Backend Engineer, Models Meter, Inc.Backend Engineer, ModelsSan Francisco, CA$160,000–$230,000 / yearTo 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.
World Model Research Scientist- Physical AI Kodiak Robotics, IncWorld Model Research Scientist- Physical AIMountain View, CA$180,000–$240,000 / yearShould the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. We are looking for a research scientist to lead the design and development of world models capable of generating multi-sensor, multi-view, temporally coherent driving scenarios conditioned on actions, 3D scene context, and text.
Member Of Technical Staff - Model Training TwitterMember 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.
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.
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 / Principal ML Scientist, Foundation Models for Life Sciences Lila SciencesSenior / Principal ML Scientist, Foundation Models for Life SciencesSan Francisco, California$268,000–$384,000 / yearYou will shape the technical direction for how ML models are trained, evaluated, and deployed at scale, collaborate closely with AI scientists and experimental researchers to close the computational–experimental loop, and drive Lila's ML infrastructure toward the next generation of capabilities. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
Relational Foundation Model Engineer, Modern Data Stack NvidiaRelational Foundation Model Engineer, Modern Data StackSanta Clara, CAYou will partner with world-class researchers and engineers across the full machine learning lifecycle, from architecture exploration and large-scale training to post-training optimization and high-performance inference. What you'll be doing: Collaborate with researchers/engineers to enhance our Transformer and GNN-based models to operate seamlessly over any relational schema and heterogeneous graph.
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.
Senior Software Engineer, NIM Model Customization NVIDIA CorpSenior Software Engineer, NIM Model CustomizationSanta Clara, CAExperience in utilizing model customization tools: LoRA, QLoRA, supervised fine-tuning (SFT), reinforcement learning (RL), preference optimization (e.g., DPO), and retrieval-augmented generation (RAG). We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing.
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.
Foundation Models GenesisFoundation ModelsSan Carlos, CaliforniaDesign new generative simulation techniques to expand simulation data scale and diversity, training and evaluating generative models of 3D objects and environments, and language/code models to generate tasks and reward functions. Build machine learning models for robotics control end-to-end: data curation, careful evaluation, model architecture, training/inference stacks, rigorous experiments.
Senior/Staff Research Engineer - Vision-Language-Action Models (Autonomous Driving) PlusAI IncSenior/Staff Research Engineer - Vision-Language-Action Models (Autonomous Driving)Santa Clara, CA$170,000–$260,000 / yearYou''ll train VLA models that generate high-level driving decisions and trajectory guidance for on-board strategic decision-making, and design the knowledge distillation and compression techniques that transition large models onto on-board compute. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
NewSenior Integration Engineer, End-To-End Model - Autonomous Vehicles NvidiaSenior Integration Engineer, End-To-End Model - Autonomous VehiclesSanta Clara, CAWe are looking for a Senior Integration Engineer to accelerate the development, integration, evaluation, and deployment of end-to-end driving models across large-scale training infrastructure, simulation environments, and production vehicle platforms. What we need to see: PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, Robotics, Machine Learning, or a related field.
Senior Research Scientist, Multimodal Foundation Models and Robotics NVIDIA CorpSenior 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.
NewSenior Manager, Interactive World Model Platforms NvidiaSenior Manager, Interactive World Model PlatformsSanta Clara, CATechnical fluency in the ML primitives behind interactive world models, including diffusion or flow-matching models, autoregressive / causal video generation, self-forcing or causal-forcing style training, Gaussian splatting, NeRFs, and neural reconstruction. Ways to stand out from the crowd: Experience adopting Gaussian splats, NeRFs, neural reconstruction, neural shading, or other advanced rendering techniques for AV, robotics, simulation, synthetic data, or production rendering workflows.
NewDeveloper Relations & Community Manager – Institute of Foundation Models (IFM) Institute of Foundation ModelsDeveloper Relations & Community Manager – Institute of Foundation Models (IFM)Sunnyvale, CaliforniaSuccess means more developers actively building with IFM models, stronger adoption through platform integrations and community partnerships, and a clear feedback loop that improves our models and developer experience. Strategic 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.
Software Engineer, Productivity - Model Performance OpenAISoftware Engineer, Productivity - Model PerformanceSan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
Senior AI Infrastructure Engineer - Model Training KodiakSenior AI Infrastructure Engineer - Model TrainingMountain View, CA$190,000–$260,000 / yearShould the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. Experience building high-performance data pipelines for large-scale training, including streaming dataset formats (WebDataset, MosaicML Streaming/MDS, or similar), sharding, and storage/network-aware loading.
Engineering Manager, Model Flywheel OpenAIEngineering Manager, Model FlywheelSan Francisco, CaliforniaFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. The ChatGPT Model Flywheel team unified goal is to transform model advancements into great ChatGPT user experiences through reliable serving, rapid experimentation, safe deployment, and continuous improvement.
Principal Roboticist, Robot Foundation Model Wayve Technologies LtdPrincipal Roboticist, Robot Foundation ModelSunnyvale, CAYou will have the opportunity to work across the entire robot stack: you will select, build, integrate, and maintain robot hardware; develop the software needed to deploy and test robot policies; and work closely with research teams to shape data collection, model evaluation, and the learning loop. You will collaborate closely with researchers, ML engineers, roboticists and hardware teams to move ambitious ideas rapidly from research hypotheses to large-scale experiments and impressive real-world capabilities.