Top AI Machine Learning Engineer Jobs Openings in 2025

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.As a Generative AI Engineer on the ED&A team, you will design, develop, and deploy enterprise AI applications for internal stakeholders — primarily using Dataiku’s platform and associated tooling. You’ll work with large language models (LLMs) from third-party providers (OpenAI, Anthropic, AWS Bedrock, Azure, etc.), build full-stack web applications, and create specialized “Agents” (and corresponding “Agent Tools”) capable of executing complex tasks. Success in this role requires strong programming abilities (Python, SQL, HTML/CSS/JS), excellent communication skills, and a deep interest in operationalizing generative AI across the company. How you'll make an impact   Solution Development & Integration Design end-to-end Generative AI solutions on Dataiku’s platform (or Python-based frameworks where needed). Integrate and optimize third-party LLM APIs (OpenAI, Anthropic, AWS Bedrock, Azure etc), focusing on prompt engineering and orchestration (e.g., LangChain). Build and maintain robust data pipelines, ensuring AI applications are performant and secure. Agent & Agent Tool Creation Develop and implement autonomous or semi-autonomous AI “Agents” that interact with multiple data sources and services. Design Agent Tools (e.g., data retrieval modules, decisioning logic, automated workflows) that Agents can leverage to fulfill complex tasks. Monitor Agent performance and iterate based on usage data, business feedback, and changing requirements. Web Application Development Create front-end user interfaces (UI) for AI applications using HTML, CSS, and JavaScript—often within Dataiku’s webapps framework. Collaborate on UX design, ensuring internal stakeholders find solutions intuitive and responsive. Collaboration & Governance Work closely with analytics and data engineering teams to maintain metadata on reference datasets for LLM consumption. Adhere to data governance, security, and regulatory compliance requirements for all GenAI solutions. Partner with stakeholders to identify opportunities for AI-driven process optimization and automation. Continuous Learning & Thought Leadership Provide product feedback to the development team to improve the product. Stay current with industry trends, particularly around AI agent frameworks and LLM best practices (LangChain, prompt engineering, vector databases). What you'll need to be successful  Must have strong Python skills (including familiarity with typical data science libraries). Experience developing AI, ML, or analytics solutions in a production setting; familiarity with agentic workflows (task decomposition, tool chaining, autonomous decision-making) and hands-on experience building AI agents is a plus. Web development fundamentals (HTML, CSS, JavaScript); experience with Dataiku webapps or similar frameworks a bonus. Familiarity with LangChain or similar LLM orchestration libraries is strongly preferred. Exposure to third-party LLMs (OpenAI, Anthropic, AWS Bedrock, Azure) or other NLP/AI APIs. Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or a related field; equivalent experience also considered. Demonstrated ability to integrate multiple technologies, optimize workflows, and deliver user-friendly AI solutions. Strong communication and presentation skills, capable of collaborating effectively with both technical and non-technical stakeholders. Problem-solving mindset with a passion for innovation and delivering measurable business value. Openness to learning new tools (e.g., Dataiku) and adapting to an evolving tech landscape. Must be currently based within the EST timezone, but ideally located in New York City.  Why join our team?  Work with Cutting-Edge Tech: You’ll gain hands-on experience with Dataiku’s platform, LangChain, and leading LLM providers. Impact & Visibility: Our GenAI solutions address critical business needs, offering high visibility and meaningful impact. Collaborative Environment: We prioritize teamwork, mentorship, and continuous learning—perfect for both experienced engineers and those just starting out. Career Growth: From contributing to technical roadmaps to presenting results to stakeholders, you’ll have countless opportunities to develop your skills and influence the company’s AI strategy. Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.  Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.US only national base pay ranges$162,000—$185,000 USD  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.So, what’s the role all about? The Associate Professional Services Engineer is a customer-facing, billable role responsible for delivering specialized expertise and solutions for NICE products and services. This includes implementing, configuring, and optimizing AI-driven applications, such as chatbots, knowledge assistants, and other digital solutions, for enterprise contact centers. The position combines technical and business responsibilities, requiring engagement with clients to understand their needs, provide consultative support, and deliver cutting-edge solutions. How will you make an impact? Technical Implementation: Configure, program, and develop NICE solutions, including AI, NLU, ACD, IVR, ASR, and CRM integrations. Lead the design and development of multiple AI and bot applications, ensuring alignment with customer requirements and industry best practices. Optimize and maintain multiple AI bots, including both generative and legacy models. Implement and enhance AI-driven services such as knowledge assistant engines and conversational intelligence. Project Management:    Collaborate with project managers to design and oversee end-to-end project rollouts. Manage system lifecycle development, change control processes, and risk analysis for enterprise solutions. Ensure seamless project execution through inter-departmental coordination and clear communication. Business Consulting: Provide subject matter expertise on NICE digital products and AI solutions during client consultations. Conduct business analysis to assess user needs, design tailored solutions and provide industry guidance. Promote the use of AI tools to enhance decision-making and operational efficiency across business units. Leadership and Mentorship: Mentor and lead project teams, sharing expertise and fostering a collaborative environment. Develop documentation and processes for emerging digital products from R&D teams. Have you got what it takes? Bachelor’s degree in technical (e.g., Computer Science, Information Systems, Electrical Engineering) or business field (e.g., Marketing, MIS) or equivalent work experience. 3+ years of professional experience, with 1+ years in digital channels or AI/Bot software applications preferred. Proven expertise in: Technical configuration and programming of AI and contact center technologies. CRM integrations, APIs, and other ecosystem technologies. Best practices for contact center operations and KPIs. Familiarity with: Generative AI models, NLU techniques, and automation principles. Industry trends and emerging technologies in AI and digital customer engagement. Desired personal traits: Analytical and inquisitive mindset. Team-oriented with strong interpersonal skills. Early adopter of innovative technologies. Strong sense of accountability and ownership.  Professional communication, behavior and demeanor. What’s in It for You?  Join an ever-growing, market-disrupting global company where teams of top talent work in a fast-paced, collaborative, and creative environment. NICE offers endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate about innovation and thrive in dynamic settings, this is your chance to make an impact. Flexible Work Model: Experience the NICE-FLEX hybrid model with two days in the office and three days of remote work per week, fostering collaboration and innovation while maintaining work-life balance. Requisition ID: 7923 Reporting To: Tech Manager Role Type: Individual ContributorAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the team We are seeking passionate Research Scientists and Engineers to join our growing Pre-training team in Zurich. We are involved in developing the next generation of large language models. The team primarily focuses on multimodal capabilities: giving LLMs the ability to understand and interact with modalities other than text. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Responsibilities In this role you will interact with many parts of the engineering and research stacks. Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications & Experience We encourage you to apply even if you do not believe you meet every single criterion. Because we focus on so many areas, the team is looking for both experienced engineers and strong researchers, and encourage anyone along the researcher/engineer spectrum to apply. Degree (BA required, MS or PhD preferred) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and deep learning frameworks Have worked on high-performance, large-scale ML systems, particularly in the context of language modeling Familiarity with ML Accelerators, Kubernetes, and large-scale data processing Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment You'll thrive in this role if you Have significant software engineering experience Are able to balance research goals with practical engineering constraints Are happy to take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Have ambitious goals for AI safety and general progress in the next few years, and you’re excited to create the best outcomes over the long-term Sample Projects Optimizing the throughput of novel attention mechanisms Proposing Transformer variants, and experimentally comparing their performance Preparing large-scale datasets for model consumption Scaling distributed training jobs to thousands of accelerators Designing fault tolerance strategies for training infrastructure Creating interactive visualizations of model internals, such as attention patterns If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About the TeamThe Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights—training data, evaluation methods, and techniques—to shape our frontier model development. On the other hand, we leverage these learning to build the science and engineering of impactful frontier model deployment.Put differently, we want to understand: if AGI is viewed as AI being able to majorly transform our economy, how close are we to AGI? What’s still missing? How do we bridge these gaps? About the RoleAs a Research Engineer on the Focused Bets effort in the Strategic Deployment team, you will help OpenAI identify real-world domains that are ripe for transformation through frontier AI capabilities. You’ll act as a technical lead and hands-on builder, partnering with subject matter experts to understand the key aspects of a given domain, pinpointing the most critical tasks in that domain, and developing technical proofs-of-concept that build conviction driving OpenAI’s strategic engagements.We’re looking for people who combine a strong machine learning background with an entrepreneurial mindset—engineers who can thrive in ambiguity, quickly iterate toward the signal, and adapt their approach as new insights emerge. You should be deeply curious about where AI can (and can’t yet) have impact, and excited to push the boundaries of what’s possible.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Drive research and prototyping sprints into specific domains in collaboration with domain experts.Translate real-world tasks into tractable ML/engineering problems and develop proof-of-concept solutions using OpenAI models and tools.Deliver working demos, run in-the-wild evaluations, and distill insights into actionable guidance for OpenAI’s research and deployment teams. You might thrive in this role if you:Care about real-world impact of AI.Are excited to drive how frontier models are developed and deployed.Have hands-on experience in AI research, systems, or applied science.Are excited by startup-style ambiguity and enjoy working across disciplines to drive a project from zero to one.Enjoy working in open-ended problem spaces and high-feedback environments.Are a curious, adaptable generalist who enjoys learning fast, asking deep questions, and solving open-ended problems.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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We are looking for a highly skilled Member of Technical Staff to lead the development of cutting-edge workflows. You will build autonomous systems that can navigate complex scientific tasks entirely through natural language conversation. In your role, you will architect and deploy reasoning systems that democratise access to breakthrough synthetic biology tools, enabling researchers worldwide to leverage our frontier models through intuitive chat interfaces.Who we are:At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.We're looking for innovators passionate about tackling complex challenges and maximising positive global impact. Join us on our moonshot mission.Who You Are:You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture.You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch.You understand intelligent information retrieval. You have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge extraction.You can architect complex workflows. You have experience with workflow orchestration tools (Airflow, Prefect, Temporal) or have built custom pipeline systems for multi-step autonomous processes.You bridge science and engineering. You are comfortable with scientific computing libraries (NumPy, SciPy, pandas) and understand scientific literature formats, databases (PubMed, arXiv), and academic data processing.What Sets You Apart:You have a research background. You are a former academic researcher who transitioned to industry ML/AI roles, or a research software engineer with deep ML/AI experience.You're passionate about scientific automation. You have experience with document processing, OCR, text extraction from academic papers, and scientific data formats.You understand the research ecosystem. You have worked in academic or pharmaceutical research environments and understand research workflows and publishing processes.You're a multimodal specialist. You have a background in natural language processing, particularly for scientific text processing and citation networks.Your Responsibilities:Build autonomous scientific agents that can execute complex research workflows through natural language interaction—from protein structure analysis to experimental design.Architect end-to-end reasoning systems that integrate our platform capabilities with intelligent decision-making, enabling users to accomplish sophisticated tasks through simple chat interfaces.Develop knowledge discovery pipelines that can autonomously mine scientific literature, identify undrugged disease pathways, and propose novel therapeutic targets.Create scientific content at scale by building agents that can design experiments, generate hypotheses, and produce research-grade articles and blog posts.Pioneer autonomous lab workflows by developing agents that can design complex biological systems (like protein-based logic gates) and orchestrate their validation.Collaborate with scientists to understand research pain points and translate them into intelligent automation solutions.Publish and evangelise breakthrough applications of agentic workflows in synthetic biology through articles, blog posts, and scientific demonstrations.Apply:We offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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Ryz Labs is seeking Blender - AI Trainer who are eager to collaborate with leading AI labs to push the boundaries of frontier AI models. You will work to train and evaluate these models to understand, replicate, and enhance the workflows developers use on these platforms. Qualifications: - Have 2+ years of experience in working with Blender.- Possess deep expertise using and understanding Blender as a tool.- Demonstrate strong attention to detail.- Have excellent verbal and written communication skills. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Notable is the leading intelligent automation company for healthcare. Customers use Notable to drive patient acquisition, retention, and reimbursement, scaling growth without hiring more staff. We don’t just make software.We are on a mission to fix the broken U.S. healthcare system by helping to eliminate the massive administrative burden that is placed on our nation’s healthcare staff. We hire people from diverse backgrounds and are always looking for employees who bring fresh ideas to our space. Passion is paramount, and at Notable, you will get to work with other talented people who aim to set a new standard for innovation in healthcare.Role Summary:As an ML/AI engineer at Notable, you'll work on developing and deploying conversational AI models and agents across text, image and voice modalities, helping users automate tedious but valuable healthcare administrative tasks.What You’ll Do:Work with the product development team and product managers to define scope of work, timeline and product specificationsWork with backend engineers to deploy, maintain and scale AI modelsDefine interfaces between the microservices that runs and delivers AI modelsDiscover, collect, clean and transfer data to train AI modelsExperimentation of different AI models, methodologies, frameworks and communicate critical evaluation metrics to product teamsExplore, refine, improve best practices within the ML teamPush the boundaries of ML and AI and innovate on how to best leverage existing technologies to solve new problemsWhat We’re Looking For:7+ years of experience working in a relevant roleDemonstrated ability to translate business requirements and metrics into machine learning model specificationsQuickly prototype new models from open-sourced code and demonstrate resultsAbility to design and train new model architectures for complex dataExperience working with real-world data: large, messy, incomplete, irregular, etc.Experience working with a mix of structured and unstructured dataProficiency with Python and the standard ML stack (numpy, pandas, scikit-learn)Experience with a deep learning package, e.g. Tensorflow, PyTorchExperience deploying ML models in productionBeware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be me from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.

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About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role: As a Forward Deployed AI Engineer at webAI, you will be on the front lines of integrating cutting-edge AI solutions into real-world enterprise environments. You will work directly with customers to understand their needs, deploy AI systems into their infrastructure, and ensure high performance and reliability at scale. You’ll help bridge the gap between research, engineering, and operations—playing a pivotal role in building the future of edge AI.This role will require a minimum of 25% travel, including occasional on-site work at customer locations to support deployment, troubleshooting, and integration of our platform within enterprise environments.Key Responsibilities:Collaborate closely with customers to scope, deploy, and maintain AI solutions in production environments.Debug and optimize data pipelines and AI systems running on customer networks.Translate complex, often ambiguous customer requirements into well-scoped technical solutions.Work across the stack—from model inference on consumer hardware to infrastructure automation.Read hardware schematics/logs to identify performance bottlenecks and suggest improvements.Serve as a trusted technical advisor to enterprise clients, representing the engineering team externally.Contribute feedback and insight to internal teams to continuously improve product robustness and usability.Required Skills & Qualifications:5+ years of combined experience in software engineering and machine learning.Proven track record of deploying and maintaining machine learning/AI systems in production.Strong expertise in MLX and/or PyTorch.Experience debugging complex systems involving data pipelines, model inference, and hardware interaction.Exceptional communication skills; able to challenge vague requirements and turn them into actionable plans.Comfortable working in dynamic environments with high customer exposure.Preferred Qualifications:Experience deploying models on edge devices or consumer hardware.Familiarity with distributed systems, DevOps tooling, and performance tuning.Prior experience in a customer-facing engineering role.Knowledge of privacy-preserving AI and secure compute environments.Master’s degree in a relevant technical discipline. 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.401k Match$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFree parking, for in-office employeesUnlimited Approved 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, 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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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Ship state of the art models to production.Design and implement novel research ideas.Build elegant training/deployment pipelines.Join us at a pivotal moment, shape what we build and wear multiple hats as an intern! Our recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and to advance your application to the next stagePlease Note: To be eligible for this position you should be a student currently enrolled in a post-secondary program, available for a full-time 3-6 month internship, co-op, or research work term.As a Machine Learning Intern, you will:Design, train and improve upon cutting-edge models.Help us develop new techniques to train and serve models safer, better, and faster.Train extremely large-scale models on massive datasets.Explore continual and active learning strategies for streaming data.Learn from experienced senior machine learning technical staff.Work closely with product teams to develop solutions.You may be a good fit if you have:Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.Experience using large-scale distributed training strategies.Familiarity with autoregressive sequence models, such as Transformers.Strong communication and problem-solving skills.A demonstrated passion for applied NLP models and products.Bonus: experience writing kernels for GPUs using CUDA.Bonus: experience training on TPUs.Bonus: papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you. We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Our Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Free daily lunch 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and coworking stipends✈️ Paid vacationIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).About the Role:We’re looking for an experienced engineer to take ownership of LLM training operations across our applied research team. Your focus will be on making large-scale GPU training run reliably, efficiently, and fast on a dedicated mid-size GPU cluster and possibly on cloud platforms as well.You’ll work closely with researchers and ML engineers developing new models and agentic systems, ensuring their experiments scale smoothly across multi-node GPU clusters. From debugging NCCL deadlocks to optimizing FSDP configs, you’ll be the go-to person for training infrastructure and performance.What You’ll Do:Own the training pipeline for large-scale LLM fine-tuning and post-training workflowsConfigure, launch, monitor, and debug multi-node distributed training jobs using FSDP, DeepSpeed, or custom wrappersContribute to upstream and internal forks of training frameworks like TorchTune, TRL, and Hugging Face TransformersTune training parameters, memory footprints, and sharding strategies for optimal throughputWork closely with infra and systems teams to maintain the health and utilization of our GPU clusters (e.g., Infiniband, NCCL, Slurm, Kubernetes)Implement features or fixes to unblock novel use cases in our LLM training stack About you:3+ years working with large-scale ML systems or training pipelinesDeep familiarity with PyTorch, especially distributed training via FSDP, DeepSpeed, or DDPComfortable navigating training libraries like TorchTune, Accelerate, or Trainer APIsPractical experience with multi-node GPU training, including profiling, debugging, and optimizing jobsUnderstanding of low-level components like NCCL, Infiniband, CUDA memory, and model partitioning strategiesYou enjoy bridging research and engineering—making messy ideas actually run on hardware Nice to Have:Experience maintaining Slurm, Ray, or Kubernetes clustersPast contributions to open-source ML training frameworksExposure to model scaling laws, checkpointing formats (e.g., HF sharded safetensors vs. distcp), or mixed precision trainingFamiliarity with on-policy reinforcement learning setups with inference (policy rollouts) as part of the training loop, such as GRPO, PPO, or A2CExperience working at a startup Interview process:Initial screening - Head of Talent (30 mins)Hiring manager interview - Head of AI (45 mins)Technical Interview - AI Chief Scientist and/or Head of AI (45 mins)Culture fit / Q&A (maybe in person) - with co-founder & CEO (45 mins)

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Captions is the leading AI video company—our mission is to empower anyone, anywhere to tell their stories through video. Over 10 million creators and businesses have used Captions to simplify video creation with truly novel and groundbreaking AI capabilities.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 TechnologyMirage Announcement our proprietary omni-modal foundation modelSeeing Voices (technical paper) generating A-roll video from audio with MirageMirage Studio for generating expressive videos at scale"Captions: For Talking Videos” available in the iOS app storePress CoverageLenny’s Podcast: Interview with Gaurav Misra (CEO)Latest Fundraise: Series C AnnouncementThe Information: 50 Most Promising StartupsFast Company: Next Big Things in TechBusiness Insider: 34 most promising AI startupsTIME: The Best Inventions of 2024Our 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 RoleCaptions is seeking an exceptional Member of Technical Staff to advance the state‑of‑the‑art in large‑scale image generation models. You’ll conduct novel research on generative image models for people and storytelling, developing new training techniques and scaling models to billions of parameters and millions of users. As a key member of our AI team, you’ll work at the cutting edge of image generation systems that enable natural, expressive, and high‑fidelity outputs.Our team has strong expertise in training large‑scale models with demonstrated research and product impact (see our recent whitepaper here for details of recent work). We’re especially excited to push the use of image synthesis for multimodal video generation, with a focus on photorealistic quality, professional-grade expressivity, and creative iteration. Our models power tools used by millions of creators, and we’re tackling fundamental challenges in how to generate compelling composition, lighting, and fine‑grained detail across diverse domains.Key ResponsibilitiesResearch & Architecture DevelopmentDesign and implement large‑scale image generation models (transformers, latent diffusion, flow matching, etc.).Develop new approaches to multimodal conditioning and generation (e.g. audio and video) and controllability (editing, multi-frame consistency, script guidance, etc).Research advanced image‑editing and -generation techniques such as content‑preserving edits, multi‑input conditioning, and reference‑based generation.Establish and validate scaling laws for image diffusion models across resolution and parameter count.Develop automated evaluation approaches for improved fidelity and consistency.Drive rapid experimentation with model architectures, sampling strategies, and training strategies.Validate research directly through product deployment and real user feedback.Derive insights from data and recommend architectures and training practices that will make meaningful impacts on our products.Model Training & OptimizationTrain and optimize models at massive scale (10s–100s of billions of parameters) across multi‑node GPU clusters.Push the boundaries of efficiency and hardware utilization for training and deploying models in a cost effective manner.Develop sophisticated distributed training approaches using FSDP, DeepSpeed, Megatron‑LM, Triton and custom CUDA kernels where needed.Design and implement model‑compression techniques (pruning, distillation, quantization, etc.) for efficient serving.Create new approaches to memory optimization, gradient checkpointing, and mixed‑precision training.Research techniques for improving sampling speed (DDIM, PFGM++, SDE‑VE) and training stability at scale.Conduct systematic empirical studies to benchmark architecture and optimization choices.Preferred QualificationsResearch ExperienceMaster’s or PhD in Computer Science, Machine Learning, or a related field or equivalent practical experience.Demonstrated experience implementing and improving state‑of‑the‑art generative image models.Deep expertise in generative modeling approaches (flow matching / diffusion, autoregressive models, VAEs, GANs, etc.).Strong background in optimization techniques, sampling, and loss‑function design.Experience with empirical scaling studies and systematic architecture research.Track record of research contributions at top ML conferences (NeurIPS, CVPR, ICCV, ICML, ICLR).Technical ExpertiseStrong proficiency in modern deep‑learning tooling (PyTorch, CUDA, Triton, FSDP, etc.).Experience training image diffusion models with billions of parameters.Familiarity with large language models or multimodal transformers is a plus.Deep understanding of attention, transformers, latent representations, and modern image‑text alignment techniques.Expertise in distributed training systems, model parallelism, and high‑throughput inference.Proven ability to implement and improve complex model architectures end to end.Engineering CapabilitiesAbility to write clean, modular research code that scales from prototype to production.Strong software‑engineering practices including testing, code review, and CI/CD.Experience with rapid prototyping and experimental design under tight iteration loops.Strong analytical skills for debugging model behavior, numerical stability, and performance bottlenecks.Familiarity with profiling and optimization tools (Nsight, TensorBoard, PyTorch Profiler, etc.).Track record of bringing research ideas to production and maintaining high code quality in a research environment.About the TeamYou’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 ValuesOpen technical discussions and collaborationRapid iteration and practical solutionsDeep technical expertise and continuous learningDirect impact on research and product outcomesWhat Sets Us ApartOpportunity to advance the state‑of‑the‑art in multimodal 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! Doordash DashPass 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.

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We are seeking for a Python-AI Engineer to join our client's dynamic team. The ideal candidate will have experience in startups, preferably American, and a proven track record in the e-commerce sector. Key Responsibilities:- Integrate third-party APIs seamlessly into existing systems.- Collaborate with cross-functional teams to understand integration requirements.- Work with AI tools and technologies to improve system performance and functionality.- Maintain and optimize code for performance and scalability.- Assist in troubleshooting, debugging, and upgrading software systems.- Document and maintain software functionality. Requirements:- Strong proficiency in Python programming.- Proven experience in integrating APIs.- Exposure to AI tools and technologies.- Ability to work collaboratively in a team-oriented environment.- Excellent problem-solving skills and attention to detail.- Strong verbal and written communication skills.- E-commerce experience is a plus About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Overview:You will join our product team in a position that sits at the intersection of artificial intelligence research and real-world solutions. We foster a highly collaborative work culture where you can expect to work closely with your teammates and have a high level of communication between teams through methodologies such as pair or mob programming. Your responsibilities:Model Inference: Focus on inference optimization to ensure rapid response times and efficient resource utilization during real-time model interactions.  Hardware Optimization: Run models on various hardware platforms, from high-performance GPUs to edge devices, ensuring optimal compatibility and performance.  Experimentation and Testing: Regularly run experiments, analyze outcomes, and refine the strategies to achieve peak performance in varying deployment scenarios.  Staying up to date with the current literature on MLSys  Your profile:You care about making something people want. You want to ship something that will bring value to our users. You want to deliver AI solutions end-to-end and not finish building a prototype.  Bachelor's degree or higher in computer science or a related field. You understand how multimodal transformers work. You understand the characteristics of LLM inference (KV caching, flash attention, and model parallelization). You have hands-on experience with large language models or other complex AI architectures. You have experience in system design and optimization, particularly within AI or deep learning contexts. You are proficient in Python and have deep understanding of deep learning frameworks such as PyTorch. A deep understanding of the challenges associated with scaling AI models for large user bases.   Nice if you have:  Previous experience in a high-growth tech environment or a role focused on scaling AI solutions. Expertise with CUDA and Triton programming and GPU optimization for neural network inference. Experience with Rust.  Experience in adapting AI models to suit a range of hardware, including different accelerators. Experience in model quantization, pruning, and other neural network optimization methodologies. A track record of contributions to open-source projects (please provide links). Some Twitter presence discussing ML Sys topics. What you can expect from us:Become 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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About the company Our client is revolutionizing legal technology with AI-driven tools that enhance efficiency and accessibility for legal professionals. They're undertaking high-impact technology transformation, partnering with a high-volume immigration law firm to optimize workflows and streamline processes. Role OverviewAs an AI Engineer, you will be at the forefront of integrating AI capabilities into their legal technology platform. You'll design and implement AI systems that enhance platform's ability to process legal documents, automate workflows, and provide intelligent assistance to legal professionals. Working with cutting-edge language models and AI frameworks, you'll help shape the future of legal technology while ensuring reliability, scalability, and ethical AI implementation.Key ResponsibilitiesAI System Development: Design and implement AI systems that leverage large language models for legal document processing and analysisPrompt Engineering: Develop and optimize prompts for effective model interactions in legal contextsModel Fine-tuning: Fine-tune and adapt models for specialized legal tasks and workflowsEvaluation Framework: Create robust testing and evaluation frameworks to ensure AI system reliability and accuracyIntegration: Work closely with backend teams to integrate AI capabilities into our existing infrastructureResearch & Innovation: Stay current with AI advancements and identify opportunities for applying new technologiesTechnical ProficiencyAI/ML Experience: Strong background in machine learning, natural language processing, and large language modelsProgramming: Proficiency in Python and popular AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)Backend Integration: Experience with RESTful APIs, microservices, and cloud platforms (AWS, GCP, Azure)Data Management: Expertise in handling large datasets and optimizing model performanceMLOps: Experience with ML model deployment, monitoring, and maintenance in production environmentsQualificationsExperience: 4-6 years of experience in AI/ML engineering, with demonstrated success in deploying production AI systemsTechnical Expertise: Strong foundation in machine learning, deep learning, and natural language processingProblem-Solving: Ability to tackle complex AI implementation challenges and optimize system performanceCommunication: Excellent ability to explain technical concepts to both technical and non-technical stakeholdersPerks and BenefitsRemote-First Work Environment: Enjoy the flexibility to work from anywhere, with a remote-first setup that supports work-life balance and productivity.Competitive Salary: We offer a competitive salary to recognize and reward your skills and contributions.Unlimited Paid Time Off: Take the time you need with an unlimited PTO policy, empowering you to recharge and maintain balance.Professional Development: Access resources for growth, including conference passes, online courses, and training programs to support your career advancement.Home Office Stipend: We provide a budget for setting up your home office with high-quality equipment and tools.Latest Tech Gear: Receive a top-of-the-line laptop and any necessary peripherals to ensure you have the best tools to do your best work.Team Retreats and Virtual Events: Participate in team-building retreats and regular virtual gatherings to connect with colleagues and strengthen our culture.Parental Leave: We offer paid parental leave to support you and your family during this important time.The Selection ProcessSilver Recruiter ScreenSilver Technical ScreenCTO Interview

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Applied AI Engineer (In-Person, San Francisco)About UsDelve is building an AI-native platform that transforms compliance from tedious, manual work into effortless, automated workflows.We’re the fastest growing compliance company on the market. Delve helps 100s of companies save 100s of hours (e.g. Lovable, 11x, WisprFlow) by eliminating compliance busywork and helping them focus on what matters — securely supporting their customers.Our team is a tight-knit group of builders—former founders, operators, and engineers—obsessed with solving real problems for real customers. We come from Stanford, MIT, Berkeley, OpenAI, and international olympiads. Backed by Insight Partners, General Catalyst, Y Combinator, and top-tier investors, we just raised our 32M Series A and are scaling quickly!One step at a time, we’re on a mission to eliminate busywork for humanity.Role OverviewAs an Applied AI Engineer, you will play a pivotal role in bringing the latest AI research into production. In this role, your focus will be on turning state-of-the-art techniques into tangible products. You’ll collaborate closely with product engineers to design, implement, and deploy AI-driven features end-to-end. This is a high-impact role where you’ll own projects from idea to production, and your contributions will directly shape our product and technical trajectory.You will collaborate with a world-class team of engineers with research background to build innovative, scalable systems. As part of our fast-paced startup, you’ll have the opportunity to influence technical direction, contribute ideas across the stack, and rapidly grow into taking more leadership as we scale. We value first-principles thinking and a get-things-done attitude – you will have broad autonomy to experiment and iterate in pursuit of the best solutions.What you will doDrive AI Innovation: Research, prototype, and build cutting-edge product, and customer facing AI Systems, pushing the state-of-the-art to solve our core technical challenges. End-to-End Development: Design, implement, and deploy AI pipelines and systems—from evaluation design and benchmarking through product integration—ensuring high performance, reliable production observability, and end-to-end safety and transparency. Collaborate & Iterate: Collaborate with backend engineers and product engineers to turn cutting-edge ideas into production-ready solutions—rapidly iterating on experiment data and user feedback, and applying a rigorous scientific approach to refine models and algorithms. Technical Leadership: Contribute to technical decision-making and architectural discussions for AI components. Uphold high engineering standards and share best practices in code reviews and design discussions. Continuous Learning: Stay up-to-date with the latest research and developments in AI. Evaluate new approaches or tools, and drive their adoption when they can advance our capabilities. What we are looking forStrong AI Fundamentals: Deep understanding of Test Time Compute Techniques, Deep Learning Frameworks, Unsupervised Scaling Methods, and Autonomous Data Collection Methods. Proven Technical Excellence: Demonstrated ability to build and deploy AI solutions. This could be anything ether industry experience or exceptional project/research work (publications, open-source contributions, competition wins, etc.) – we care about quality of experience over quantity. Programming Skills: Preferably extensive Python experience. Problem-Solving & Math: Outstanding problem-solving skills, with a creative and analytical mindset. Strong foundation in mathematics (linear algebra, calculus, probability) and comfort with reading research papers when needed. Communication & Collaboration: Excellent communication skills. You can clearly articulate complex technical concepts to team members and actively listen and incorporate feedback. You work well in a team, value open discussion, and thrive in a fast-moving, meritocratic environment where everyone is encouraged to voice ideas and concerns. Why In-Person SF MattersYou’ll work shoulder-to-shoulder with an exceptional team:Ex-Stanford, MIT, and Berkeley engineers with dozens of papersInternational Olympiad winners and medalistsEx-OpenAI engineers with 10+ years of domain expertise for mentorshipEx-Google Deepmind engineersFormer founders who’ve closed $500k in revenue at 19 and hired 40+ peopleDecisions happen live, not in backlogged async threadsA players work with A players. There’s a buzzing energy in the office. Hit the whiteboard with anyone here and you’ll understand why.Why Join UsImpact & Ownership: As an early employee, you’ll have a massive impact on our product and culture. You will own significant projects from day one and see your work directly affect the company’s success. Learning & Growth: Work alongside some of the brightest minds in AI and software engineering. Our team’s pedigree and our culture of continuous improvement will accelerate your personal and professional growth. We challenge each other to grow every day and support learning in areas you’re passionate about. Meritocratic Culture: We reward results and initiative. Hard work and innovation are recognized – high performers can expect rapid advancement in responsibility and role. You’ll have the chance to shape your role and even define new ones as the company scales. Competitive Compensation: We offer a compelling salary, meaningful equity, and benefits. You’ll share in the upside of the company’s success. Cutting-Edge Work: You’ll be tackling unsolved problems and using the latest techniques in AI. If you love building bold, novel solutions instead of following the status quo, you’ll fit right in. Mission-Driven Team: Join a team that is passionate, driven, and believes in the positive impact of technology. We’re in this to build something that matters. Benefits100% medical, dental & vision coverage (for you; partial for dependents)401k with employer matchUnlimited PTO + federal holidaysGrubHub stipend + all meals covered in-officeGym membership coveredFrequent team dinners, events, and off-sitesThe opportunity to eliminate busywork for humanity

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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  We are seeking experienced Machine Learning Engineers to join our team and tackle unique machine learning challenges to advance medicine and improve patient care. The Machine Learning Engineer will work closely with teams across biomedical data science, product development, translational research MLOps and platform engineering to develop and deploy the machine learning models for our AI products and services. What You’ll Do Independently lead the planning and execution of machine learning model development for research and product development projects with ML best practices Contributes towards internal product and translational research experiment design, ideation, analysis, documentation and experimental plans Understands product requirements in their biological and clinical context and proposes changes to model design, product requirements, or analysis plan to ensure market fit Demonstrates mastery of established and state-of-the-art ML methods and upholds ML Team’s best practices for ML research and product development Engaged within team governance of standards via supporting initiatives (e.g. Guild of TLs, ML  Stewards, WiML, Journal Club, Maintaining and creation of documentation) Identify technical gaps, propose and  initiate new projects by articulating rationale and experimental plans that translate technical improvements into business impact Actively participate in and propose improvements to team processes and supporting initiatives, including but not limited to: project processes, technical design reviews, knowledge sharing, hiring and onboarding. Actively support scientific strategy with  abstract submissions to conferences, manuscript preparation, and creation of marketing and other materials for external audiences You will have the opportunity to work in a company where all employees put patients first. We believe that every team member provides valuable contributions to our success, and no task is too small for anyone if it's important to our company goals.   Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative AI tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside and with leading innovators in the field of AI and medicine and you will play a critical role in product development to impact patient outcomes. What You Bring To be successful in this role with us, you'll at least need: Master’s degree plus 3-4 years of professional experience or Ph. D. in Computer Science, Computational Biology or related field, preferably with a focus on artificial intelligence and machine learning 3-4 years of experience in developing and deploying state-of-the art machine learning models in products Excellent proficiency in Deep Learning frameworks (Pytorch/Tensorflow), Python (including Scipy, Numpy, Pandas) and software engineering skills. Strong analytical and quantitative skills Strong track record with the overall machine learning and computer vision model development process including data pipelines, model training, evaluation and deployment. Publications or research in fields related to artificial intelligence and biomedical science is strongly preferred Strong communication skills. Intellectual curiosity and the ability to learn quickly in a complex space 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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n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation. We give technical teams the flexibility of code with the speed of no-code, backed by a passionate community of builders. With 500+ integrations and fair-code principles, we're revolutionizing how businesses connect their systems and processes. We were founded end of 2019 and currently: 🧑‍🤝‍🧑 We’re a diverse team of + 100 talented people 🚀 Our annual recurring revenue is growing 6x year-over-year ⭐️ With +100k GitHub stars, we are in the top 100 most popular projects of all time on Github 🍾 We’re Europe’s 25th fastest growing startup in 2024 according to Sifted 🌱 We were Sequoia's first seed investment in Germany, and most recently secured our $60M Series B (February '25, led by Highland)As a Senior AI Engineer, you'll drive intelligent features that redefine how users build automations. You'll build AI-powered capabilities, from natural language input to smart suggestions, that make creating workflows faster and more intuitive.You'll collaborate across engineering, product, and design to bring generative AI and LLM-based enhancements into the core user experience. You'll improve existing AI integrations, develop new ones, and shape how AI powers our product.You’ll work across the entire AI feature lifecycle:Architect and implement AI-powered capabilities: code generation, intelligent node creation, and workflow optimizationIntegrate LLM APIs and embedding models for text-to-workflow and natural language code suggestionsDesign and iterate on prompts to improve model output and user experienceBuild internal tooling, evaluation benchmarks, and automated testing for AI componentsCollaborate closely with other engineers to ensure AI features are reliable, performant, and scalableBalance experimentation with impact: ship quickly while focusing on user valueStay current with advances in LLMs, prompt frameworks, and developer tools - and bring those insights into our roadmapRequirementsStrong backend development skills with TypeScript, Node.js, and API design5+ years of experience building web-based products, ideally in B2B SaaS startupsProven track record shipping AI-powered features in production with LLM APIs (OpenAI, Anthropic, etc.) and understanding of how to translate machine intelligence into user valueHands-on experience with prompt engineering, embedding models, and vector storesA user-focused mindset: you care about delivering features that solve real problemsA bias for shipping and learning - fast iteration is second nature to youBonus Points ForExperience fine-tuning LLMs or working with retrieval-augmented generation (RAG) systemsFrontend experience using Vue or ReactTechnical writing or documentation contributions, especially around developer tools or AIn8n 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.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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We are looking for Investment Banking professionals to join an exciting collaboration with a top AI research . This role involves contributing to the development and evaluation of advanced AI systems designed to mimic real-world investment banking workflows. You'll help train, test, and calibrate AI agents on complex financial tasks related to M&A, IPOs, debt offerings, equity research, and pitchbook development. Key Responsibilities:- Evaluate financial outputs produced by AI systems for quality and accuracy.- Calibrate AI decision-making processes in areas such as valuation or financial modeling.- Simulate and audit workflows related to pitch decks, comps analysis, and due diligence.- Provide domain-specific feedback on AI-generated investment documents.-Collaborate asynchronously with product and AI teams to enhance system performance. Ideal Qualifications:- 2+ years of experience in Investment Banking, ideally at top-tier firms such as Goldman Sachs, JPMorgan, or -similar institutions.- Bachelor’s degree in Finance, Economics, Accounting, Business Administration, or a related field.- Strong proficiency in financial modeling, including DCF/LBO/Comps analysis, and valuation methods.- Familiarity with capital markets, M&A deal cycles, and transaction processes.- Excellent analytical, writing, and presentation skills. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking experienced Architectural Engineers to collaborate with AI research. In this role, you will leverage your expertise in building systems, construction engineering, energy modeling, and structural integration to train advanced AI models, helping them reason like true experts in architecture-engineering collaboration. You will work closely with AI teams to ensure models can accurately evaluate, design, and coordinate real-world building systems, adhering to industry standards. Qualifications:- +5 years of experience in design, construction, or building systems engineering.- Hold a degree in Architectural Engineering, Building Science, or a related discipline.- Are proficient with tools such as AutoCAD MEP, Revit/BIM 360, etc.- Possess strong verbal and written communication skills.- Exhibit strong attention to detail. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking experts in drug discovery to contribute to the development of intelligent systems capable of navigating the complexities of pharmaceutical R&D. This role offers the opportunity to apply your expertise in medicinal chemistry, molecular biology, pharmacology, or computational modeling to shape how AI supports scientific innovation in healthcare. You will work closely with AI teams to train models on drug development workflows, covering stages from target validation and compound screening to lead optimization, ADME/Tox prediction, and regulatory insight. Qualifications:- +5 years of experience in pharmaceutical R&D, biotechnology, or academic drug discovery.- Hold a PhD in Medicinal Chemistry, Pharmacology, Biochemistry, Molecular Biology, or a related field - Possess strong working knowledge of tools and methodologies such as QSAR Analysis, Molecular Docking, Hit Identification, SBDD, LBDD, etc.- Have excellent written and verbal communication skills. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.