- Capital One (San Francisco, CA)
- Lead AI Engineer (FM Hosting, LLM Inference ) **Overview** At Capital One, we are creating responsible and reliable AI systems , changing banking for good. For ... cost, latency, throughput - of large scale production AI systems . + Contribute to the technical vision and the...and supporting AI services + Experience developing AI and ML algorithms or technologies (eg LLM Inference ,… more
- Snap Inc. (San Francisco, CA)
- …role in scaling our ML Infrastructure, optimizing AI training and inference systems , and driving innovations that make Snapchat's ranking and recommendation ... more efficient and impactful. We're looking for a Software Engineer , ML Infrastructure to join Snap Inc!...models for content ranking and recommendations + Develop high-performance inference systems to ensure fast and efficient… more
- DoorDash (San Francisco, CA)
- …large-scale, high-QPS ML serving systems . + Bring deep familiarity with ML inference and serving ecosystems. + Know how to leverage and extend ... About the Role We're looking for a Staff Software Engineer with deep expertise in ML model...model serving to drive the next generation of our inference platform. This is a highly technical, hands-on role:… more
- Meta (Menlo Park, CA)
- …generation hardware software codesign for AI domain specific problems. **Required Skills:** Software Engineer , Systems ML - Frameworks / Compilers / Kernels ... be a member of the MTIA (Meta Training & Inference Accelerator) Software team and part of the bigger...a highly flexible platform to train & serve new DL/ ML model architectures, combined with auto-tuned high performance for… more
- General Motors (San Francisco, CA)
- **Job Description** **Senior AI/ ML Tooling Engineer ** Role: We are looking for an ML tooling engineer to build tools to analyze and optimize ... distillation, training, and inference of ML models. You will develop...by leveraging state of the art tools like Nsight Systems , PyTorch, etc. The Autonomous Vehicle (AV) software stack… more
- Amazon (San Francisco, CA)
- …own the ML platform and care about designing scalable and easy-to-use ML development environments and systems for our consumers. Experimentation is our ... development experience - Experience designing and building scalable and easy-to-use ML infrastructure systems - Experience productionizing, scaling or extending… more
- Amazon (San Francisco, CA)
- …extensive experience building distributed systems and ability to learn specifics of ML systems . - Knowledge and experience in Cloud technologies (eg AWS, ... for them. Twitch is looking for a Senior Software Engineer to join our Machine Learning Infrastructure team. You... platform and care about designing scalable and easy-to-use ML development environments and systems for our… more
- Autodesk (San Francisco, CA)
- …If you're passionate about solving ambiguous business problems and building scalable ML systems -even if you don't meet every qualification-we encourage you ... ML platforms (AWS, Azure) and MLOps practices. Experience with personalization systems and real-time inference pipelines. Why Autodesk? Work on high-impact… more
- DoorDash (San Francisco, CA)
- …or other quantitative field + Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based. Additional ... for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power… more
- DoorDash (San Francisco, CA)
- …Learning Engineer on the team, you'll design and deploy production ML systems that drive decision-making across Dasher acquisition, incentives, and ... optimal spend across acquisition, referrals, and retention. + Platformization of ML systems to standardize forecasting, monitoring, and experimentation at… more
- GE HealthCare (San Francisco, CA)
- …systems . + Strong debugging and performance profiling skills. + Experience with AI/ ML integration or development within software systems is highly preferred. ... disease detection, using AI to assist in conducting ultrasound scans. The Software Engineer helps port machine learning models into our cross-platform SDK. This role… more
- Genentech (South San Francisco, CA)
- …scale and optimise workflows. We also work on scaling up model training and inference , evaluating the quality of AI/ ML models and output, and building impactful ... in between. You'll build, own, and constantly improve scalable AI/ ML based systems that unlock the potential... Engineer ); 12+ years (Senior Principal Machine Learning Engineer ). + Strong proficiency with AI/ ML frameworks,… more
- Amazon (San Francisco, CA)
- …Experience working directly with research teams - Track record of building robust monitoring systems - Experience with large-scale ML serving systems Amazon ... foundation models run at production scale. As a Senior Machine Learning Engineer embedded in our science team, you'll be instrumental in transforming cutting-edge… more
- Amazon (San Francisco, CA)
- …and ML orchestration tools * Proven track record of improving ML systems , performance, and workflows Preferred Qualifications * Experience building and ... the digital world. We are seeking a Machine Learning Engineer who combines strong ML expertise with...machine learning models, frameworks, and data pipelines * Optimize ML training, inference , and evaluation workflows for… more
- Autodesk (San Francisco, CA)
- …+ Design, build, and maintain highly scalable, low-latency data pipelines supporting real-time ML inference and personalization. + Build data pipelines for RAG ... and recommendation engines. + Develop sophisticated data models optimized for ML training, real-time inference , and analytics workloads. + Implement… more
- DoorDash (San Francisco, CA)
- …Platform team develops an industry-leading platform that enables data scientists, ML engineers and non-technical users to design, run and analyze experiments ... methodologies, machine learning and artificial intelligence technologies and advanced causal inference and data mining techniques + Drive the statistical and … more
- Amazon (San Francisco, CA)
- …extensive experience building distributed systems and ability to learn specifics of ML systems . + Knowledge and experience in Cloud technologies (eg AWS, ... Software Development Engineer @ Twitch San Francisco, CA **About Us**... platform and care about designing scalable and easy-to-use ML development environments and systems for our… more
- Genentech (South San Francisco, CA)
- …scale and optimise workflows. We also work on scaling up model training and inference , evaluating the quality of AI/ ML models and output, and building impactful ... meet the scientific needs. **The Opportunity:** As a software engineer in AI Enablement with a focus on full...in between. You'll build, own, and constantly improve scalable AI/ ML based systems that unlock the potential… more
- DoorDash (San Francisco, CA)
- …Data Science, and Engineering teams to design experiments, model frameworks, and production ML systems that directly impact DashPass subscriber growth metrics. + ... the Role We're looking for a Staff Machine Learning Engineer to drive the design and development of large-scale...through influence, not management. + Build and deploy 0→1 ML systems that improve subscriber outcomes and… more
- Autodesk (San Francisco, CA)
- …and network software or specialized utility programs. Design and engineer software systems part of the next generation Autodesk ML Platform to support full ... the team. Identify opportunities to automate and streamline processes to improve ML development. Build end-to-end systems to automate time-consuming processes… more