Research Scientist - World Model Luma AI, Inc.Research Scientist - World ModelRedwood City, CAYou'll turn Luma's industry-leading generative video models into world models: interactive, controllable, physically faithful, and useful as a substrate for embodied reasoning. You'll invent next-generation world-model architectures and the controllability that lets an agent step into a generated world, and own the metrics that define success.
Senior / Staff Machine Learning Engineer - Behavior Models for Road Users ZooxSenior / Staff Machine Learning Engineer - Behavior Models for Road UsersFoster City, CAFull timeAs an ML Agents Machine Learning Engineer, you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. These agents populate Zoox's simulations and must be indistinguishable from real road users, yet fully controllable: promptable into the rare, adversarial, safety-critical behaviors we need to test against.
Senior / Staff Machine Learning Engineer - Behavior Models For Road Users ZooxSenior / Staff Machine Learning Engineer - Behavior Models For Road UsersFoster City, CA$254,000–$366,000 / yearAs an ML Agents Machine Learning Engineer, you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. 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.
Machine Learning Engineer - Behavior Models For Road Users ZooxMachine Learning Engineer - Behavior Models For Road UsersFoster City, CA$199,000–$283,000 / yearAs an ML Agents Machine Learning Engineer, you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. 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.
Tech Lead, Robotic AI Model Faraday FutureTech Lead, Robotic AI ModelFremont, CA$150,000–$180,000 / yearThe Company, together with its controlled subsidiaries, operates across multiple technology-driven areas, including AI electric vehicles, robotics, and its crypto business (AIXC), all under its upgraded Global EAI Industry Bridge Strategy, marking the beginning of a new chapter in AI mobility and Web3 integration. You will work across the full post-training lifecycle: curating demonstration data, fine-tuning vision-language-action (VLA) models or world models, training reinforcement learning policies in simulation, validating behaviors on real hardware, and optimizing models for on-robot inference.
Research Program Manager – Adversarial Model Research OpenAIResearch Program Manager – Adversarial Model ResearchSan 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 Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust.
Solutions Architect - AI Model Specialist FriendliAISolutions Architect - AI Model SpecialistSan Francisco, CaliforniaOur infrastructure powers high-throughput, low-latency workloads for global organizations and integrates directly with Hugging Face, providing instant access to over 600,000 open-source models. You will work closely with our customers to integrate FriendliAI’s inference and agent frameworks into real-world products, enabling them to build and scale AI applications effectively.
Research Program Manager - Adversarial Model Research OpenAIResearch Program Manager - Adversarial Model ResearchSan 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. The Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust.
Research Scientist - Multi-modal AI & Efficient Generative Models Meta Platforms IncResearch Scientist - Multi-modal AI & Efficient Generative ModelsBurlingame, CADrive the organization's goal towards relevant machine learning techniques in the area of multi-modal understanding and generation to build & optimize our intelligent systems that improve Meta's products and experiences Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency Conduct applied research to advance the state of the art in efficient generative models (Diffusion models, Multi-modal LLMs, Vision Language Action models) and efficient perception models (Scene and Video understanding) Apply research to advance Meta's smartglasses and VR product lines Advance the state of the art in your problem area by defining and executing research roadmaps over 6-month or longer timeframes Collaborate with different cross-functional teams across the globe in research and product Present the outcomes of the research findings as papers in top-tier peer-reviewed conferences in the areaPhD in Computer Science or a related field with published projects in the fields of machine learning, Deep learning with a focus on vision-language models Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7+ years of experience leading research projects with industry-wide impact Proven development skills in Deep Learning, working with PyTorch or TensorFlow Experience developing deep learning models or infrastructure in Python or C/C++ Experience in one or more of the following areas: deep learning, Computer Vision, language models, Machine Learning or artificial intelligence First-authored publications at peer-reviewed conferences, e.g. ICLR, ICML, CVPR, ECCV, ICCV, NeurIPS Experience with CPU/GPU and mobile optimization Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forwardMeta builds technologies that help people connect, find communities, and grow businesses.
Senior Staff Machine Learning Engineer – Autonomous Driving Foundation Models XPENGSenior Staff Machine Learning Engineer – Autonomous Driving Foundation ModelsSanta Clara, CA$244,140–$413,160 / yearXPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing ( eVTOL ) aircraft, and robotics. Key Responsibilities: Architectural Leadership: Lead the design of end-to-end VLA architectures, bridging multi-modal perception with high-level linguistic reasoning and precise action generation.
Product Designer, AI Models FigmaProduct Designer, AI ModelsSan Francisco, CA • New YorkJob level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off.
Model UX Writer, Devices and Services Google LLCModel UX Writer, Devices and ServicesMountain View, CATeams across this area research, design, and develop new technologies to make our user"s interaction with computing faster and more seamless, building innovative experiences for our users around the world. The Platforms and Devices team encompasses Google"s various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware.
Staff AI Research Engineer, Large User Models Google LLCStaff AI Research Engineer, Large User ModelsMountain View, CAWe"re 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. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Product Operations Manager, Model Quality Meta Platforms IncProduct Operations Manager, Model QualityMenlo Park, CAEvals owners own execution of verification pipelines within their products; this role ensures consistency and identifies gaps across the portfolio while building institutional competence by surfacing performance patterns and proven methodologies, enabling evals captains' ability to execute and unblocking them as needed Defines what leadership needs to see, how model health should be measured and reported, and what thresholds trigger escalation Provides thought partnership to evals managers on narrative of model health, provides visibility into our classification strategy and accuracy measurement process Works with evaluation managers to drive cross-app taxonomy alignment in alignment with cross-functional needs and advises on a strategy for the migration of LLM accuracy assessment to judges Owns the consolidated view of all production model performance, identifies systemic patterns and emerging risks, and ensures leadership can verify model health on demand Partners with AI Implementations, operational systems teams and the Metrics & Measurement team to build and maintain the infrastructure that surfaces this information Establishes performance guardrails that evals captains implement. Continuously scans industry developments and best practices to incorporate into org-wide approach Maintains a tight feedback loop with product and eng teams across apps to ensure alignment on production priorities and deployment risks Deploys deep SME expertise to diagnose, unblock and directly resolve technical bottlenecks to complex model quality problems (atrophy, accuracy regressions, performance plateaus) when evaluation leads encounter blockers they cannot resolve independently Drives alignment with cross-functional teams (quality and reliability partner teams) on tooling needs to support Product Operations classification strategy (ML classification tooling for initial-tier classification, user voice, breakdown graphs).
NewModel Policy Manager, National Security OpenAIModel Policy Manager, National SecuritySan 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. Our work spans diverse research and engineering initiatives-from system-level safeguards and model training to evaluation and red-teaming-all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety.
NewSenior Model UX Designer, GeminiApp, DeepMind Google LLCSenior Model UX Designer, GeminiApp, DeepMindMountain View, CAAt Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. Partner with AI product designers to craft leading-edge multimodal solutions, ensuring model responses and UI components work in concert to deliver cohesive, high quality experiences.
Tech Engagement Lead - Model Builder NvidiaTech Engagement Lead - Model BuilderSanta Clara, CAThis role demands a leader who can operate strategically at the intersection of product vision, advanced technical execution, and high-level customer engagement, directly influencing model architecture optimization, training infrastructure investments, and ensuring the deployment of robust, scalable generative AI solutions that redefine the state-of-the-art. NVIDIA is seeking a highly influential Generative AI Technical Engagement Lead to evangelize for, drive, and support the seamless adoption and accelerate the performance of NVIDIA's accelerated computing stack across critical AI model development initiatives with leading AI model builders.