38 jobs found in Sunnyvale

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for General Motors. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. 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...

Job Description A large global retailer is seeking a talented and experienced Senior Machine Learning Engineer. The ideal candidate will have a strong background in machine learning, proficiency in Python, and experience with Generative AI (GenAI), React, Mega Cash, Cashing, and PostgreSQL. This role involves developing and deploying machine learning models, collaborating with cross-functional teams, and contributing to the continuous improvement of our financial products. We are looking for someone who is hands on but can lead a 3-4 member team. Key Responsibilities: Design, develop, and deploy machine learning models to solve complex financial problems. Collaborate with data scientists, software engineers, and product managers to integrate machine learning solutions into our products. Implement and optimize algorithms for real-time data processing and analysis. Develop and maintain scalable data pipelines using PostgreSQL. Utilize Python and GenAI to create...

Job Description 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. Locations: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The Structured Perception team is dedicated to advancing the state-of-the-art in AI for autonomous vehicles, with a specific focus on structured perception outputs (online maps, object tracking capabilities, and handling long-tail scenarios). We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning related to perceiving the environment around the car and enabling responses to those. About the Role: As an intern on the Structurer Perception team, you'll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving...

Summary: Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.The Wearables AI team at Meta works to advance the field of artificial intelligence by making fundamental advances in technologies to help Humans interact with and understand our world. We conduct product-motivated research in ML/AI, develop state-of-the-art algorithms and deploy models to the RayBan | Meta family of smart glasses. We work on most aspects of AI, in on-device and server-side settings. As a Research Scientist Intern, you will help us develop innovative models and algorithms, with a goal of publishing and deploying the outcomes.We are seeking individuals passionate in areas such as deep learning,...

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. Locations: San Francisco, California Sunnyvale, California Mountain View, California About the Team *: * The trajectory generation team (TGX) is responsible for turning scene understanding into wholistic AV behavior. The team must balance multiple competing objectives. Trajectories need to be comfortable for passengers (minimizing jerk and acceleration), obey traffic laws, respect vehicle dynamics constraints (steering limits, acceleration capabilities), avoid obstacles, and respond in real-time to changing road conditions. The TGX team uses state-of-the-art ML, RL, and optimization techniques to...

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. Locations: Mountain View, California Sunnyvale, California We are seeking highly motivated interns to research, explore, and evaluate cutting-edge AI-driven approaches for robot localization/map construction, perception, motion planning, scenario simulation, and data engineering. The role will involve hands-on experimentation, algorithm development, and integration of multi-modal sensor data to advance autonomous robotic systems. About the Team: The Robotics Software team is developing the next generation of autonomous robotic systems, focusing on autonomous mobile robots (AMRs) and intelligent robotic platforms. We...

Summary: We are seeking a Research Intern with a background in Product or Mechanical Design, and Artificial Intelligence to join our Metaverse Display & Optics Engineering team. In this role, you will develop a custom AI product design co-pilot tool, specifically tailored for Display & Optics design in VR and Wearables products. This project aims to significantly enhance productivity and accelerate innovation within Meta's Display & Optics mechanical engineering teams by integrating common design rules, key parameters, materials databases, and Design for Manufacturability (DFM) guidelines into a next-generation, AI-powered design platform.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Required Skills: Research Scientist Intern, AI for Product Design (PhD) Responsibilities: Review and summarize mechanical design common Display & Optics design rules across optical systems, ET/FT,...

Summary: At Meta, we're building products that revolutionize the way people connect, work, and play. Our audio teams are at the forefront of this innovation, developing cutting-edge technologies that redefine the way we experience sound in virtual and augmented worlds.Our teams are dedicated to creating a considerate and honest environment where self-motivated individuals thrive. We encourage ownership, creativity, and collaboration, and we're passionate about making science fiction real.Join us on this adventure: As a member of our audio team, you'll be part of a community that's shaping the future of sound and connection. Together, let's invent the future and change the world. Required Skills: Software Engineer, Audio Responsibilities: Collaborate in a team environment across multiple scientific and engineering disciplines, making the architectural tradeoffs required to rapidly deliver software solutions Create clean readable code, debug complex problems,...

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: Sunnyvale, California About the Team: Offboard perception: Unlike onboard perception, which must run in real time on the AV, offboard perception can leverage larger models, greater compute, and acausal processing to achieve much higher accuracy. These high-accuracy detections support multiple consumers across the organization-for example, powering simulation and generating automated labels used to train onboard models. About the Role: As a Machine Learning Engineering Intern, you will work alongside a world-class team of engineers and researchers on impactful AI/ML projects in robotics and advanced...

Summary: Reality Labs (RL) is responsible for delivering Meta's vision of the next generation of wearable XR systems to enable the next great wave of human-oriented computing. We are seeking a Research Scientist Intern to work with our teams in areas of modeling and analysis of signal and power integrity, focusing on the application of artificial intelligence (AI) and machine learning (ML) techniques. This role will be responsible for developing and implementing AI-driven solutions to model, analyze, optimize, and improve signal and power integrity of complex electronic systems at board, package and die levels. Our internships are twelve (12) to twenty-four (24) weeks long and have various start dates throughout the year. Required Skills: Research Scientist Intern, AI Signal and Power Integrity Responsibilities: Develop and apply AI and ML models to simulate, analyze, and predict signal and power integrity issues in electronic systems Enable AI driven...

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. Locations: San Francisco, California Sunnyvale, California Mountain View, California About the Team *: * The trajectory generation team (TGX) is responsible for turning scene understanding into wholistic AV behavior. The team must balance multiple competing objectives. Trajectories need to be comfortable for passengers (minimizing jerk and acceleration), obey traffic laws, respect vehicle dynamics constraints (steering limits, acceleration capabilities), avoid obstacles, and respond in real-time to changing road conditions. The TGX team uses state-of-the-art ML, RL, and optimization techniques to...

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Amazon. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Description Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. We are breaking new ground with every device we design, from custom silicon to secure software, to enable...

Job Description 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. Locations: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The AI Research organization is dedicated to advancing the state-of-the-art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. About the Role: As an AI/ML Research Intern on the AI Research team, you'll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology. This internship provides experience with real-world AI/ML systems, collaboration with leading researchers and engineers, and mentorship from experienced AV researchers to grow your skills...

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. Locations: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The AI Research organization is dedicated to advancing the state-of-the-art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. About the Role: As a VLM/VLA Research Intern on the AI Research team, you will operate at the frontier of Embodied AI, developing foundational models that bridge the gap between high-level reasoning and physical execution. Your work will focus on advancing...

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. Locations: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The Scaling Foundations team is dedicated to building the ML technologies and cutting edge ML algorithms that enable us to go up the scaling curves for large driving models for building highly performant autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. About the Role: As an AI/ML Engineering Intern on the Model Scaling Foundations team, you'll work on cutting-edge projects advancing...

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. Locations: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The Sensor Encoder team is dedicated to advancing the state-of-the-art in AI for autonomous vehicles, with a specific focus on encoders for camera , lidar and radar . We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning related to sensor data processing. About the Role: As an intern on the sensor encoder team, you'll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models...

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. Locations: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The Scaling Foundations team is dedicated to building the ML technologies and cutting edge ML algorithms that enable us to go up the scaling curves for large driving models for building highly performant autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. About the Role: As an AI/ML Engineering Intern on the Model Scaling Foundations team, you'll work on cutting-edge projects advancing...

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. Locations: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The AI Research organization is dedicated to advancing the state-of-the-art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. About the Role: As a VLM/VLA Research Intern on the AI Research team, you will operate at the frontier of Embodied AI, developing foundational models that bridge the gap between high-level reasoning and physical execution. Your work will focus on advancing...

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...

Meta is seeking experienced Partner Engineers to join the Scaled Operations AI Accelerator Team. This team is responsible for rapidly designing, developing, and deploying AI-powered automation solutions that transform operational processes and drive efficiency at scale. As a Partner Engineer, you will play a pivotal role in building and implementing innovative solutions using AI technologies, collaborating across functions, and directing the work of contractor and/or vendor workers to deliver measurable impact across Scaled Operations. Partner Engineer, Scaled Ops AI Acceleration Team Responsibilities: Design, develop, deploy, and maintain AI-powered automation solutions to optimize and automate key operational processes Rapidly prototype, iterate, and implement technical solutions that drive full-time employee efficiency using AI technologies Collaborate with process owners, architects, product managers, and cross-functional teams to identify high-impact...

Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to the office in [Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale] a minimum of 3 days per week. This position can be considered Remote if the successful candidate is in the Seattle, Washington area. About Us The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM - how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain. The Role We are looking for a Senior Engineer with an...

Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to the office in [Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale] a minimum of 3 days per week. This position can be considered Remote if the successful candidate is in the Seattle, Washington area. About Us The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM - how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain. The Role We are looking for a Senior Engineer with an...

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 office up to three times per week or as determined by the team. Location s * * (in priority order): Sunnyvale, California Mountain View, California About The Role: As a Simulation intern, you'll partner with senior engineers to design, build, and launch real...

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...