (Spain), Paris (France), and Amsterdam (NL). Reporting to: Senior Manager - AI FDE, EMEA 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, Spanish, Dutch, 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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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners.Be part of shaping a future where humans and machines truly understand each other.The Role We’re looking for an AI Researcher to join our core AI team and help push the frontier of multimodal conversational intelligence. If you thrive in fast-paced environments, love turning abstract ideas into running code, and get energy from exploring the edge of what’s possible then this is the perfect role for you.Your Mission 🚀Conduct research on Foundational Multimodal Models in the context of Conversational Avatars (e.g., Neural Avatars, Talking-Heads).Model video, audio, and language sequences using Autoregressive, Predictive Architectures (e.g., V-JEPA), and/or Diffusion paradigms with an emphasis on temporal and sequential data rather than static images.Collaborate with the Applied ML team to bring your work to life in production systems.Stay at the cutting edge of multimodal learning and help us define what “cutting edge” means next.You’ll Be Great At This If You Have:A PhD (or near completion) in a relevant field, or equivalent hands-on research experience.Experience modeling human behavior and generation (facial expressions, affect, or speech). Ideally in conversational or interactive settings.Deep understanding of sequence modeling in video/audio/language domains.Familiarity with large model training, especially LLMs or VLMs.Strong background in Deep Learning (from Transformers to Diffusion Models) and how to make them work in practice.Excellent programming skills, especially in PyTorch.Nice-to-HavesPublications in top-tier conferences like CVPR, ICCV, NeurIPS, ECCV, or ACMMM.Broader understanding of generative AI and multimodal architectures.Familiarity with software engineering best practices.Curiosity and a flexible mindset — you like building and experimenting.Location Preferred: San Francisco (hybrid) or London (office opening soon). Remote within the U.S. or Europe available for exceptional candidates.Benefits & CultureWhen you join Tavus, you’re joining a diverse and supportive team. Our work is driven by our people, and our success is shared by all. This position has a flexible work schedule, unlimited PTO, competitive healthcare, and gear stipends, as well as plenty of fun. At the end of the day, we want Tavus to be a place for you to learn, directly drive impact, and work with a team you love.To learn more about our team culture and benefits, check out our hiring page.Tavus is growing fast, and we’d like you to grow with us. If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch.We are not looking for cultural fits, we are looking for culture creators. Diversity is what drives our success – it’s at the core of how we hire, communicate, and work. We are inclusive to all and combine our diverse backgrounds, skill sets, and perspectives to build the best experiences for our clients.

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Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials.  Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes. Where You Fit  Our Intern/Co-op program is designed to give you a real-world view of what it's like to be a Machine Learning Engineer at PathAI. You will be embedded directly into our AI product and ML Core teams, working on active projects that have a direct impact on our technical roadmap and business goals. You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions. This is your chance to contribute to meaningful work that directly relates to patient outcomes. Timeline: This opportunity is for Spring & Summer 2026. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred). Location: We have offices in Boston, MA and New York, NY and would prefer interns/co-ops who can work from one of those locations—however, we will also consider remote candidates (US based only). What You’ll Do Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models. Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques. Partner with our MLOps and platform teams to help build and improve our ML pipelines. Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs. What You Bring  Currently pursuing a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning. Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow). A solid grasp of the fundamentals of machine learning and/or computer vision. Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment. A passion for our mission to improve patient outcomes. [Nice-to-have] Any high impact contributions through any AI/ML publications, open-source projects and any AI based products. We are looking for team players who are passionate about what they do and are willing to tackle any task to contribute to our goals. You could be exactly who we are looking for! We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  

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Ideogram is on a mission to make professional-quality design accessible to everyone. We’re building an AI-native application that helps creative individuals and teams produce high-quality content faster and at a lower cost. We are pushing the boundaries of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a growing presence in NYC. Read our 3.0, Canvas and Character blog posts, and try our product at ideogram.ai to get a glimpse of what we're building.About the roleAs a Machine Learning Researcher, you will push the frontier of what’s possible with AI and build and deploy state of the art machine learning models at scale. You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges. You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects.What we're looking forPhD or Master’s degree in Computer Science or equivalent industry experience5+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box useTrack record of first-author publications at top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, ACL, EMNLP)Strong proficiency in one or more deep learning frameworks (e.g., JAX, PyTorch)Experience communicating complex research to peersSolid knowledge of programming languages and experience in developing, debugging, and optimizing beyond ML systemsNice to haveExperience in low-level machine learning optimization, such as writing CUDA kernel codeFounding Team Our founding team consists of world-renowned AI experts including Mohammad Norouzi, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, CMU, and the University of Toronto. Our fundamental work in generative media includes Imagen and Imagen Video: Google’s text-to-image and text-to-video systems.Company CultureWe're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.

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Ideogram is on a mission to make professional-quality design accessible to everyone. We’re building an AI-native application that helps creative individuals and teams produce high-quality content faster and at a lower cost. We are pushing the boundaries of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a growing presence in NYC. Read our 3.0, Canvas and Character blog posts, and try our product at ideogram.ai to get a glimpse of what we're building.About the roleAs a Machine Learning Engineer, you will build and deploy state of the art machine learning models at scale. You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges. You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects.What we're looking for5+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlowExperience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratchTrack record in machine learning innovation and familiarity with Deep Learning and advanced Machine LearningEnd-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AIAbility to debug machine learning models to iteratively improve model quality and performanceNice to have: Familiarity with kubernetes and dockerOptional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel codeFounding Team Our founding team consists of world-renowned AI experts including Mohammad Norouzi, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, CMU, and the University of Toronto. Our fundamental work in generative media includes Imagen and Imagen Video: Google’s text-to-image and text-to-video systems.Company CultureWe're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleBuild systems that transform powerful pre-trained models into aligned and general agents.Drive research and engineering initiatives that push the frontier of post-training, from data curation to large-scale optimization.Develop data generation pipelines, reward models, reinforcement learning algorithms, and inference-time scaling techniques.Collaborate across pre-training and post-training teams to deliver step-function gains in model capability.Contribute to shaping our understanding of how large models learn to reason, follow instructions, and improve through reinforcement learning.About YouDeep understanding of machine learning fundamentals and practical experience with large-scale LLM training.Strong engineering skills, comfortable diving into complex ML codebases and distributed systems.Experience improving model behavior through data, reward modeling, or RL techniques.Evidence of owning ambitious research or engineering agendas that led to measurable model improvements.Thrive in a fast-paced, high-agency startup environment; bias toward action and clarity of execution.Able to work fluidly across research and infra boundariesStrong communication capabilities and comfort working collaborativelyPassionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleResearch and build solutions across algorithms, scaling laws, data processing, optimizers, and model architecture.Design and run scientific experiments to advance our understanding of scaling large language models and data efficiency.Implement state-of-the-art methods from the deep learning literature.Lead small research projects independently while collaborating on larger initiativesOptimize the training infrastructure for efficient scaling.Contribute across the entire stack, from low-level optimizations to high-level model design.About YouGraduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.Solid software engineering capabilities with experience building large-scale systems.Experience with large-scale ETL workflows and training data preparation.Deep understanding of large-scale ML, especially as it relates to language models, distributed training, and scaling.Proficient in Python and deep learning frameworks (PyTorch preferred).Navigate trade-offs between research objectives and practical engineering realities.Thrive in a fast-paced, high-agency startup environment with bias toward action.Strong communication capabilities and comfort working collaboratively.Passionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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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 At our core, we are shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you’ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale—millions of interactions daily—while shaping the future of AI-powered contact centers.  If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems to create real product impact, you will feel right at home at Observe.AI. You’ll also have the opportunity to publish in top conferences, and influence Observe.AI’s product and platform strategy.  Beyond the tech, you’ll join a collaborative, mission-driven culture where innovation, impact, and fun go hand in hand. We value curiosity, collaboration, and the courage to push boundaries. What you’ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI’s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you’ll bring to the role Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist.  3+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP/ NLU applications. Good understanding of recent advances in building LLM-powered applications,  and multi-agent systems at scale.  Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus Published papers in top NLP/ NLU conferences or workshops are a plus Relevant open-source contributions are a plus. 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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Create Your Own RoleIf you’re exceptional at what you do - whether it’s backend systems, sales, AI research, product design, or something we haven’t even thought of yet - we want to talk to you.At FurtherAI, we hire for talent and ambition first. Titles can come later.About UsAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised a $5M seed round from top investors (YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Why Join UsRocketship Growth: Post-PMF, with revenue growing at an exceptional pace.Elite Team: Founding team includes ex-Apple AI Research, 4 ex-YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon.Technical Depth: Work alongside a staff research scientist and a team of 7 engineers solving cutting-edge problems in AI and scalable backend systems.Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates.Founder’s Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Sell-Side Finance Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to sell-side finance contexts. In this role, you will leverage your expertise in trading strategies, trade execution, investment banking transactions, client sales, regulatory compliance, operational workflows, and risk assessment to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world sell-side finance dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for sell-side finance projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving trading strategies, trade execution, investment banking transactions, client sales, regulatory compliance, operational workflows, and risk assessment. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for sell-side finance data. Select and analyze complex problems in sell-side finance fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. Required Qualifications Professional experience in sell-side finance or related fields (e.g., trader, execution specialist, investment banker, sales professional, compliance officer, operations specialist, or risk manager). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in sell-side finance. Preferred Qualifications Relevant certification or advanced training (e.g., Series 7, Series 63, CFA, FRM, or similar finance-related certification). Experience mentoring or training others in sell-side finance practices, such as trading, sales, or compliance. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly & Other Expectations This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required. US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. For remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later, and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role This teams' principal responsibility is to rapidly bring up state-of-the-art open-source models, frameworks and data engineering. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI applications. Responsibilities Contribute to the end-to-end bring up of frameworks for RL, inference serving, ML models on Cerebras CSX systems. Work across the stack: model architecture translation, graph lowering, compiler optimizations, runtime integration, and performance tuning. Debug performance and correctness issues spanning model code, compiler IRs, runtime behavior, and hardware utilization. Propose and prototype improvements across tools, APIs, or automation flows to accelerate future bring ups. Skills & Qualifications Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field with 8 to 12 years’ experience. Comfort navigating the full AI toolchain: Python modelling code, compiler IRs, performance profiling, etc. Strong debugging skills across performance, numerical accuracy, and runtime integration. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with model internals (e.g., attention, MoE, diffusion). Proficiency in C/C++ programming and experience with low-level optimization. Strong background in optimization techniques, particularly those involving NP-hard problems. What We Offer Competitive salary and benefits package. Opportunities for professional growth and career advancement. A dynamic and innovative work environment. The chance to work on cutting-edge technologies and make a significant impact on the future of AI.  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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Our Mission Aleph Alpha Research’s mission is to deliver AI innovation that enables open, accessible, and trustworthy deployment of GenAI in enterprise applications. Our organization develops foundational models and next-generation methods that make it easy and affordable for Aleph Alpha’s customers to increase productivity in finance, administration, R&D, logistics, and manufacturing processes. We do this with a flat hierarchy and IC-driven culture: ideas come from the bottom up, and it’s our shared responsibility to deliver impactful research.We’re looking for skilled Software Engineers to join our research team, headquartered in Heidelberg, with a focus on evaluating the capabilities, safety, and trustworthiness of our models. While we highly value in-person work, we offer flexibility to work from Berlin or elsewhere in Germany, with regular travel to onsite events.Your responsibilitiesAs an AI Software Engineer in Model Evaluation, you will help design, implement, and scale the systems that measure our models’ performance at the cutting edge. You will work closely with researchers to create evaluation benchmarks, datasets, and environments that test model capabilities, safety, and reliability across tasks from multilingual understanding to mathematical reasoning and creativity.You will own significant portions of our evaluation infrastructure, including dataset generation pipelines, automated benchmarking tools, analysis dashboards, and large-scale evaluation orchestration on our compute clusters. You’ll be building tools and experiments that drive product decisions, shape research priorities, and guide responsible deployment of our models.This is high-scale, high-impact engineering: you’ll work with petabyte-scale data, run evaluations across large-scale distributed GPU clusters, and deliver insights that inform the direction of Aleph Alpha’s research.Our current open source eval-framework can be found here.You can expect to contribute to the following areas:Design and develop scalable evaluation tooling to accelerate research and measure model progress.Collaborate with researchers to design evaluation tasks and benchmarks targeting advanced model capabilities.Deep-dive on evaluation performance to ensure our tools run efficiently at scale.Build pipelines for generating, curating, and maintaining high-quality evaluation datasets.Implement automated analysis systems to interpret results and highlight strengths, weaknesses, and regressions.Collaborate with Product teams to design evaluations aligned with real-world application needs.Contribute to papers and reports documenting our evaluation methodologies and results for internal and external audiences.Mentor engineers and researchers on evaluation best practices, software engineering, and tooling.Co-own efforts to make evaluation datasets, tools, and results available to the broader research community, including in Apache 2.0 open-source releases.Your profileWe hire slowly and deliberately. We recognise that we need top talent to deliver top research, and we value ability over experience: if you think you would be a good fit for this role, we’d encourage you to apply even if you do not meet all of the following qualifications.Basic QualificationsBachelor’s degree in computer science, engineering, or a related field.Willingness to work in Germany. Our primary working locations are Heidelberg (preferred) and Berlin, although there is some flexibility to work from other locations in Germany, with regular travel to Heidelberg expected regularly, potentially weekly.Proficiency in programming and a passion for crafting high-quality, maintainable software while following engineering best practices (e.g., TDD, DDD).Curiosity to dig deep into how models work and how to measure their capabilities.Desire to take ownership of problems and collaborate with other teams to solve them.Motivation to learn AI-related topics and get up-to-speed with the cutting edge.Strong communication skills, with the ability to convey technical solutions to diverse audiences.Preferred QualificationsMaster’s (or PhD) degree in computer science or related fields.Familiarity with evaluation and benchmarking frameworks for AI models.Experience working with distributed systems for large-scale data processing or evaluation orchestration.Experience in dataset creation, annotation, and curation for complex AI tasks.Familiarity with LLM architectures, popular NLP tools (e.g., PyTorch, HF Transformers), and automated evaluation techniques (e.g., LLM-as-a-judge, multi-turn evaluation).Experience designing evaluations for safety, trustworthiness, and bias in AI systems.Strong skills in data visualization, dashboarding, and reporting for evaluation results.Familiarity with cluster management systems, model/data lineage, and MLOps workflows.We do not require prior experience in AI for this role, but we value eagerness to learn. If you have prior experience in AI, we will be particularly excited about your ability to translate evaluation insights into actionable improvements for models and systems.Our tenetsWe believe embodying these values would make you a great fit in our team:We own work end-to-end, from idea to production: You take responsibility for every stage of the process, ensuring that our work is complete, scalable, and of the highest quality.We ship what matters: Your focus is on solving real problems for our customers and the research community. You prioritize delivering impactful solutions that bring value and make a difference.We work transparently: You collaborate and share your results openly with the team, partners, customers, and the broader community through publishing and sharing results and insight including blogposts, papers, checkpoints, and more.We innovate through leveraging our intrinsic motivations and talents: We strive for technical depth and to balance ideas and interests of our team with our mission-backwards approach, and leverage the interdisciplinary, diverse perspectives in our teamwork.What you can expect from usBecome part of an AI revolution!30 days of paid vacationAccess to a variety of fitness & wellness offerings via WellhubMental health support through nilo.healthSubstantially subsidized company pension plan for your future securitySubsidized Germany-wide transportation ticketBudget for additional technical equipmentFlexible working hours for better work-life balance and hybrid working modelVirtual Stock Option PlanJobRad® Bike Lease

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Your New Role and TeamSanctuary AI, a world leader in building dexterity-driven Physical AI for general purpose robots, is seeking Machine Learning (ML) Engineers to join our team of seasoned engineers, researchers, and scientists who are dedicated to tackling fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning. As a member of the ML team, your role will focus on building robust systems for training and running ML policies on robots, and working closely with researchers to implement and deploy novel ML techniques into production. With access to our in-house robotic platforms, you’ll design, test, and refine software that connects state-of-the-art methods to real-world performance. This position offers a unique chance to contribute to both the engineering foundations and applied ML capabilities that drive our robots forward. As part of this role, you will occasionally travel (typically one to two weeks at a time, several times per year) to collaborate closely with partners and teams in advancing critical projects. Success CriteriaCollaborate with cross-functional teams to identify opportunities for applying machine learning techniques to solve complex problems.Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges.Implement scalable and efficient software solutions to integrate machine learning models into production systems.Optimize and fine-tune machine learning algorithms for improved performance and accuracy.Conduct thorough testing and validation of machine learning models to ensure robustness and reliability.Stay updated on the latest developments and advancements in machine learning and communicate promising research directions to the team.Provide technical guidance and mentorship to junior team members. Your ExperienceQualificationsMaster’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.3+ years of experience in machine learning methods, with specialization in areas such as reinforcement or imitation learning for dexterous manipulation, computer vision for robotics, or natural language processing.4+ years of software engineering experience, with a focus on developing and deploying production-grade applications.Hands-on experience deploying ML models to production.Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn).Experience with ROS2 and parallel computing (e.g., CUDA, OpenMP).Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.Demonstrated experience applying ML techniques in real-world systems is strongly valued. Publications are welcome but not expected for this role.Familiarity with robotics principles and technologies is highly desirable. SkillsStrong programming proficiency in Python and C++.Working knowledge of core machine learning techniques and algorithms (e.g., supervised/unsupervised learning, deep learning, reinforcement learning, natural language processing) and the ability to apply them effectively in software systems.Ability to optimize and fine-tune ML algorithms for performance and accuracy.Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.Leadership and mentorship ability, supporting the growth of junior team members. Traits:Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems.Takes ownership and accountability, fostering the same in teammates.Empathetic listener with conflict resolution capabilities.Consistent bias for action, communication, and interpersonal savvy.Self-motivated and able to solve problems independently.Mission driven and passionate about bringing human-like intelligence to machines.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. As an AI Tutor - Chemical Engineering specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff  to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly require you to interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a Master's or PhD in Chemical Engineering, or a highly-related field. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation. Preferred Qualifications Possess a PhD in Chemical Engineering. Substantial professional experience working on real-world problems in this domain. Possess experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as a chemical engineer. Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Get to Know UsHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results. What We're Looking For:We're looking for an Applied AI Engineer with deep experience deploying emerging AI technology in production and a demonstrated interest in security. You will have a major impact in how we add value to our customers by using emerging AI technologies and exposing their vulnerabilities. You will help design and implement AI solutions—from crafting components for offensive security operations to contributing to our autonomous offensive testing capabilities—that surface vulnerabilities across the AI application stack and outputs, partnering closely with senior engineers to translate research into reliable, scalable systems. This position requires practical expertise in creating, implementing, launching, machine learning systems and an interest in attacking them.Essential FunctionsBuild sophisticated AI systems capable of discovering vulnerabilities and streamlining penetration testing methodologiesResearch and implement AI-driven vulnerability detection and exploitation methodsAutomate exploitation workflows using AI technologiesLead complete development lifecycles for AI features from concept through deploymentDesign and implement advanced testing capabilities that detect vulnerabilities in AI-native applicationsResearch and target emerging attack vectors specific to applications developed with AI and implement detection methodsImplement scalable solutions that can use AI to exploit traditional CVEs, credential-based attack paths, and data pilfering vectorsGuide technical conversations, assess code quality, and facilitate design meetings while sharing knowledge to enhance team capabilitiesSupport and guide less experienced team members, fostering their professional developmentCompetencies/Requirements3+ years proven track record building and deploying AI/ML solutions in live environmentsExpert-level Python programming abilitiesYou’ve shipped and maintained AI/ML systems, not just built prototypes, and ideally in multiple domainsDemonstrated interest in cybersecurity and penetration testingKnowledge of AI frameworks and machine learning libraries (such as TensorFlow, PyTorch, Hugging Face, OpenAI APIs, and LangChain)Experience with ML data preprocessing techniques including normalization, feature engineering, and dataset preparation for model training and fine tuningExperience with cloud AI platforms such as AWS Bedrock, AWS SageMaker, and Azure AI, with ability to implement and optimize solutions across environmentsStrong analytical skills and ability to clearly communicate complex security conceptsComprehensive understanding of various database technologies, including relational and non-relational systemsDesired/Nice to HaveWe don’t expect these, but they elevate your application to “unicorn” status.Background in training specialized machine learning models for security purposesExperience with and understanding of AI-specific vulnerabilitiesBackground in AI security offense, testing AI system vulnerabilities, or creating automated security solutions powered by artificial intelligencePrevious experience analyzing security using large language models, conducting penetration testingExperience with AI red teaming or learning model vulnerabilitiesDemonstrated examples of exploiting AI-specific vulnerabilitiesBackground in AI security offense, testing AI system vulnerabilities, or creating automated security solutions powered by artificial intelligencePrevious experience analyzing security using large language models, conducting penetration testing enhanced by AI technologies, and researching machine learning weaknesses and countermeasuresExpectations:Outstanding problem-solving aptitude, a “hacker mindset”.Be self-motivated and highly energetic to have the ability to operate effectively with limited supervision and guidance.Strong technical documentation and communication skills.Ability to manage concurrent initiatives and use effective judgment in prioritization and time management.Excellent analytical/problem solving ability.What makes you stand out:Elevate your application to “unicorn” status:Experience identifying attack paths across full-stack environmentsBackground in application security testing, penetration testing, or offensive securityUnderstanding of web application security fundamentalsCertification(s) demonstrating cybersecurity expertise such as OSCP, CISSP, GPEN, Security+, LPT, or CEH. Perks of Horizon3.aiInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Remote Work: We are a 100% remote company. Enjoy the convenience and work-life balance that comes with remote work. Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision & dental insurance for you and your family, a flexible vacation policy, and generous parental leave.Compensation and ValuesAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.Additional compensation: All full-time roles are eligible for an equity package in the form of stock options.You Belong HereHorizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. 

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About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.The Opportunity Join Arize AI's Engineering team working on OpenInference – the industry-leading open-source standard for AI observability, LLM and agent instrumentation. You'll be at the forefront of defining how organizations instrument, trace, and observe their AI applications across the entire ecosystem, shaping the future of AI development worldwide. This role puts you at the epicenter of the AI landscape, working directly on the OpenInference repository that powers AI observability for thousands of developers worldwide. You'll synthesize requirements from both the vibrant open-source community and real-world enterprise deployments, translating these diverse needs into practical instrumentation capabilities that drive the future of AI innovation. This is NOT a role for everyone – it demands exceptional technical versatility, deep community engagement, and end-to-end ownership from conception to delivery. What You’ll Do Build new LLM and instrumentation libraries for emerging LLM providers and agent frameworks Maintain and enhance existing instrumentation across Python and TypeScript ecosystems, and others (OpenAI, Anthropic, LlamaIndex, CrewAI and many more) Drive improvements to semantic conventions and OpenTelemetry standards that define AI observability Collaborate with the global developer community through GitHub, Slack, and conferences, as well as Arize PMs and solution architects Take complex problems from ideation to completion with full ownership and accountability What We’re Looking For 3-5+ years of software development experience shipping production code  Expert-level proficiency in both Python and TypeScript Community-oriented mindset with genuine passion for collaborative open-source development Deep interest in AI/LLM ecosystem with desire to stay current on emerging technologies Strong analytical skills to distill requirements from diverse sources and stakeholders Bonus Points, But Not Required Experience building SDK clients, instrumentation libraries, or platform APIs Hands-on experience with AI/ML observability or evaluation systems What Makes This Role Unique? You'll have direct impact on the AI ecosystem by building instrumentation that powers the next generation of AI applications across thousands of companies. Working at the intersection of open-source community building and enterprise-scale AI deployments, you'll help define industry standards while staying at the forefront of LLM technologies. The estimated annual salary for this role is between $125,000 - $225,000, plus a competitive equity package. Actual compensation is determined based on a variety of job-related factors that may include transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefits package, including medical, dental, vision, a 401(k) plan, unlimited paid time off, a generous parental leave plan, and additional support for mental health and wellness. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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Black Forest Labs is a cutting-edge startup pioneering generative image and video models. Our team, which invented Stable Diffusion, Stable Video Diffusion, and FLUX.1, is currently looking for a Forward Deployed MLE to help us take our core offerings and expertise to the hands of our critical customers. We are looking for candidates with a strong understanding and a clear grasp of the inner workings of generative models - diffusion models especially - as well as prior hands-on experience in inference optimization. Additionally some experience serving these models via APIs would be a bonus. You should enjoy working with customers, better understand their needs and assist them with BFL models such as help with finetuning FLUX models for their specific use case. The Role As a Forward Deployed Machine Learning Engineer for BFL you will: Help customers to set up FLUX models in their services and ensure an optimal performance in terms of latency and output quality, both for on premise deployments and BFL-hosted integrations. Design and implement deep product integrations for customers, and help them with model hosting, finetuning, deployment and inference optimization Customize foundation models for visual media for customer specific use cases Meet with customers to identify gaps and pain points, assess their needs for BFL’s solutions, and help them to decide between BFL-hosted and on premise deployments Collaborate with customers to identify relevant use cases and find innovative solutions for solving these Identify expansion potentials for BFL’s technologies into new industry sectors across the globe Ideal experiences Experience in working directly with customers, iterating on solutions and providing tailored support for serving generative AI models Prior experience with common generative modeling approaches and hands-on experience with finetuning, optimizing and serving deep learning models. Proven track record in machine learning engineering Proficiency in Python and understanding of API integrations to implement basic functionality and help customers with prototyping/demo building. Experience in explaining and summarizing sophisticated technical concepts to both technical and non-technical audiences Excellent communication skills and experience in collaborating with non-technical stakeholders internally and externally, and the ability to adapt messaging to different audiences and explain complex technical concepts in simple terms with technical and non-technical audiences Nice to have Prior knowledge about diffusion models and/or flow matching, and relevant finetuning and distillation techniques Experience in using common open source tooling around from the FLUX ecosystem such as ComfyUI and common trainer frameworks Experience with inference optimizations for transformer based machine learning models Proven ability to architect solutions in complex enterprise environments Contributed to open-source projects in particular in the space of diffusion models Experience with cloud platforms and state of the art deployment solutions for diffusion models  

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Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 55,000 businesses. If you are an expert in post-training Diffusion models for generative AI, this is your chance. This is an opportunity to work for a company that is impacting businesses at a rapid pace across the globe. In this position, you’ll join our Post-Training Team that works on generative video creation. You will make it possible to apply our foundational models to production use cases. This includes projects such as: Apply DPO (direct preference optimisation) to pre-trained models. Adapt models to extend their capabilities, for instance, by changing conditioning inputs. Build solutions for dubbing and evaluate the quality of lip-sync. Implement post-training optimization techniques, such as quantization, pruning and distillation, to improve the efficiency of diffusion models used in avatar generation. Analyze and address challenges related to model performance, ensuring high-quality output in avatar rendering. Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: You have a background in Computer Vision / Computer Science and 3+ years of industry experience. You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient attention) You have worked with generative models for images and/or videos (Diffusion/GAN) preferably in the avatar domain. You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python and you care about writing clean code. You have experience with SDLC tools (Git), preferably CI/CD Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security. The good stuff... Competitive compensation (salary + stock options + bonus) Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.  25 days of annual leave + public holidays Great company culture with the option to join regular planning and socials at our hubs + other benefits depending on your location You can see more about Who we are and How we work here: https://www.synthesia.io/careers  LI-MD1  

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Building the Open Superintelligence Lab Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others. Role ImpactThis is a customer facing role at the intersection of cutting-edge RL/post-training methods and applied agent systems. You’ll have a direct impact on shaping how advanced models are aligned, deployed, and used in the real world by:Advancing Agent Capabilities: Designing and iterating on next-generation AI agents that tackle real workloads—workflow automation, reasoning-intensive tasks, and decision-making at scale.Building Robust Infrastructure: Developing the distributed systems and coordination frameworks that enable these agents to operate reliably, efficiently, and at massive scale.Bridge Between Customers & Research: Translate customer needs into clear technical requirements that guide product and research priorities.Prototype in the Field: Rapidly design and deploy agents, evals, and harnesses alongside customers to validate solutions. Customer-Facing EngineeringWork side-by-side with customers to deeply understand workflows and bottlenecks.Prototype agents and eval harnesses tailored to real use cases, then hand off hardened systems to core teams.Translate customer insights into roadmap and research direction.Post-training & Reinforcement LearningDesign and implement novel RL and post-training methods (RLHF, RLVR, GRPO, etc.) to align large models with domain-specific tasks.Build evaluation harnesses and verifiers to measure reasoning, robustness, and agentic behavior in real-world workflows.Prototype multi-agent and memory-augmented systems to expand capabilities for customer-facing solutions.Agent Development & InfrastructureRapidly prototype and iterate on AI agents for automation, workflow orchestration, and decision-making.Extend and integrate with agent frameworks to support evolving feature requests and performance requirements.Architect and maintain distributed training/inference pipelines, ensuring scalability and cost efficiency.Develop observability and monitoring (Prometheus, Grafana, tracing) to ensure reliability and performance in production deployments..RequirementsStrong background in machine learning engineering, with experience in post-training, RL, or large-scale model alignment.Deep expertise in distributed training/inference frameworks (e.g., vLLM, sglang, Ray, Accelerate).Experience deploying containerized systems at scale (Docker, Kubernetes, Terraform).Track record of research contributions (publications, open-source contributions, benchmarks) in ML/RL.Passion for advancing the state-of-the-art in reasoning and building practical, agentic AI systems.What We OfferCompetitive Compensation + equity incentivesFlexible Work (remote or San Francisco)Visa Sponsorship & relocation supportProfessional Development budgetTeam Off-sites & conference attendance Growth OpportunityYou’ll join a mission-driven team working at the frontier of open, superintelligence infra. In this role, you’ll have the opportunity to:Shape the evolution of agent-driven solutions—from research breakthroughs to production systems used by real customers.Collaborate with leading researchers, engineers, and partners pushing the boundaries of RL and post-training.Grow with a fast-moving organization where your contributions directly influence both the technical direction and the broader AI ecosystem.If you’re excited to move fast, build boldly, and help define how agentic AI is developed and deployed, we’d love to hear from you.Ready to build the open superintelligence infrastructure of tomorrow? Apply now to help us make powerful, open AGI accessible to everyone.

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About Ema: Ema is at the forefront of artificial intelligence research and application, dedicated to creating cutting-edge AI solutions that empower users globally. Join our dynamic team to help shape the future of AI technology.Responsibilities:Create Enterprise AI Model Evaluation Test Sets: Develop and maintain comprehensive test sets tailored for various enterprise use cases.Evaluate AI Models: Assess different versions, personas, and prompts of Ema on multiple quality parameters. Ensure new features and updates meet established standards before launch.Generate AI Evaluation Reports: Compile detailed evaluation reports that provide insights for improving persona setups and Ema's AI models.Test UX Flows: Evaluate the efficacy and usability of auxiliary user experience flows to ensure seamless end-to-end GenAI usage for Ema’s users.Automate Testing Flows: Develop and implement scripts and browser automation tools to streamline testing processes. Enhance testing velocity and early issue detection to improve overall product quality.Requirements:Educational Background: Bachelor’s degree required. Degrees in engineering, linguistics, or psychology preferred.Communication Skills: Strong verbal and written English communication skills are essential.Professional Experience: 1-3 years of prior professional experience. Experience in content creation, QA testing, prompt engineering, or editing is preferred.Benefits:Stay at the cutting edge of GenAI research, guided and coached by top researchers in the field.Learn best practices for solving user problems with GenAI products.Collaborate across cross-functional teams to effectively achieve customer impact.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.