Sr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTM Amazon.com IncSr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTMSan Francisco, CAThis involves activities such as market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features, and identifying partners and potential acquisitions. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers, partners, and importantly, the developer community of ML Frameworks and key open-source offerings.
Staff Software Engineer, Model as a Service, Cloud AI Google LLCStaff Software Engineer, Model as a Service, Cloud AISunnyvale, CAWere looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. Our Model as a Service (MaaS) aims to provide a much needed new level of abstraction to remove the complexity of development and provide large GenAI models as a scalable, cloud-based service with an enhanced suite of tools to facilitate the use, integration, and model management.
Machine Learning Research Engineer, Model Evaluation WindBorne SystemsMachine Learning Research Engineer, Model EvaluationPalo Alto, California$140,000–$240,000 / yearWindBorne Systems is supercharging weather forecasts with a proprietary data source: a global constellation of next-generation smart weather balloons targeting critical atmospheric data. Evaluation strategy — Work with our Meteorology team to develop a rigorous, meteorologically valid strategy for comparing WeatherMesh with leading AI and physics-based models.
VP, Bioassays, Cell Models, And Genomic Screening InsitroVP, Bioassays, Cell Models, And Genomic ScreeningSouth San Francisco, CA$290,000–$326,000 / yearLead innovation: Provide strategic, technical, and operational leadership in the development, validation, and implementation of disease-relevant cell models, genomic screening (phenotypic pooled optical screening and arrayed screening), and supporting assay development for drug discovery. In this leadership role, your primary responsibilities will be to: Drive insitro's discovery engine: Set the strategic vision for cell models, image based and genomic screens, as well as bioassay development and execution across all therapeutic areas, fueling our target and drug discovery ML engine.
Machine Learning Research Engineer, Model Evaluation WindBorne Systems IncMachine Learning Research Engineer, Model EvaluationRedwood City, CAWindBorne Systems is supercharging weather forecasts with a proprietary data source: a global constellation of next-generation smart weather balloons targeting critical atmospheric data. Evaluation strategy - Work with our Meteorology team to develop a rigorous, meteorologically valid strategy for comparing WeatherMesh with leading AI and physics-based models.
Engineering Manager - Model Performance BasetenEngineering Manager - Model PerformanceSan 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. Drive the development and deployment of large-scale optimization techniques for various ML models, especially large language models (LLMs).
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.
NewSoftware Engineer - Model Performance BasetenSoftware Engineer - Model PerformanceSan 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. Implement, refine, and productionize cutting-edge techniques (quantization, speculative decoding, KV cache reuse, chunked prefill and LoRA) for ML model inference and infrastructure.
Material Response Modeling Engineer Analytical Mechanics AssociatesMaterial Response Modeling EngineerMountain View, California$120,000–$180,000 / yearWork may include modeling ablative and charring material systems; developing numerical methods and software for coupled flow–material interactions; modeling pyrolysis, decomposition, oxidation, recession, spallation, and phase-change processes; and verifying and validating models against relevant test data, including arc-jet test results. Analytical Mechanics Associates (AMA) is seeking a highly motivated Material Response Modeling Engineer to support NASA under the Aircraft Systems and Spaceflight Engineering Support Services (ASSESS) contract at NASA Ames Research Center (ARC) in Moffett Field, California.
Datacenter Compute SoC Performance Modeling Architect MediaTek IncDatacenter Compute SoC Performance Modeling ArchitectSan Jose, CAYou will collaborate closely with CPU/Compute core architects, SoC architects, IP architects, workload characterization teams, and RTL designers to ensure our silicon delivers industry-leading performance-per-watt and scales efficiently to meet the demands of modern hyper-scale infrastructure. Simulator Development: Design, develop, and maintain cycle-accurate and transaction-level performance models (C++/SystemC) for multi-core datacenter SoCs, including CPU cores, memory subsystems, interconnects (NoC), and high-speed I/O (PCIe/CXL).
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.
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.
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.