Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise Genai Scale AI, Inc.Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenaiSan Francisco, CA$264,800–$331,000 / yearAs a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.
Gen Ai Ml Ops Engineer StaffWorthyGen Ai Ml Ops EngineerMilpitas, CaliforniaModel Training and Evaluation: Develop and train AI models using cutting-edge machine learning and deep learning frameworks, and continuously refine and optimize these models to achieve superior performance. CANDIDATE DETAILS 5+ to 7 years' experience Seniority Level - Mid-Senior Management Experience Required - No Minimum Education - Bachelor's Degree Willingness to Travel - Never INTAKE SESSION There will not be an intake session call for this Bounty.
DevOps Engineer Stamford American International HospitalDevOps EngineerNewark, CA$79.21–$104.97 / hourIf you have the "crispy" coding skills to build RAG pipelines in Python and the "rich" architectural depth to deploy scalable microservices, extensive full stack software development expertise, we want you to lead the integration of reasoning-based AI into the future of clinical and business workflow automations. You wont just manage servers; you will build the robust, full-stack "factory" where multi-agent frameworks interact with healthcare APIs, ensuring every autonomous action is governed by strict ML Ops observability (LangSmith, Arize) and safety guardrails.
Machine Learning Engineer: LLM Interpretability & Systems CTGTMachine Learning Engineer: LLM Interpretability & SystemsSan Francisco, CaliforniaCTGT’s Senior Machine Learning Engineer will operate deep within the model stack, working directly with weights, activations, and architectures to build the systems that make AI governance deterministic. Leverage techniques like activation patching, control vectors, and feature extraction to achieve targeted, repeatable improvements in model output.
Member of the Technical Staff - Machine Learning Two DotsMember of the Technical Staff - Machine LearningSan Francisco, CaliforniaWe believe that public and private policy has to change, and that involves breaking the system that conceals our affordability crisis and leaves people without the disposable income required to live satisfying lives, fueling resentment and political instability that turns problems at home into problems for the world. Other team members include: Meta ML alumnus with decades of experience, a 21 year old UMich grad who was a top 2,000 LoL player (he is no longer playing the game, thank god), and a former agave farmer who started a shipping and logistics company while at Stanford.
Computer Vision AI & ML Engineer Rethink recruitComputer Vision AI & ML EngineerSan MateoThe core belief is that massive scale through data-driven machine learning is the key to unlocking these capabilities and enabling the widespread deployment of robots in the real world. • Develop and optimize deep learning models for depth estimation, object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data.
Staff/Lead Machine Learning Engineer, Behavior & Planning NuroStaff/Lead Machine Learning Engineer, Behavior & PlanningMountain View, CA$235,030–$352,290 / yearWith years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Strong preference for prior experience in autonomous vehicles or robotics, and familiarity with how ML fits into a complete autonomy/planning stack, though we hire strong general-ML talent from adjacent domains and value the ability to ramp on a new domain quickly.
Staff Machine Learning Engineer - LLM Quantization & Deployment XPeng MotorsStaff Machine Learning Engineer - LLM Quantization & DeploymentSanta Clara, CA$215,280–$364,320 / yearDevelop VLA inference models, ensure numerical consistency with training models, and productionize LLM quantization methods, including PTQ, QAT, mixed-precision inference, INT8, FP4, and lower-bit techniques. XPENG 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.
Machine Learning Research Engineer, Agent Data Foundation - Enterprise Genai Scale AI, Inc.Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenaiSan Francisco, CA$264,800–$331,000 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set.
AI Research Scientist, Applied AI, Google Cloud GoogleAI Research Scientist, Applied AI, Google CloudSunnyvale, CAFrom creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. Take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, designing experiments, analyzing loss patterns, and driving improvements through system changes or training data enhancements.
NewSenior Research Engineer Pop-Up TalentSenior Research EngineerSanta Clara, CASolve some of the most challenging problems in wireless geolocation and location intelligence with advanced software-based location technologies used in public safety, national security, telecommunications, and commercial applications worldwide by leveraging AI, machine learning, and large-scale analytics to transform location data into actionable intelligence. Non-Terrestrial Networks (NTN), including LEO satellite positioning, RTT-based methods, ephemeris modeling, or hybrid terrestrial/non-terrestrial architectures.
Machine Learning Research Scientist, Behavior Planning And Prediction NuroMachine Learning Research Scientist, Behavior Planning And PredictionMountain View, CA$160,360–$240,540 / yearTo name a few, using self-supervised learning to learn robust representations, exploring techniques for out-of-distribution detection to solve long tail problems, adjusting reinforcement learning techniques for motion planning, working on trajectory prediction and motion planning, investigating the robustness of models to mitigate uncertainties, or trying to build an end-to-end driving system. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.
Early Career Machine Learning Engineer, Applied AI Brain Co.Early Career Machine Learning Engineer, Applied AISan Francisco, CaliforniaMake a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. As a Machine Learning Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy.
Machine Learning Infrastructure Engineer Character AIMachine Learning Infrastructure EngineerRedwood City, CAIn just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year-a testament to our innovative technology and visionary approach. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures.
Staff Machine Learning Engineer XPeng MotorsStaff Machine Learning EngineerSanta Clara, CA$215,280–$364,320 / yearAnalyze TSR-related scenarios and failure cases, including missed detections, false positives, occlusions, small objects, rare signs, region-specific signs, and adverse weather or lighting conditions. This role is ideal for candidates who enjoy solving practical computer vision problems, building reliable model iteration pipelines, and bringing perception models from offline training to onboard production systems.
Machine Learning Systems Research Engineer, Agent Post-Training - Enterprise Genai Scale AI, Inc.Machine Learning Systems Research Engineer, Agent Post-Training - Enterprise GenaiSan Francisco, CA$264,800–$331,000 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system.
Senior Machine Learning Engineer ATOMSSenior Machine Learning EngineerMountain View, California$175,000–$230,000 / yearAdvanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field is required with preferred 3+ years of relevant experience. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team—so we invest in both, creating an environment where you can do your best work and grow.
Senior Deep Learning Performance Architect NvidiaSenior Deep Learning Performance ArchitectSanta Clara, CAWhat you will be doing: As a member of our deep learning architecture team, you will craft high performance energy efficient system and processor architectures to extend the state of the art in deep learning. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.
Senior Software Engineer AI U.S.Senior Software Engineer AIPleasanton, CaliforniaResponsibilities: - Lead data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance - Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine’s own internal connector ecosystem - Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy - Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets - Collaborate & innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies. Infrastructure and Environment Management: Design and manage training infrastructure including distributed training orchestration, GPU/TPU resource allocation, and automatic scaling.
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.