Computational Pathology Scientist LancesoftComputational Pathology ScientistSouth San Francisco, CA$67Within this group, the Digital Pathology team focuses on revolutionizing the analysis of digital histopathology slides by leveraging computational methods to enhance pathological evaluations traditionally performed solely by humans. The role requires close collaboration with pathologists to design and execute image analysis workflows tailored to biological questions, as well as working with computational and data scientists across various departments.
Senior Research Scientist EliseAISenior Research ScientistSan Francisco, California$200,000–$320,000 / yearWe are looking for candidates with outstanding mathematical and quantitative skills, robust programming expertise, and exceptional academic credentials—including but not limited to mathematicians, theoretical physicists, and computer scientists—who are passionate about applying their knowledge to solve real-world challenges. You will be working on cutting-edge questions in machine learning and large language models, develop predictive models to enhance our AI capabilities, build controlled systematic analysis of large data, and more.
NewSenior Power Methodology And Modeling Engineer NvidiaSenior Power Methodology And Modeling EngineerSanta Clara, CAAs a member of the Architecture Energy Modeling Team, you will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. What you'll be doing: Define and implement tools and methodologies for efficient data generation from post layout netlists to feed into data movement power analytical model.
Principal Ai/Ml Engineer - Adtech Zeta GlobalPrincipal Ai/Ml Engineer - AdtechSan Francisco, CA$300,000–$400,000 / yearTechnical Strategy: Define the technical roadmap and vision for AI/ML in our platform, evaluating new tools and techniques (including the latest in deep learning and LLMs) and making strategic build-vs-buy decisions. Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently.
Principal AI/ML Engineer - AdTech Zeta GlobalPrincipal AI/ML Engineer - AdTechSan Francisco, CA$300,000–$400,000 / yearTechnical Strategy: Define the technical roadmap and vision for AI/ML in our platform, evaluating new tools and techniques (including the latest in deep learning and LLMs) and making strategic build-vs-buy decisions. Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently.
Senior Applied Ai/Ml Scientist - Retailer FaireSenior Applied Ai/Ml Scientist - RetailerSan Francisco, CA$211,000–$290,500 / yearOur highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions. You'll also contribute to growing Faire's retailer base by enhancing Search Engine Optimization, personalizing landing pages for new retailers, and predicting retailer lifetime value.
NewStaff Research Scientist VisaStaff Research ScientistFoster City, CA$169,100–$270,800 / yearWe engage with the company's numerous technology and product teams, world-wide business partners, academics, and governments, to explore and develop technologies that will shape the future of the payments industry and impact the lives of billions of people. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
Senior/Staff Software Engineer - Machine Learning Platform (Inference) SnowflakeSenior/Staff Software Engineer - Machine Learning Platform (Inference)Menlo Park, CaliforniaWe are looking for outstanding technical leaders who will join our ML Platform team to build the next-generation platform and play a pivotal role in this journey by understanding Snowflake’s core platform architecture and evolving it to enable state-of-the-art machine learning and LLM workloads. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
Drone Pilot for AI Training and Data Collection TSMGDrone Pilot for AI Training and Data CollectionSan Francisco, CAKey Responsibilities: Pilot drones equipped with high-resolution cameras, LiDAR, thermal imaging, and other sensors to collect diverse datasets used for training AI algorithms, particularly for autonomous navigation, computer vision, and sensor fusion. As a Drone Pilot for AI & Autonomous Systems Training, you will operate advanced drones to capture data essential for training and validating AI models that power autonomous navigation, object detection, and decision-making systems.
Research Engineer, Post-Training Inference Together AIResearch Engineer, Post-Training InferenceSan Francisco, CA$200,000–$290,000 / yearWorking across the training and inference stacks, you will build and improve our Fine-Tuning, Reinforcement Learning, and Evaluation services - from ensuring a seamless path from post-training to production serving, to optimizing the inference engine for RL training workloads. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models.
Machine Learning Engineer, Assistant Quality Glean Technologies, Inc.Machine Learning Engineer, Assistant QualitySan Francisco, CA$180,000–$205,000 / yearThis role sits at the intersection of production machine learning, LLM-powered systems, and product engineering, with a focus on building, evaluating, and iterating on assistant experiences that are useful, reliable, and grounded in real enterprise workflows. The ideal person is excited by shipping production systems, not pure research, and wants to help shape how Glean's assistant gets better over time through stronger signals, tighter feedback loops, and better end-to-end execution quality.
Senior AI Engineer - Machine Learning (US) Gauss LabsSenior AI Engineer - Machine Learning (US)Palo Alto, CAYou will develop AI software by working with seasoned Applied Scientists, Software Engineers, and Program Managers located in Palo Alto, California, USA, and Seoul, South Korea. 3+ years building production-ready ML infrastructure including data pipelines, training/inference workflows, and deployment automation.
Software Engineer (Python / C++) — ML Platform & Production Integration Velo3DSoftware Engineer (Python / C++) — ML Platform & Production IntegrationFremont, CaliforniaYour primary focus will be production software: translating validated Python prototypes into high-performance C++ implementations, integrating algorithms into the printer software stack, developing robust testing and validation frameworks, and building the infrastructure needed to support reliable and efficient machine learning workflows. The VELO3D award-winning solution includes an integrated offering of hardware and software: Sapphire® metal AM production printer, Flow print preparation software, Assure quality assurance and control system, and an integrated manufacturing process that runs throughout the printing operation.
Robotics Engineer (Simulation, Hardware & Deployment) MetamorphicRobotics Engineer (Simulation, Hardware & Deployment)Palo Alto, CaliforniaYou will own the end-to-end loop that takes a policy from simulation onto physical hardware and back again: integrating and maintaining physics simulators, building and operating teleoperation rigs for demonstration collection, bringing up and maintaining real robot platforms, and ensuring our software stack, drivers, calibration pipelines, and data recording infrastructure are reliable enough for both rapid iteration and reproducible experiments. Working knowledge of the ROS/ROS 2 stack, including writing and debugging nodes, working with TF, message types, launch files, and integrating sensors (RGB-D cameras, force/torque sensors, IMUs).
NewMachine Learning Engineer, AI Inference Solutions (University Grad) General MotorsMachine Learning Engineer, AI Inference Solutions (University Grad)Sunnyvale, CA$119,250–$150,850 / yearGeneral Motors is a global leader in advanced driver assistance, with Super Cruise hands-free technology in more than 500,000 equipped vehicles on the road and over 700 million hands-free miles driven-demonstrating that automation can be trusted, intuitive, and helpful while reaching everyday drivers at unprecedented scale. Within GM AV, the Model Deployment & Inference Solutions team deploys machine learning models from training frameworks (e.g., PyTorch) onto autonomous-vehicle hardware; our two-fold mission is to build the ML deployment platform that makes model rollouts fast and predictable, and to optimize models so they meet the real-time latency and memory budgets required to run on-vehicle.
NewPrincipal - Business Consulting Infosys LTDPrincipal - Business ConsultingSan Jose, CA$154,375–$193,125 / yearThe applicant should have deep, hands-on experience architecting, designing, and implementing enterprise-grade AI, Machine Learning, and Generative AI solutions, and experience leading technical teams delivering complex AI and automation engagements across industries. Applicants should have some of the following experience: Experience architecting and implementing AI/ML solutions across multiple domains, including: Generative AI and Large Language Model (LLM) based solutions.
Software Engineer (Early Career) Uare.aiSoftware Engineer (Early Career)Los Altos, California$100,000–$150,000 / yearWe are seeking a highly skilled Machine Learning Engineer to join an early-stage, mission-driven startup that’s building cutting-edge AI-powered products for real-world human interaction. At its core is the proprietary Human Life Model (HLM), designed to process unstructured conversations and story data sets without training client data into traditional LLMs.
Technical Product Manager, 3D Geospatial Products Array LabsTechnical Product Manager, 3D Geospatial ProductsRedwood City, Washington$150,000–$250,000 / yearYou will work closely with software engineering, algorithms, mission operations, program management, business development, and the executive team to ensure Array builds the right products, sequences them intelligently, and delivers them with the quality, reliability, and usability required for commercial and government adoption. ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
INS/ Principal - AI Architect (West Coast) Infosys LtdINS/ Principal - AI Architect (West Coast)San Francisco, CA$154,375–$193,125 / year152355BRArizona, California, WashingtonUSAInfosys Limited Principal - Business ConsultingITL USA Bellevue, WA, Phoenix, AZ, San Diego, CA, San Francisco, CA, San Jose, CAInsuranceProcess|Consulting processes|Technology Consulting process Principal - AI Architect - Insurance154375193125. The applicant should have deep, hands-on experience architecting, designing, and implementing enterprise-grade AI, Machine Learning, and Generative AI solutions, and experience leading technical teams delivering complex AI and automation engagements across industries.
ML Research Scientist (MLRS) - Representation Learning for Molecular AI AchiraML Research Scientist (MLRS) - Representation Learning for Molecular AISan Francisco, CaliforniaYou’ll work at the intersection of model architecture, data, and training strategy to find new points on the Pareto frontier of representational richness, robustness, accuracy, and speed for microscale world models. Develop expressive representations of molecular and atomistic structure and dynamics, including equivariant graph neural networks, geometric transformers, and latent encoders that capture physical symmetries and constraints.