- General Motors (Mountain View, CA)
- …Physics, or another relevant field; or equivalent real-world experience + Experience building ML data processing systems using Beam / Spark and its ecosystems ... data platform in the cloud and providing powerful foundations for GM ML Data Platform tools, frameworks, and services. Responsibilities include ensuring scalable,… more
- Snap Inc. (San Francisco, CA)
- …play a critical role in scaling our ML Infrastructure, optimizing AI training and inference systems , and driving innovations that make Snapchat's ranking and ... such as computer science or equivalent industry experience + Experience working with ML Training platforms or optimizing AI model inference + Familiarity with… more
- Google (Mountain View, CA)
- …infrastructure (eg, YouTube, Search). + Contribute to the frameworks roadmaps. Implement ML model architectures, post - training techniques, and inference ... for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary...and measurable time savings on real-world migrations of complex ML training pipelines. Collaborate with ML… more
- Stanford University (Stanford, CA)
- ML Data Engineer - Healthcare Data Curation & Cleaning (1 Year Fixed Term) **School of Medicine, Stanford, California, United States** Information Analytics Post ... and population data. **About the Position:** We are seeking an experienced ML Data Engineer to drive the programmatic curation, cleaning, and generation of… more
- Google (Mountain View, CA)
- …from sophisticated prompt engineering and combining LLMs with other techniques like graph ML , to implementing post - training strategies such as fine-tuning ... **About the team:** We're a small, passionate and driven team of experienced ML researchers, software engineers and product managers on a mission to make the… more
- Microsoft Corporation (Mountain View, CA)
- …our vision to life. Ideal candidates will: + Deeply understand cloud infrastructure, distributed systems , and the deployment of AI/ ML workloads on Azure. + Have ... within the team. + Work closely with teams on cloud infrastructure, data engineering, pre- training , post - training , and product feedback. + Advance the AI… more
- Microsoft Corporation (Mountain View, CA)
- …within the team. + Work closely with teams on infrastructure, data engineering, pre- training , post - training , and product feedback. + Advance the AI ... created to push the boundaries of AI toward Humanist Superintelligence-ultra-capable systems that remain controllable, safety-aligned, and anchored to human values.… more
- Google (Mountain View, CA)
- …capabilities in code security analysis. You will bring contributions to our ML innovation, post - training refinement (SFT/RLHF), advanced evaluation, and ... powerful code security analysis. Key responsibilities: + Design and Implement advanced post - training algorithms (SFT, RLHF, RLAIF) to optimize Gemini for code… more
- Meta (Menlo Park, CA)
- …the year. **Required Skills:** Research Scientist Intern, AI Research Multi-modal Post - Training (PhD) Responsibilities: 1. Perform research to advance the ... audio, and other modalities). 3. Improve and propose new methods for post - training foundation models across the spectrum of techniques including reinforcement… more
- Meta (Menlo Park, CA)
- …of current and new hardware platforms. These platforms are the foundation of our AI Training and Inference systems , and are a key enabler to supporting the ... system architecture and related technologies 21. Knowledge of compute, storage and/or AI/ ML server development 22. Hardware Systems Design experience and new… more
- Snap Inc. (Palo Alto, CA)
- …+ Play a key role in scaling our ML infrastructure by optimizing AI training and inference systems , retrieval frameworks, and ML feature stores, while ... with one of the following programming languages: Golang / Java + Familiarity with ML Infrastructure systems and/or real-time data pipelines is a plus +… more
- DoorDash (San Francisco, CA)
- …a Machine Learning Engineer on the team, you'll design and deploy production ML systems that drive decision-making across Dasher acquisition, incentives, and ... marketplace balancing. You'll own the end-to-end ML lifecycle-from feature engineering and model training ...spend across acquisition, referrals, and retention. + Platformization of ML systems to standardize forecasting, monitoring, and… more
- General Motors (Mountain View, CA)
- …As a Senior Machine Learning Engineer, you will lead the development of end-to-end AI/ ML systems that solve high-stakes problems in robotics and manufacturing at ... teams to understand requirements and translate those to develop ML systems for production systems ...in relevant field or related discipline (STEM focused) + Post PhD experience in AI/ ML , demonstrating advanced… more
- Stanford University (Stanford, CA)
- …AI Agents (or equivalent). Able to explain tool selection, orchestration logic, and post ‑deployment support. + Proven Delivery: Implemented 3+ AI/ ML projects and ... AI/ ML , or equivalent demonstrable portfolio of production AI/data systems . **Physical Requirements*:** + Constantly perform desk-based computer tasks. +… more
- Microsoft Corporation (Mountain View, CA)
- …you will be advancing the next generation of LLM models working on either (1) pre- training and post - training data and evaluations, (2) training ... + Have built data collection or evaluation pipelines for pre- training or post - training AI models...2+ years direct, hands-on collaboration with model researchers and ML engineers in areas such as training … more
- Stanford University (Stanford, CA)
- …Agents (or equivalent). Able to explain tool selection, orchestration logic, and post ‑deployment support. + **Proven Delivery:** Implemented 3+ AI/ ML projects ... ML /AI certifications orstrong demonstrable portfolio of production AI systems . **Physical Requirements*:** + Constantly perform desk-based computer tasks. +… more
- Amazon (San Francisco, CA)
- …direct and partner-led customer success motions - Design comprehensive agent systems that transform post -launch customer journeys through intelligent automation ... adoption and business outcomes for customers. You will transform AWS' post -launch customer journey through intelligent automation, predictive insights, and scalable… more
- Microsoft Corporation (Mountain View, CA)
- **Overview** We're looking for data scientists to help build the next generation of post - training methods for frontier models at Microsoft AI. You'll join a ... small, high-impact team working across all stages of post - training , with a focus on evaluation design,...transforming powerful pretrained models into robust, aligned, and high-performing systems used by millions of people worldwide. Our work… more
- Stanford University (Stanford, CA)
- …Technology **School of Medicine, Stanford, California, United States** Information Analytics Post Date Oct 30, 2025 Requisition # 107656 **Note: This position ... data science, information management, and health sciences research, embedding advanced AI/ ML expertise into library services to accelerate evidence-based medicine by… more
- Cisco (San Jose, CA)
- …contributing across model architecture, experimentation, evaluation, and integration into production systems . + Push the boundaries of agentic GenAI by developing ... powered by LLMs in both interactive and automated workflows. + Optimize training and inference workflows through efficient data pipelines, distributed training … more