- CoStar Realty Information, Inc. (Sunnyvale, CA)
- Staff Machine Learning R&D Engineer Job Description CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, ... world. Our groundbreaking spatial computing platform turns buildings into data making every space more valuable and accessible. Millions...**About the Role:** As a **Staff Machine Learning R&D Engineer ** at Matterport, a part of CoStar Group, you… more
- Genentech (South San Francisco, CA)
- …through AI-powered development tools and environments. Ideally, you are a full-stack software engineer or data engineer with domain knowledge in biology, ... in the Solutions Engineering capability, you will work closely with colleagues such as Data Engineers, Product Leaders, and Tech/ ML Ops as well as directly with… more
- DoorDash (San Francisco, CA)
- …consumer experience, and marketplace balance. We leverage artificial intelligence and advanced ML , deep learning techniques to power decision-making in real time - ... the Role We're looking for a Staff Machine Learning Engineer to serve as the technical lead driving the...technical lead driving the design and development of large-scale ML /optimization systems within the Ads Delivery funnel. In this… more
- General Motors (Sacramento, CA)
- …(NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering + **Cloud & Big Data Platforms : (Preferred** Microsoft Azure ( Data Lake, Machine Learning, ... models. As the AV Behavior and AI Safety Principal Engineer , you will need to stay current on industry...strategy for engineering development teams that are focused on AI/ ML and following through on implementation and validation of… more
- JPMorgan Chase (Palo Alto, CA)
- …optimize infrastructure usage and costs + Design and develop scalable AIOps solutions to support AI/ ML and Data Platforms + Implement data pipelines and ... Analytics Office), we drive our firm's strategic investments in AI/ ML and data -oriented tools and capabilities. Our...reliability for CDAO-hosted managed services. As a Principal Software Engineer (Cloud Platforms ) at JPMorgan Chase within… more
- LinkedIn (Mountain View, CA)
- …models, to computer vision models. We optimize performance across algorithms, AI frameworks, data infra, compute software, and hardware to harness the power of our ... billions of user queries Model Training Infrastructure: As an engineer on the AI Training Infra team, you will...use cases. You will design and implement high performance data I/O, work with open source teams to identify… more
- LinkedIn (Mountain View, CA)
- …models, to computer vision models. We optimize performance across algorithms, AI frameworks, data infra, compute software, and hardware to harness the power of our ... billions of user queries. Model Training Infrastructure: As an engineer on the AI Training Infra team, you will...use cases. You will design and implement high performance data I/O, work with open source teams to identify… more
- Google (Mountain View, CA)
- …related resource-constrained ML field. + 3 years of experience with ML infrastructure (eg, model deployment, optimization, data processing) or algorithmic ... Software Engineer , Motion and AI Algorithms, Android Ecosystem _corporate_fare_...related technical field. + 5 years of experience with data structures/algorithms, specifically involving spatial algorithms or complex … more
- Walmart (Sunnyvale, CA)
- …**Key Responsibilities** + Define and drive the architectural vision for enterprise-scale platforms , with a strong emphasis on **AI/ ML integration, agentic ... solutions that deliver scale, performance, and security. + Collaborate closely with data scientists, ML engineers, and product teams to **operationalize AI/… more
- Walmart (Sunnyvale, CA)
- …model training, deployment, and monitoring. + Architect and implement scalable ML pipelines and infrastructure, leveraging modern cloud platforms (eg, ... **What you'll do ** As a Principal Machine Learning Engineer , you will lead the design, development, and deployment...and maintain robust API-based services and distributed systems for ML applications. + Collaborate with data scientists,… more
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