Associate, Quantitative Developer, Model Portfolio Solutions (MPS), Multi-Asset Strategies & Solutions (MASS) BlackRockAssociate, Quantitative Developer, Model Portfolio Solutions (MPS), Multi-Asset Strategies & Solutions (MASS)San Francisco, CaliforniaAs a Quantitative Developer on the Model Portfolio Solutions team, you will sit at the heart of BlackRock's innovation engine for quantitatively driven investing—designing, building, and scaling the signal implementations and analytical tools that researchers and portfolio managers rely on every day. You will translate cutting-edge quantitative research into production-grade signals, pioneer the integration of AI and agentic tooling into investment workflows, strengthen investment controls, and deliver scalable solutions that shape how a global, fast-growing systematic business invests.
Principal Model Optimization Engineer RobloxPrincipal Model Optimization EngineerSan Mateo, CA$295,250–$345,040 / yearEvery day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
NewSenior Product Manager, Model Apis & Developer Experience Together AISenior Product Manager, Model Apis & Developer ExperienceSan Francisco, CA$200,000–$280,000 / yearWe 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. The interfaces around those models shape the entire customer experience: how easily a developer can migrate an application, how reliably an agent can use a model, and how a team runs large asynchronous workloads.
NewMember of Technical Staff, Model Evaluation MirendilMember of Technical Staff, Model EvaluationSan Francisco, California$300,000–$400,000 / yearMirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. We are looking for a research engineer to build the evaluation infrastructure that tells us whether our models are getting better in ways we care about.
Machine Learning Engineer – World Model Institute of Foundation ModelsMachine Learning Engineer – World ModelSunnyvale, California$150,000–$450,000 / yearStrategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. You’ll build scalable, reliable, and observable cloud infrastructure, working closely with researchers to support data pipelines, experimentation, and evaluation workflows.
Backend Engineer, Models MeterBackend Engineer, ModelsSan Francisco, CaliforniaTo make this possible, we don’t just need great models; we need infrastructure that gives those models clean, versioned, low-latency access to the right data, across training, evaluation, and deployment. As described on Meter.ai , we’re building models in a closed-loop system that takes (as input) real-time telemetry, logs, and events on the network to autonomously troubleshoot, improve performance, and resolve issues.
NewSenior Research Engineer, Interactive World Models NvidiaSenior Research Engineer, Interactive World ModelsSanta Clara, CAAdvance 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. What you'll be doing: Build and optimize the continuous autoregressive serving loop, including per-step control inputs, model and KV-cache state management, GPU inference, frame streaming, and model integrations to speed-of-light.
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.
NewResearch Engineer, Interactive World Models - New College Grad 2026 NvidiaResearch Engineer, Interactive World Models - New College Grad 2026Santa Clara, CAHelp 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. Experience profiling or optimizing ML workloads using CUDA, Triton, TensorRT, torch.compile, or similar tools, including work on latency, throughput, quantization, streaming, state or cache management, or multi-GPU execution.
Model Maker Ursus, Inc.Model MakerFoster City, CA$52–$62.93 / hourYou will both bring and grow a prototyping mindset in addition to various capabilities including (but not limited to) metalwork (waterjet, shear, brake, mill, lathe, welding), composites, and additive manufacturing. Your support will include interfacing with both prototyping teammates and internal clients to support the rapid iteration for vehicle development.
Member of Technical Staff - Model Training SpaceXAIMember of Technical Staff - Model TrainingPalo Alto, CA$180,000–$600,000 / yearIf you previously trained models used by millions of people it's a big plus, but modeling experience is not required. SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
Senior Staff Software Engineer, AI Model Lifecycle CrusoeSenior Staff Software Engineer, AI Model LifecycleSan Francisco, California$237,600–$318,240 / yearThe Senior Staff Software Engineer for the AI Model Lifecycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs). We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
Senior Software Engineer, AI Model Lifecycle CrusoeSenior Software Engineer, AI Model LifecycleSan Francisco, California$172,425–$230,945 / yearWe're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. The Senior Software Engineer for the AI Model Lifecycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs).
Senior Deep Learning Engineer - Model Evaluation & AI Systems NvidiaSenior Deep Learning Engineer - Model Evaluation & AI SystemsSanta Clara, CAExperience acting as a technical bridge across teams or platforms (e.g., evaluation, training, or agent frameworks), combining architectural understanding with clear communication and influence. Ways to stand out from the crowd: Experience building or improving evaluation frameworks, benchmarks, or ML infrastructure used by other teams or external users.
Senior Software Engineer, Spatial Intelligence And Foundation Models NvidiaSenior Software Engineer, Spatial Intelligence And Foundation ModelsSanta Clara, CAYou will join a group of world-class robotics software and applied research engineers focused on geometric and semantic understanding, and reasoning for robots - building the perception systems that turn raw sensor data into actionable world understanding, shaping the future of physical AI! What you'll be doing: Design, implement, and deploy novel algorithms for spatial understanding, working on problems ranging from SLAM, structure-from-motion, optical flow, scene flow, and object reconstruction to training VLMs on a wide range of spatial reasoning skills.
Software Engineer, Models MeterSoftware Engineer, ModelsSan Francisco, CaliforniaIn addition to your customers, network engineers, you’ll partner closely with two research engineers who have deep ML backgrounds and a clear picture of what training data needs to look like. When a network engineer looks at a set of device stats and figures out it’s upstream packet loss — not a hardware failure, not a misconfiguration, specifically upstream packet loss — that reasoning lives in their head.
Full Stack Engineer, Scientific AI Models BenchlingFull Stack Engineer, Scientific AI ModelsSan Francisco, CAAlphaFold or Boltz2) predict structures, predict scientific properties, and generate new drug designs, acting as a design partner and a major time saver to scientists who are creating life-saving therapeutics. Projects you might work on include: adding new models as soon as they're published, improving model performance and scalability, and enabling scientists to automate their in-silico workflows by chaining models together into pipelines.
Senior Radar Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles NvidiaSenior Radar Perception Engineer, Obstacle Foundation Models - Autonomous VehiclesSanta Clara, CAEmbedded Optimization: Hands-on experience architecting and deploying DNN-based perception pipelines on embedded or real-time platforms, including optimization for latency, memory, and compute constraints, and familiarity with modern architectures (e.g., Transformers, BEV networks). NVIDIA GPUs run deep learning algorithms that simulate aspects of human intelligence, acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
Senior Research Scientist, Multimodal Foundation Models And Robotics NvidiaSenior Research Scientist, Multimodal Foundation Models And RoboticsSanta Clara, CADeep understanding of robot kinematics, dynamics, and sensors; Ability to safely operate robot hardware, lab equipment, and tools; Knowledge of control methods, including PID, model predictive control, and whole-body control; Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim; Robot hardware design and hands-on building experience. Hands-on training experience and publications in at least one of the following topics: LLMs; Large vision-language models; Video generative models and diffusion algorithms; or Action-based transformers.
Senior Applied Scientist, Efficient LLM Inference & Model Optimization Nebius Group NVSenior Applied Scientist, Efficient LLM Inference & Model OptimizationPalo Alto, CA$195,200–$262,200 / yearInvent, evaluate, and productionize methods for quantization, QAT, distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build high-quality prototypes in PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, then work with MLEs and platform engineers to productionize them.