- DataRobot (San Francisco, CA)
- …down complex problems into steps that enable customers to leverage their data and AI/ ML to create business value. The ideal candidate will also have experience with ... unstructured and structured data management capabilities like RAG systems , accessing data across various data stores and warehouses and preparing data at scale for… 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
- 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
- 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
- Amazon (San Francisco, CA)
- …and deploy machine learning models, frameworks, and data pipelines * Optimize ML training , inference, and evaluation workflows for reliability and performance ... Perception team performs applied machine learning research, including model training , dataset design, pre- and post - ... orchestration tools * Proven track record of improving ML systems , performance, and workflows Preferred Qualifications… 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
- 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
- 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
- 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
- Stanford University (Stanford, CA)
- …**Graduate School of Business, Stanford, California, United States** Information Analytics Post Date Oct 15, 2025 Requisition # 107528 Stanford's Graduate School ... we've created for faculty projects + Crafting internal and/or external tutorials and training materials on new or complex technical tools + Testing the boundaries of… more
- SLAC National Accelerator Laboratory (Menlo Park, CA)
- …and integrating research using x-ray probes with advanced data workflows, AI/ ML methods and computing for accelerating scientific discovery. SSRL's Materials Science ... of materials, with particular focus on energy, electronic, quantum and catalytic systems . This would include in situ and operando characterization of functional… more
- Capital One (San Francisco, CA)
- …large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre- training , post training pipeline for alignment and reasoning, LLM ... Capital One, we are creating trustworthy and reliable AI systems , changing banking for good. For years, Capital One...scratch (10B + parameters, 500B+ tokens) or through continued pre- training , post training pipeline for… more
- Meta (Menlo Park, CA)
- …ceiling.Our team contributes to data curation across all stages of LLM development (pre- training , mid- training , post - training ) and all domains/modalities ... data tooling 4. Architect efficient and scalable data curation systems and pipelines 5. Execute on high priority projects...and pipelines 5. Execute on high priority projects in pre- training , mid- training , or post - training… more
- Meta (Menlo Park, CA)
- …Our team contributes to data curation across all stages of LLM/LMM development (pre- training , mid- training , post - training ) and all domains/modalities ... foundational models 2. Architect efficient and scalable data curation systems and pipelines 3. Fundamentally improve our data velocity...data tooling 4. Execute on high priority projects in pre- training , mid- training , or post - training… more
- Meta (Menlo Park, CA)
- …ceiling.Our team contributes to data curation across all stages of LLM development (pre- training , mid- training , post - training ) and all domains/modalities ... synthetic data 3. Architect efficient and scalable data curation systems and pipelines 4. Fundamentally improve our data velocity...data tooling 5. Execute on high priority projects in pre- training , mid- training , or post - training… more
- Meta (Menlo Park, CA)
- …Lead technical program management of next-generation Artificial Intelligence/Machine Learning (AI/ ML ) platform(s) for Meta's Network Infrastructure in a matrix ... covering a range of areas (Data Center, Network, Hardware Systems , Infrastructure Engineering, Software Engineering, Capacity Management) and across multiple… more
- Amazon (San Francisco, CA)
- …detect, investigate, and remediate problems faster, and coupled with AI and ML , proactively react, predict, and prevent problems. As a Principal Observability ... you will drive enterprise adoption and value realization for Customers in their post launch journeys around observability. In this role, you will engage and build… more
