7 lead machine learning engineer jobs found in Sunnyvale

The pay range is $128,000.00 - $277,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits. JOIN TARGET AS A LEAD MACHINE LEARNING ENGINEER About Us: Working at Target means...

Job Description To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Location s * * (in priority order): Sunnyvale, California Mountain View, California Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. About the Role: As a Simulation Test Engineering AI/ML Software Engineer intern, you'll partner with senior engineers to develop, evaluate, and deploy AI/ML tools to scale the development of end-to-end simulation tests, which are used by GM for validation of the autonomous driving software stack. You'll learn about how simulation testing is performed at GM to evaluate AV stack performance, and your work will play a critical role in managing the creation and quality of these simulation tests throughout their lifecycle. About the...

Job Description To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Location s * * (in priority order): Sunnyvale, California Mountain View, California Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. About the Role: As a Simulation Test Engineering AI/ML Software Engineer intern, you'll partner with senior engineers to develop, evaluate, and deploy AI/ML tools to scale the development of end-to-end simulation tests, which are used by GM for validation of the autonomous driving software stack. You'll learn about how simulation testing is performed at GM to evaluate AV stack performance, and your work will play a critical role in managing the creation and quality of these simulation tests throughout their lifecycle. About the...

Job Description GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the Mountain View, CA or Sunnyvale, CA office up to three times per week or as determined by the team. Locations: Mt. View, California Sunnyvale, California About the Team: The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous...

Job Description GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of the relocation stipend if you are selected and eligible, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. Location: San Francisco, California Sunnyvale, California Mountain View, California Seattle, Washington About the Team *: * We are building a state-of-the-art AI training...

Job Description About the Team *: * We are building a state-of-the-art AI training platform in close collaboration with model teams to deliver Autonomous car milestones, maximizing model flop utilization and iteration speed, and enhancing inference systems. We are augmenting training, data processing, evaluation and the deployment loop with a data flywheel to validate performance and continuously improve Autonomous driving and Active Safety. We accelerate compute performance through architectural changes and low-level optimizations, informed by advanced Carbench/HIL platforms, AI tooling and workflows and instrumentation built in-house. We streamline compiler/build and modelbench performance; enhance data processing, preprocessing, and batch inference; and improve monitoring and availability to increase velocity and quality. Work Arrang ement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three...

Job Description To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. Location s: Sunnyvale, California Mountain View, California About the Team: The Simulation group builds artificial intelligence (AI) and machine learning (ML) models that power realistic environments for testing and training advanced systems. These simulations generate diverse scenarios that help validate and improve decision-making policies across robotics, autonomous systems, and other AI-driven applications. Think of Simulation as a virtual training ground where complex systems learn to operate safely and effectively. The team develops AI/ML models that control simulated entities-whether vehicles, robots, or...