10 technical officer jobs found in Mountain View, CA

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. 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...

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...

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...

S * * o f * * t w * * a r * * e E * * n g * * i n * * e e * * r , * * E a * * r l * * y S * * t a * * g e * * P r * * o j * * e c * * t Software Engineering Mountain View, CA (HQ) About X: X is Alphabet's moonshot factory with a mission of inventing and launching "moonshot" technologies that could someday make the world a radically better place. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world's most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup. As an innovation engine, X focuses on repeatedly turning breakthrough-technology ideas into the foundations for large, sustainable businesses. About the team: We're a small, passionate and driven team of experienced ML researchers,...

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. Description 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...

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...

Software EngineeringMountain View, CA (HQ) About X: X is Alphabet’s moonshot factory with a mission of inventing and launching “moonshot” technologies that could someday make the world a radically better place. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup. As an innovation engine, X focuses on repeatedly turning breakthrough-technology ideas into the foundations for large, sustainable businesses. About the team: We're a small, passionate and driven team of experienced ML researchers, software engineers and product managers on a mission to make the practice of law radically more efficient and accurate. Our project is focusing on de-risking our...

Lab Summary Digital Health Lab is the U.S. branch of the Samsung Global Health Services business. We have product management, researcher, UX, user research, data scientists, and software engineering co-located to create the future of wellness and clinical care using user-centric design thinking and agile designer-developer workflow. Position Summary This is an exciting opportunity for a talented and hard-working Machine Learning Engineer who is interested in taking concepts through various stages of prototyping with increasing levels of fidelity, making our experiences real and exposing them to users to make them great. Position Responsibilities Design, build, and optimize machine learning models for recommendation systems Implement algorithms such as supervised learning, unsupervised learning, reinforcement learning, and deep learning for health applications Collect, clean, and preprocess large datasets for model training. Develop robust algorithms to extract...

Company Description LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Our team, UX Engineering, is passionate about every pixel. At the...

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 LinkedIn. 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. LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where...