Top Machine Learning Engineer Jobs Openings in 2025

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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.

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We are seeking Manufacturing Experts - AI Trainer to collaborate with one of our clients and contribute to the development of the next generation of intelligent systems. By leveraging your extensive industrial and process knowledge, you will play a pivotal role in shaping AI models to better understand, reason about, and engage with real-world manufacturing environments. Qualifications:- +5 years of experience as a manufacturing professional in areas such as production, operations, quality, and process engineering.- Hold an undergraduate degree in Mechanical, Electrical, Industrial Engineering, or a related field from a top U.S. university.- Possess knowledge of tools, methodologies, and standards such as ERP, MES, PLM, and ISO.- Exhibit strong attention to detail.- Having 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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Who we are:  AI is the new electricity: Just as electricity transformed numerous industries starting 100 years ago, AI is now poised to do the same. AI Fund is a venture studio founded by Dr. Andrew Ng in 2017. Our portfolio companies use  AI technology to build  applications across numerous industry sectors. The AI Fund team combines their experiences as AI pioneers, entrepreneurs, venture capitalists, investors, and operators. We are backed by a $370-million dollar fund from top-tier global corporations and VC firms. Our purpose is to build AI companies that move humanity forward What We’re Looking For: For the Technical Builder role, we are seeking a Senior AI Full-Stack Engineer with a strong architecture background, fluent in full-stack development and proficient in designing scalable AI-driven systems. You should be deeply experienced in architecting complex applications, leveraging modern Generative AI frameworks, and comfortable leading the design of robust, production-grade architectures. The ideal candidate thrives in fast-paced environments where the goal is to quickly build and iterate on full-stack applications leveraging cutting-edge AI techniques, as well as guiding technical vision and defining architectural patterns. You're passionate about staying ahead of the curve in AI—constantly exploring new tools, frameworks, and best practices. You’ll collaborate closely with world-class founders, product thinkers, and engineers to bring experimental ideas to life through functional prototypes. This role puts you in the front row of where AI is heading, working with technologies that are helping shape the future. If you’re driven by curiosity, innovation, and the thrill of building what’s next—this is the role for you. What you will do: Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibilityApply GenAI building blocks (prompt engineering, graphDBs, vectorDBs, agentic frameworks, evals, and guardrails) to real-world developmentLead architecture design and technical planning for scalable AI applications, ensuring system reliability, maintainability, and performanceMake key decisions around infrastructure and platform choices, balancing short-term prototyping needs with long-term scalabilityCollaborate cross-functionally with product, design, and AI experts to create, test, and iterate on new conceptsUse AI-assisted coding tools (e.g., Cursor, Windsurf, GitHub Copilot) to enhance productivity and speed of iterationGather user feedback and iterate quickly based on insights to improve usability and effectivenessDeploy and manage applications on cloud infrastructure (e.g., AWS, GCP, Supabase)Build and integrate APIs and third-party servicesParticipate in architecture discussions and technical planningIdentify and troubleshoot issues across the stackContribute to improving development processes, tools, and team practicesStay current with industry trends and emerging technologies What you must bring: 7+ years of experience in software engineering with significant architecture responsibilities, including at least 3 years developing AI-powered applicationsDemonstrated experience building applications that incorporate Generative AIProficiency with GenAI tools and frameworks: prompt engineering, Retrieval-Augmented Generation (RAG), vector databases (e.g., Pinecone, Weaviate), agentic platforms (e.g., LangGraph, CrewAI), LLM evals, and guardrailsExperience with front-end technologies like JavaScript, HTML, CSS, and modern frameworksStrong back-end skills, particularly with PythonFamiliarity with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.)Hands-on experience using AI-assisted coding tools (e.g., Cursor, Claude Code) and understanding of best practices for effective useProven track record of architecting, implementing, and deploying scalable and maintainable AI-powered systemsExpertise in designing end-to-end system architectures involving front-end, back-end, APIs, and AI/ML componentsDeep curiosity and a fast-learning mindset—especially around emerging trends in AIAbility to write scrappy, disposable code for fast prototyping, and clean code for scalable productsStrong communication skills and ability to work collaboratively across disciplines Nice to have: Experience gathering user feedback directly and iterating based on insightsExposure to rapid prototyping methodologies and shipping MVPsInterest or experience in product design and product thinkingContributions to open-source GenAI projects or toolsFamiliarity with serverless architectures or edge computingPrior experience as a technical lead or architect on teams delivering AI-driven productsKnowledge of advanced architecture patterns (microservices, event-driven architectures, datastore design)Experience with large-scale system design and high-performance cloud infrastructuresFamiliarity with governance, compliance, and security aspects in AI application architecture

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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 Role We are seeking an experienced Machine Learning Systems Engineer to join our Encodings and Tokenization team at Anthropic. This cross-functional role will be instrumental in developing and optimizing the encodings and tokenization systems used throughout our Finetuning workflows. As a bridge between our Pretraining and Finetuning teams, you'll build critical infrastructure that directly impacts how our models learn from and interpret data. Your work will be foundational to Anthropic's research progress, enabling more efficient and effective training of our AI systems while ensuring they remain reliable, interpretable, and steerable. Responsibilities Design, develop, and maintain tokenization systems used across Pretraining and Finetuning workflows Optimize encoding techniques to improve model training efficiency and performance Collaborate closely with research teams to understand their evolving needs around data representation Build infrastructure that enables researchers to experiment with novel tokenization approaches Implement systems for monitoring and debugging tokenization-related issues in the model training pipeline Create robust testing frameworks to validate tokenization systems across diverse languages and data types Identify and address bottlenecks in data processing pipelines related to tokenization Document systems thoroughly and communicate technical decisions clearly to stakeholders across teams You May Be a Good Fit If You Have significant software engineering experience with demonstrated machine learning expertise Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Can work independently while maintaining strong collaboration with cross-functional teams Are results-oriented, with a bias towards flexibility and impact Have experience with machine learning systems, data pipelines, or ML infrastructure Are proficient in Python and familiar with modern ML development practices Have strong analytical skills and can evaluate the impact of engineering changes on research outcomes Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Care about the societal impacts of your work and are committed to developing AI responsibly Strong Candidates May Also Have Experience With Working with machine learning data processing pipelines Building or optimizing data encodings for ML applications Implementing or working with BPE, WordPiece, or other tokenization algorithms Performance optimization of ML data processing systems Multi-language tokenization challenges and solutions Research environments where engineering directly enables scientific progress Distributed systems and parallel computing for ML workflows Large language models or other transformer-based architectures (not required) Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$300,000—$405,000 USDLogistics 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.

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Your ImpactAs an AI Tutor, Computer Science Specialist, you will play a vital role in shaping how advanced AI models understand and communicate complex computing concepts. Leveraging your deep knowledge of algorithms, data structures, systems, and software engineering, you’ll evaluate and improve AI-generated content to ensure technical accuracy, conceptual clarity, and educational value. Your work will directly support the training of large language models (LLMs) used in software development, computer science education, and technical research.This is a contract remote position with variable time commitments. The services to be provided by the Contractor under this agreement are supplementary and not integral to the Handshake’s primary business operations. The Contractor’s services are distinct and separate from the core business activities of Handshake.Your RoleUse internal tools to review and refine AI-generated responses related to computer science and software engineering.Assess outputs for technical correctness, programming relevance, and clarity in areas such as algorithms, data structures, operating systems, networking, databases, and software design patterns.Curate high-quality datasets used for training and fine-tuning AI models in computing domains.Identify model blind spots, edge cases, and inconsistent or misleading explanations in computer science topics.Collaborate with cross-functional AI teams to improve content quality and knowledge alignment across technical disciplines.Your ExperiencePhD or MS in Computer Science, Software Engineering, or a closely related technical field.Alternatively, 3+ years of professional experience in software engineering, computer science research, or technical education.Strong understanding of core CS topics, including algorithms, data structures, programming paradigms, and systems fundamentals.Proficiency in at least one major programming language (e.g., Python, Java, C++, Go, Rust, JavaScript).Strong written communication skills, especially for explaining complex technical concepts clearly and concisely.Ability to critically evaluate technical content and provide detailed, constructive feedback.Comfortable working independently and navigating ambiguity in fast-evolving workflows.Bonus ExpertisePublications in peer-reviewed computer science journals or conferences.Teaching, tutoring, or curriculum development experience in computer science.Experience with competitive programming or contributions to open-source projects.Familiarity with LLMs, prompt engineering, or AI-driven educational tools.Background in human-in-the-loop feedback systems or technical annotation pipelines.Additional RequirementsAvailable to work evenings or weekends as needed.Comfortable adapting to rapidly changing workflows and AI tools.Personal device must support Windows 10 or macOS Big Sur 11.0 or later.Reliable smartphone access for secure login and multi-factor authentication.Location & Work Expectations100% RemoteNo visa sponsorship availableNot hiring in Wyoming or Illinois at this timeCompensation Range$55/hr – $100/hr We benchmark our compensation ranges against similar stage companies. Final compensation will be based on factors such as location, relevant experience, and skill alignment.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.At Harmattan AI, we design and deploy advanced AI-powered systems for defense. Our work sits at the intersection of cutting-edge technology and national security, fast-moving, high-stakes, and deeply mission-driven.We hire selectively and work with urgency, precision, and a commitment to solving problems that matter. If you're exceptional in your field and driven by building real-world impact, we want to hear from you.Even if no listed role matches your profile, we welcome proactive applications from individuals who thrive in high-responsibility environments and bring deep expertise in areas such as:Aerospace & Robotics – GNC, autonomy, flight software, mission planningEmbedded Systems & Hardware – FPGA, real-time systems, electronicsSoftware & AI – machine learning, perception, signal processingBusiness, Strategy & Operations – program execution, partnerships, international expansionWhat we’re looking forWe value individuals who:Set a high personal bar for quality and technical excellenceTake ownership and move fast under uncertaintyPush boundaries, challenge assumptions, and deliver under pressureAre motivated by complex challenges with meaningful geopolitical stakesWhat to includeA resumeA short message telling us what you’re best at, and how you think you could contribute to our missionWe review all applications thoroughly and will reach out if there’s a potential fit.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About Brain Co.Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant. We are seeking visionary AI/ML Engineers with experience in GenAI and ML modeling, where you will convert groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges. About The RoleAs an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential. In This Role, You Will:Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. You Might Thrive In This Role If You:Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.Have at least a high level familiarity with the architecture and operation of large language models.Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.Possess a strong foundation in data structures, algorithms, and software engineering principles.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOThis is a hybrid role based out of our Dubai office.

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Your impactHandshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.We're looking for a Research Engineer to join our Handshake AI Research team, where you'll help shape what the next generation of AI models can achieve. This is a hands-on, high-impact role focused on post-training methodologies, specialized domain data verification, and creating cutting-edge LLM benchmarks that measure real-world impact.As a Research Engineer, you'll bring deep technical skill, curiosity, and rigor to every stage of the research-to-deployment pipeline—whether it's designing robust distributed infrastructure for massive experiments, writing high-performance ML code, or developing benchmarks and evaluations that define the future of AI capabilities.Location: San Francisco, CAYour roleDesign and implement post-training systems and methodologies in close partnership with research scientists and domain expertsBuild and maintain infrastructure that supports large-scale model training, specialized data processing, and benchmark evaluationDevelop robust frameworks for verifying the quality and integrity of highly specialized domain datasetsCreate next-generation LLM benchmarks that push the boundaries of model evaluation and capabilities assessmentOptimize performance across software and hardware layers to accelerate post-training experimentation and deploymentCollaborate across disciplines to ensure rigorous validation of model improvements and benchmark reliabilityYour experienceStrong Python programming skills with attention to clean, efficient, and scalable codeExperience building and operating large-scale systems for model post-training, specialized data processing, or benchmark evaluationDeep familiarity with PyTorch and modern post-training techniques (RLHF, constitutional AI, etc.)A background in applied machine learning, model evaluation, or large-scale data quality assessmentExperience with benchmark design, evaluation methodologies, and performance measurement frameworksClear communication skills and a collaborative mindset for cross-functional research teamsNice to HaveExperience optimizing deep learning models for performance (e.g., memory usage, training speed)Interest in the societal and ethical impacts of AI technologiesContributions to open-source ML infrastructure or toolsWhy Join UsThis is a rare opportunity to help define how the world’s top labs build, test, and evaluate cutting-edge AI systems. You’ll be working with a uniquely high-talent team, tapping into a network of 18 million students and 500K+ PhDs, and shaping foundational infrastructure at a critical moment in the field. If you're excited to build from first principles—and want your work to directly accelerate frontier AI—we'd love to talk.What we offerAt Handshake, we'll give you the tools to feel healthy, happy and secure.Benefits below apply to US employees in full-time positions.💰 Equity and ownership in a fast-growing company.🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career.💰 Financial coaching through Origin to help you through your financial journey.🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).🥗 Free lunch provided 5x a week in office.🏋️ Free gym access in San Francisco office building.🤝 Referral bonus to reward you when you bring great talent to Handshake.🧗🏼Team outings throughout the year to stay connected to each other.🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more.Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.