Technical Program Manager, Model Performance BasetenTechnical Program Manager, Model PerformanceSan Francisco, CaliforniaExperience program-managing model performance or inference optimization work - you understand how engines like vLLM, TensorRT-LLM, SGLang, or NVIDIA Dynamo fit into a production serving stack and can engage credibly with the engineers building on them. You won't inherit an existing program framework, you'll build one from the ground up: the planning structure, execution processes, metrics and the cross-functional alignment that a fast-growing organization needs.
NewSoftware Engineer - Model Performance Systems BasetenSoftware Engineer - Model Performance SystemsSan Francisco, CaliforniaBy uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. You will not just be building the automated "speedometer and diagnostic" suite for our next-generation AI infrastructure; you will be defining the roadmap, driving key technical decisions, and taking full ownership of the future of this work.
Machine Learning Engineer – World Model Institute of Foundation ModelsMachine Learning Engineer – World ModelSunnyvale, CaliforniaStrategic 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, California$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.
Senior 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.
Simulation Engineer - Physics Modeling 1XSimulation Engineer - Physics ModelingSan Carlos, California$200,000–$300,000 / yearYou will make the simulator physically accurate enough that results earned in simulation hold up on hardware, building and validating the dynamics, material, and sensor models that decide whether a simulated result means anything. We construct physically realistic simulation worlds for NEO, scale synthetic data production, close the sim-to-real gap, and prototype new hardware virtually before it's manufactured.
ML Infra Engineer, Modeling Physical IntelligenceML Infra Engineer, ModelingSan Francisco, CaliforniaThe ML Infrastructure team supports and accelerates PI’s core modeling efforts by building the systems that make large-scale training reliable, reproducible, and fast. Own training/inference infrastructure: Design, implement, and maintain systems for large-scale model training, including scheduling, job management, checkpointing, and metrics/logging.
Principal Research Engineer, Model Training & Post-Training Inflection AIPrincipal Research Engineer, Model Training & Post-TrainingPalo Alto, CA$400,000–$550,000 / yearLead training and post-training strategy, including supervised fine-tuning, RLHF, DPO, GRPO, RLAIF, reward modeling, preference optimization, tool-use fine-tuning, distillation, synthetic data, and related methods. Inflection's models are central to our product and platform strategy, and we are looking for a hands-on technical leader to own the model-improvement loop from data and training through evals, post-training, release criteria, and production feedback.
Senior Power System Modelling Engineer Powertech Labs IncSenior Power System Modelling EngineerSan Jose, CARemoteOur internationally recognized consulting team provides a full range of services, including electromagnetic transient studies, system planning and stability analysis (transient, voltage, frequency, and small-signal), disturbance investigations, interconnection studies, renewable integration (wind and solar), load modeling and validation, and NERC compliance (e.g., TPL, PRC, MOD, CIP). Experiences on site commissioning and testing including regular field work following procedures, data collection using digital DAQ systems, control equipment function and communication troubleshooting, safety training and awareness, considered as an asset.
Member of Technical Staff (Model Behavior) PerplexityMember of Technical Staff (Model Behavior)San Francisco, CaliforniaContext Engineering: Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases. We're hiring software engineers for the Model Behavior team to help shape how Perplexity’s AI products behave: the style of their responses, and the way they use tools, skills, and memory.
Research Engineer - Brain Computer Interface Models ZyphraResearch Engineer - Brain Computer Interface ModelsSan Francisco, CaliforniaAs a Research Engineer - Brain Computer Interface Models , you will be a core contributor to Zyphra’s BCI work, building the next generation of open-source EEG and brain–computer interface models. Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain.
Member of Technical Staff - Computer Vision Models 5C Network Pvt LtdMember of Technical Staff - Computer Vision ModelsCAYou will work on systems that move from code to clinical impact unusually quickly: reports delivered faster, radiologists made more effective, hospitals able to serve more patients. Experience with at least one of: medical imaging, DICOM/NIfTI, 3D volumetric analysis, segmentation, detection, vision transformers, self-supervised learning, or multimodal image-text systems.
Research Engineer - Brain Computer Interface Models Zyphra TechnologiesResearch Engineer - Brain Computer Interface ModelsSan Francisco, CAThe Role: As a Research Engineer - Brain Computer Interface Models, you will be a core contributor to Zyphra's BCI work, building the next generation of open-source EEG and brain-computer interface models. Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain.
AI Engineer, Model Distillation, Tesla AI Tesla IncAI Engineer, Model Distillation, Tesla AIPalo Alto, CA$124,000–$558,000 / yearYou will work with one of the richest real-world driving, robotics and human-interaction datasets available, spanning vision, language, action, and on-robot telemetry providing a unique environment to study how capability transfers from large teacher models into compact students that must run under strict latency, power, and reliability constraints. Tesla also offers one of the highest GPU resources per engineer in the industry, giving you the computational budget to train frontier-scale teachers, generate high-quality distillation corpora at volume, and iterate on student architectures far beyond typical research environments.
Software Engineer, AI Model Delivery Tesla IncSoftware Engineer, AI Model DeliveryPalo Alto, CA$140,000–$390,000 / yearBeyond speed, our systems are core to 24/7 Optimus model evaluation, reinforcement learning flows, weights installation on Tesla products around the world, driving vehicles autonomously off factory lines, and seamless deployment across countries. Comfortable across many subsystems, cloud, build, device, inference runtime, networking, scope broad asks, solve them optimally in the fast internal loop, then leverage that win in prod across the fleet and around the world.
Machine Learning Engineer, Model Quantization, Tesla AI Tesla IncMachine Learning Engineer, Model Quantization, Tesla AIPalo Alto, CA$124,000–$558,000 / yearJoin our AI Team and you'll have: Unparalleled real-world data (tens of billions of miles of driving + robot interactions + digital workflows); One of the largest AI training clusters on Earth; Immediate closed-loop feedback from vehicles, physical robots, and real-time computer interfaces; The ability to ship improvements to millions of customers, robots, and digital agents in weeks, not years. Whether your background is in pushing the limits of ultra-low-bit precision, developing post-training quantization and quantization-aware-training algorithms, or designing model architecture for quantized inference, if you excel at making massive deep learning models run lightning-fast on custom silicon and want to see your research deployed at planetary scale, this role is built for you.
Associate Product Manager, Hive Models HiveAssociate Product Manager, Hive ModelsSan Francisco, CA$90,000–$120,000 / yearAssociate Product Manager, Hive Models Role As an Associate Product Manager on our Hive Models team, you will work cross-functionally with stakeholders to help define product requirements and support implementation efforts, collaborating closely with our Machine Learning, Core Infrastructure, and Product teams. Support our Hive Models portfolio by learning the needs of the product development teams, and contributing to the creation of our deep learning models that provide human-like interpretation of video, image, audio, and text.
New2027 PhD AI Model Optimization & Software Engineer Intern/Co-op Advanced Micro Devices Inc2027 PhD AI Model Optimization & Software Engineer Intern/Co-opSanta Clara, CACurrently enrolled in a U.S.-based PhD program in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related technical field. Whether you're designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward.
Senior Machine Learning Engineer, Model Training and Reinforcement Learning NebiusSenior Machine Learning Engineer, Model Training and Reinforcement LearningPalo Alto, California$195,200–$262,200 / yearThey can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. Design and run model-training and post-training experiments, including SFT, continued pretraining, preference optimization (DPO/IPO/KTO), and RL methods such as RLHF/RLAIF, PPO, and GRPO.
Modelling Data Scientist, Vice President - AI Labs BlackRockModelling Data Scientist, Vice President - AI LabsSan Francisco, New YorkOur teams work on some of the firm's highest priority strategic initiatives, including large-scale generative AI systems, intelligent agents, predictive analytics, optimization engines, operational risk solutions, and AI platforms that accelerate innovation across BlackRock. Solutions developed often use multiple subject areas, including Generative AI, machine learning, and optimization, and combine original methods with pioneering solutions available in industry and academia.