Head of Robot Learning Anvil RoboticsHead of Robot LearningSan Francisco, CaliforniaA typical req for a "Head of Robot Learning" would ask for a PhD plus 5–8 years; we're looking for 2–4 unusually fast-growing years — or 1–2 on a steep curve — spent as the research engineer beside a strong robot learning lead: the person who made the lab's or team's work actually run on hardware, closed a growing share of the hard problems personally, but never owned the direction because someone above them did. The data flywheel: DAgger / human-in-the-loop correction workflows on our teleop stack, so policies improve from intervention data instead of plateauing after the first training run — and, as your protocols mature, scaling collection beyond yourself: designing what dedicated data-collection operators record in our factory and, over time, in partner facilities.
Forward Deployed Engineer (Training) BasetenForward Deployed Engineer (Training)San Francisco, CaliforniaForward Deployed Engineers work directly with the largest and fastest-growing AI companies in the world, owning their technical outcomes on Baseten and taking on the hardest problems in serving and improving models at scale. We don't expect any one person to cover all of this - the strongest candidates may spike in one or two of the following: Depth in a core infrastructure domain such as storage systems or networking (anywhere from the cloud layer to cluster interconnects like InfiniBand and RoCE).
Machine Learning Engineer RADARMachine Learning EngineerSunnyvale, CA$195,000–$264,000 / yearResponsibilities: Build and scale ML infrastructure: Design and maintain scalable, reliable and efficient production pipelines for feature engineering, training, prediction and model serving using tools including Airflow, Big Query and Kubeflow. Drive model performance: Train, validate and deploy high-quality ML models, applying advanced techniques in feature selection, hyperparameter tuning and model architecture choices to improve the accuracy of our products.
Principal Software Engineer, Machine Learning Infrastructure SnapPrincipal Software Engineer, Machine Learning InfrastructurePalo Alto, California$276,000–$414,000 / year10+ years of post-Bachelor’s software development experience; or a Master’s degree in a technical field + 9+ year of post-grad software development experience; or a PhD in a related technical field + 6+ years of post-grad software development experience. The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services.
Last Minute Ai-Machine Learning Summer Internship (Gen AI - Multimodal) EluvioLast Minute Ai-Machine Learning Summer Internship (Gen AI - Multimodal)Berkeley, CAThis position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions. Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video.
Machine Learning Scientist III - Whole Trip AI ExpediaMachine Learning Scientist III - Whole Trip AISan Jose, Washington$137,500–$192,500 / yearDemonstrated ability to translate problem statements into well-defined ML tasks, design appropriate model and data structures (including APIs and data models), and own solutions within a defined product, service, or feature area, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products with attention to safety and reliability. Collaborate with cross-functional partners (product, analytics, engineering) to translate ambiguous business needs into well-scoped ML projects, communicate findings, and influence decision making with data-driven insights.
Senior Software Engineer, World Model Systems Engineering - Autonomous Vehicles NvidiaSenior Software Engineer, World Model Systems Engineering - Autonomous VehiclesSanta Clara, CAYou will participate in a focused effort to productize ground-breaking perception solutions that will redefine the world of transportation and the growing field of self-driving cars. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
NewResearch Engineer, Interactive World Models NvidiaResearch Engineer, Interactive World ModelsSanta Clara, CAContributions to an open-source ML project or developer platform, such as implementing model support, improving performance, building tests and benchmarks, fixing difficult issues, writing documentation, or helping users adopt the technology. Advance the production-ready world model frontier by working with researchers on few-step distillation, causal or autoregressive generation, reward fine-tuning, action conditioning, and long-horizon spatiotemporal memory and consistency.
Principal Research Engineer, Post-Training Character.AIPrincipal Research Engineer, Post-TrainingRedwood City, CaliforniaTechnical Leadership & Mentorship: Define and drive the technical roadmap for mid- and post-training systems, balancing research innovation with production reliability and scalability. You will partner closely with researchers, engineers, product teams, and infrastructure teams to identify the highest-leverage opportunities for improving model performance and user experience.
AI Cheminformatics Engineer I Frontier MedicinesAI Cheminformatics Engineer ISouth San Francisco, CA$100,000–$158,900 / yearDesign and build multi-agent systems for scientific research workflows — supervisor/sub-agent orchestration, MCPs, task decomposition, tool calling, error recovery, and human-in-the-loop checkpoints that interface with internal systems (scientific databases, compound registries). Implement and benchmark molecular representations — GNNs, equivariant architectures, learned fingerprints — and build multi-task,transfer learning, and active learning approaches that leverage proprietary data for low-data regime predictions on active programs.
AI Engineer I Frontier MedicinesAI Engineer ISouth San Francisco, CA$100,000–$158,900 / yearDesign and build multi-agent systems for scientific research workflows — supervisor/sub-agent orchestration, MCPs, task decomposition, tool calling, error recovery, and human-in-the-loop checkpoints that interface with internal systems (scientific databases, compound registries). Implement and benchmark molecular representations — GNNs, equivariant architectures, learned fingerprints — and build multi-task,transfer learning, and active learning approaches that leverage proprietary data for low-data regime predictions on active programs.
Applied AI Engineer - Vlsi Design NvidiaApplied AI Engineer - Vlsi DesignSanta Clara, CAThe successful candidate will work closely with our team of experts in VLSI design, machine learning, and software engineering to create and integrate machine learning-based solutions that enhance the efficiency, productivity, and quality of our VLSI design flows. We are looking for dedicated Software Engineers to work on developing and deploying AI agents that leverage machine learning models to solve complex problems in VLSI design.
Robotics Research Engineer - Robot Simulation And Evaluation NvidiaRobotics Research Engineer - Robot Simulation And EvaluationSanta Clara, CAIn this role, you will drive cross-team collaboration between Isaac product engineering and NVIDIA Robotics research: translating research ideas into product-ready Isaac Lab Arena capabilities, bringing product and user feedback back into the research loop, and driving adoption with research users. 8+ years of relevant industry or post-degree research engineering experience in robotics, simulation, or robot learning, with ability to translate research prototypes into product or platform capabilities.
Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) Capital OneDistinguished AI Engineer - Agentic AI Platform (Remote Eligible)San Francisco, CaliforniaRemoteFinally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
NewML Engineer SciforiumML EngineerSan Francisco, CaliforniaBacked by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications. ML Systems : Strong knowledge of generative AI systems including Large Language Models, Transformers, Reinforcement Learning, RAG, and agentic patterns such as Chain-of-Thought, Tool Use, and Multi-Agent orchestration.
Senior Software Engineer DataVisorSenior Software EngineerMountain View, CAWith an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Summary: As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms.
Software Engineer DataVisorSoftware EngineerMountain View, CAWith an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Summary: As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms.
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.
NewComputer Vision & Machine Learning, Associate Allen Control SystemsComputer Vision & Machine Learning, AssociateMountain View, CA$94,000–$154,000 / yearWe are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact.
ML Engineer Human Computer LabML EngineerSan Francisco, CaliforniaThis role is for a machine learning engineer who wants to work on the models that give LeLamp its intelligence – the systems that let the robot perceive its environment, understand what's happening around it, and respond in ways that feel natural and intentional. You'll be developing and advancing the multimodal model architectures at the core of our robot, spanning vision, language, and action, and owning that work from early research through to deployment on real hardware.