- General Motors (Bellevue, WA)
- …data platform in the cloud and providing powerful foundations for GM ML Data Platform tools, frameworks, and services. Responsibilities include ensuring scalable, ... the development, optimization and productionization of the next generation ML data processing platform using Beam and Spark in...capabilities to help customers to adopt the next generation ML data processing platform + Use the latest cloud… more
- Oracle (Nashville, TN)
- …We are seeking a Principal Software Developer (IC4) with deep expertise in AI/ ML system design, large-scale data engineering, and applied intelligence to help drive ... operating at OCI's hyperscale. **Responsibilities** + Design and build distributed AI/ ML services that enable anomaly detection, event correlation, RCA prediction,… more
- Amazon (San Francisco, CA)
- …* Serve as the bridge between traditional systems engineering and ML infrastructure, bringing enterprise-grade reliability to research computing About the team ... into robust, scalable infrastructure solutions. Our team has deep expertise in ML framework internals and GPU optimization, but we're also pragmatic systems… more
- Target (Sunnyvale, CA)
- …Data Sciences team of more than 5,000 software engineers, applied data scientists, ML engineers and product managers striving to make Target the most convenient, ... + Highly proficient programming in Python + Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn, and...and ONNX + Experience with one or more cloud ML services such as Vertex AI, Azure ML… more
- DoorDash (San Francisco, CA)
- …team, you will take ownership of major projects within our ML Training Platform-creating reliable, extensible solutions for data transformations, distributed model ... training, and rapid experimentation in production. You'll collaborate closely with ML Engineers, Platform & Infra engineers, and partner teams to ensure our platform… more
- JPMorgan Chase (New York, NY)
- …risk and extend liquidity in markets around the world. As an Applied AI/ ML Engineer, you will be responsible for designing, developing, and deploying cutting-edge AI ... and drive data-driven decision-making. + Ensure the scalability and reliability of AI/ ML solutions in a production environment. + Stay up-to-date with the latest… more
- Stanford Health Care (Palo Alto, CA)
- …designed to bring Artificial Intelligence (AI), and other emerging machine learning ( ML ) based innovations in data science into healthcare and will partner closely ... bring Artificial Intelligence (AI), predictive algorithms and other emerging machine learning ( ML ) based innovations in data science into healthcare and will partner… more
- BAE Systems (San Diego, CA)
- …a part of? Come build your career with us. We re seeking a experienced AI/ ML Software Engineer to embed and streamline various models within the workflows of our ... teams. In this role you ll collaborate closely with ML scientists, engineers, and gameteam partners to scale our...The primary goal is to elevate the team s AI/ ML efforts through the right tooling, automation, and best… more
- JPMorgan Chase (Jersey City, NJ)
- …about leveraging advanced technology to solve complex business challenges? As an applied AI/ ML , you will have the opportunity to shape the future of document ... to innovate, lead, and make a difference across the organization. As an Applied AI/ ML lead in the Digital Document Management team, you will design, develop, and… more
- pony.ai (Fremont, CA)
- …autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and ... deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies...and efficient deep learning techniques to models and optimized ML operator libraries. + Work across the entire … more