Research Internship jobs at Waymo - 20 jobs

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. You will: * Solve research problems related to scene reconstruction and understanding from real-world scenarios, leveraging geometric foundation models and/or vision-language foundation models * Prototype and iterate on various research ideas using Waymo's internal driving data * Present research findings to a wide audience within Waymo, with the possibility of publishing results to the research community You have: * Currently pursuing a PhD degree in computer science or a related technical field * Hands-on computer vision and machine learning experience (prior internships or coursework) * Related publications in major conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICLR, etc) or ongoing research projects in this area * Strong software engineering skills (Python, C++) We prefer: * Prior experience in feed-forward scene reconstruction methods (e.g., VGGT) and vision-language foundation models * Ability to rapidly prototype research ideas in deep learning frameworks (e.g. TensorFlow, PyTorch, JAX) General Perks: * Help solve challenging problems with a direct impact on the company * Competitive compensation packages with a housing/relocation bonus (if applicable) * Medical, dental, and vision insurance * Fun intern events and networking opportunities Onsite Perks: * Free breakfast, lunch, dinner, and snacks * Free access to Google shuttles * Onsite gym Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. At Waymo, we don't just accept differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85-$85 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

The Experience Team collaborates across Zoox to define and champion the “Human Experience”. We embrace a human-centered design process that is collaborative, data-driven, and iterative. We are growing a team of exceptional people to help invent and design unique solutions. We'll address new challenges around AI and define interaction paradigms to advance human experience through design. If you live and breathe design, if you care about the impact of technology in our society, if you can't stop thinking about how to help improve people's lives, and you want to work on some of the most exciting design challenges of our times to inspire and enable a better future, get in touch! We are looking for a Human Computer Interaction Research Intern to join our Experience Research workstream. The ideal candidate is a passionate creative thinker, who is eager to learn and solve challenging problems. You will be involved in all design and development of vehicle human-to-system interfaces in an integrated and collaborative fashion, supporting design, development, and preparation of deliverables.In this Role, You Will... Work closely with designers, researchers, engineers, and product managers to identify research needs and develop research strategies Design, plan and execute research activities including but not limited to: field studies, interviews, participatory design, interaction analysis and analogous research Communicate research findings in a clear and meaningful manner to key stakeholders Synthesize research insights and actionable recommendations to inform product decisions Qualifications Masters and/or Ph.D. in Human Computer Interaction (HCI), Human Robot Interaction(HRI) or Human Factors(HF) Research Experience applying human-centered design and design thinking principles Experience with a wide variety of design research methodologies including but not limited to: field observation, interviews, participatory design, interaction analysis and analogous research Experience creating user profiles and persona (strategic). Passion for exploring emerging technologies and making a positive impact on customers' lives through your work Bonus Qualifications Experience in tech industry Experience in Automotive and AV industries, or TNC (Transportation Network Company) HF, HRI and HCI related works CompensationThe monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend.

The Experience Team collaborates across Zoox to define and champion the "Human Experience". We embrace a human-centered design process that is collaborative, data-driven, and iterative. We are growing a team of exceptional people to help invent and design unique solutions. We'll address new challenges around AI and define interaction paradigms to advance human experience through design. If you live and breathe design, if you care about the impact of technology in our society, if you can't stop thinking about how to help improve people's lives, and you want to work on some of the most exciting design challenges of our times to inspire and enable a better future, get in touch! We are looking for a Human Computer Interaction Research Intern to join our Experience Research workstream. The ideal candidate is a passionate creative thinker, who is eager to learn and solve challenging problems. You will be involved in all design and development of vehicle human-to-system interfaces in an integrated and collaborative fashion, supporting design, development, and preparation of deliverables. In this Role, You Will... * Work closely with designers, researchers, engineers, and product managers to identify research needs and develop research strategies * Design, plan and execute research activities including but not limited to: field studies, interviews, participatory design, interaction analysis and analogous research * Communicate research findings in a clear and meaningful manner to key stakeholders * Synthesize research insights and actionable recommendations to inform product decisions Qualifications * Masters and/or Ph.D. in Human Computer Interaction (HCI), Human Robot Interaction(HRI) or Human Factors(HF) Research * Experience applying human-centered design and design thinking principles * Experience with a wide variety of design research methodologies including but not limited to: field observation, interviews, participatory design, interaction analysis and analogous research * Experience creating user profiles and persona (strategic). * Passion for exploring emerging technologies and making a positive impact on customers' lives through your work Bonus Qualifications * Experience in tech industry * Experience in Automotive and AV industries, or TNC (Transportation Network Company) * HF, HRI and HCI related works Compensation The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. You will: * Frame open-ended, real-world problems into well-defined AI problems. * Develop and apply cutting-edge ML approaches to these problems. * Scale your methods to Alphabet-sized data and potentially streamline them to run in real-time on cars. * Aim to publish findings in academic conferences and journals. You have: * Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Robotics, or a similar technical field of study. * Experience solving problems using cutting-edge AI tech stacks. * Ability to collaborate within and across teams. * Strong experience programming in Python and deep learning frameworks such as JAX and/or PyTorch. We prefer: * Strong track record of high quality ML research, for example, demonstrated by conference publications in venues such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, CoRL, etc. * Experience specifically with pre-training and/or post-training LLMs, agentic AI, computer vision, or representation learning. General Perks: * Help solve challenging problems with a direct impact on the company * Competitive compensation packages with a housing/relocation bonus (if applicable) * Medical, dental, and vision insurance * Fun intern events and networking opportunities Onsite Perks: * Free breakfast, lunch, dinner, and snacks * Free access to Google shuttles * Onsite gym Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. At Waymo, we don't just accept differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85-$85 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do. Zoox's internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry's brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox's mission. This internship opportunity is within the Business Processes & Enterprise Data Governance team. The team focuses on building scalable, trusted, and well-governed data foundations across manufacturing, supply chain, and engineering systems to support Zoox's autonomous vehicle production and operations. Interns on this team will work on data cataloging, data governance, and data enablement initiatives. The intern will research and assess current data cataloging and metadata capabilities at Zoox (including platforms such as Databricks and other internal tools), identify gaps and opportunities, and help articulate how these capabilities can better support the organization. In addition, the intern will contribute to foundational data education efforts, helping document and socialize core concepts such as data management, data governance, data lineage, data quality, and data ownership across technical and non-technical stakeholders. This role offers exposure to enterprise-scale data platforms and the opportunity to influence how teams discover, understand, and trust data. Program Requirements * Currently pursuing a B.S. or M.S. in Computer Science, Data Engineering, Information Systems, Business Analytics, Industrial Engineering, or a related field * Plan to return to school after completing the internship. * Maintain good academic standing. * Available to commit to a 12-week internship beginning in May or June 2026. * At least one prior industry internship, co-op, or relevant project experience. * Willing and able to relocate to the Bay Area, California, for the duration of the internship. * Interns may not use proprietary Zoox information in university theses, publications, or share it outside of Zoox. Qualifications * Strong interest in data platforms, data management, and enterprise systems * Familiarity with basic data concepts (datasets, schemas, metadata, lineage, or analytics) * Comfortable working with structured data and documentation (e.g., SQL basics, Python, notebooks, or technical writing) * Strong analytical and research skills, with the ability to synthesize findings into clear recommendations * Clear written and verbal communication skills; comfortable explaining technical concepts to diverse audiences Bonus Qualifications * Exposure to data cataloging, metadata management, or governance tools (e.g., Databricks, Collibra, Alation, DataHub) * Familiarity with cloud data platforms (AWS, Databricks, Snowflake, etc.) * Prior coursework or projects in data governance, data architecture, or information management * Experience creating documentation, diagrams, or educational material Compensation: The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. In this hybrid role you will report to a Technical Lead Manager. You will: * Own tasks in the ML Driver, take responsibility for task scaling and task performance, create ML methods and recipes to scale and improve tasks. * Analyze behavior of ML systems in real-world application, identify issues and root causes, advise or develop short- and long-term solutions. * Monitor ML systems in production, develop methods for automatically detecting issues or regressions, develop AI-aided analysis and debugging tooling. * Develop and maintain metrics for ADV relevant issues, including safety-critical and longtail issues. You have: * Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience * 3+ years experience in Machine Learning and Computer Vision * Experience with Python * Experience with ML frameworks like PyTorch or JAX We prefer: * MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline * Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI * Experience with C++ The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. You will: * Design, implement, and optimize large-scale continual pre-training pipelines for cutting-edge VLM foundation models. * Conduct research and development on novel pre-training techniques, focusing on efficiently integrating new, diverse, and multimodal data streams (e.g., visual data from different sensors) into existing models. * Develop and rigorously evaluate metrics and methodologies for measuring the performance, and transferability of continually pre-trained foundation models in the context of autonomous driving. * Stay current with the latest advancements in large language models, vision-language models, and continual learning, and translate relevant research into production-ready systems. You have: * 5+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models). * Proven expertise in LLM/VLM pre-training, continual learning with large scale datasets. * Strong coding proficiency in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch). * Hands-on experience with model training, evaluation, and deployment in a production environment. * Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience. We prefer: * Experience in fine-tuning foundation models for autonomous driving or robotics applications * Familiarity with large-scale data curation and quality assurance processes for multimodal datasets. * Background in autonomous vehicle perception, motion planning, or decision-making systems. * Publications in top-tier machine learning or computer vision conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV). * PhD in a relevant field. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. You will: * Design, implement, and optimize large-scale continual pre-training pipelines for cutting-edge VLM foundation models. * Conduct research and development on novel pre-training techniques, focusing on efficiently integrating new, diverse, and multimodal data streams (e.g., visual data from different sensors) into existing models. * Develop and rigorously evaluate metrics and methodologies for measuring the performance, and transferability of continually pre-trained foundation models in the context of autonomous driving. * Stay current with the latest advancements in large language models, vision-language models, and continual learning, and translate relevant research into production-ready systems. You have: * 5+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models). * Proven expertise in LLM/VLM pre-training, continual learning with large scale datasets. * Strong coding proficiency in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch). * Hands-on experience with model training, evaluation, and deployment in a production environment. * Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience. We prefer: * Experience in fine-tuning foundation models for autonomous driving or robotics applications * Familiarity with large-scale data curation and quality assurance processes for multimodal datasets. * Background in autonomous vehicle perception, motion planning, or decision-making systems. * Publications in top-tier machine learning or computer vision conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV). * PhD in a relevant field. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do. Zoox's internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry's brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox's mission. This internship opportunity is within the Hardware Reliability team, which focuses on building the data infrastructure and analytical capabilities that ensure our autonomous vehicle fleet operates safely and reliably. Interns on this team will have the chance to work on developing data pipelines, performing reliability analyses, and creating visualization tools that directly support Zoox's mission to bring autonomous urban mobility to reality, gaining valuable experience and insight into how data science drives hardware reliability decisions in cutting-edge autonomous vehicle technology. Program Requirements * Currently pursuing a B.S., M.S., or other advanced degree in Engineering, Statistics, Applied Mathematics, Data Science, or related field * Plan to return to school after completing the internship. * Maintain good academic standing. * Available to commit to a 12-week internship beginning in May or June 2026. * At least one prior industry internship, co-op, or relevant project experience. * Willing and able to relocate to the Bay Area, California, for the duration of the internship. * Interns may not use proprietary Zoox information in university theses, publications, or share it outside of Zoox. Qualifications * Coursework or project experience in data analysis and visualization techniques * Working knowledge of SQL and database concepts * Working knowledge of Python and applicable packages such as Pandas, Numpy and Scipy * Familiarity with version control systems (Git) * Strong communication and collaboration skills * Ability to work on-site in Foster City, CA Bonus Qualifications * Coursework or experience in reliability engineering or statistical inference techniques * Experience with Spark or large-scale data analysis * Familiarity with Databricks * Experience mining Jira or similar project management tools for data * Automotive or hardware reliability interest/experience * Understanding of failure mechanisms and damage models * Exposure to prognostic health monitoring concepts * Machine learning experience (supervised/unsupervised learning, model training and evaluation) Compensation: The monthly salary range for this position is $6,500 to $7,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between Fall 2026 through Spring 2028. Rivian's Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering Qualifications Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between Fall 2026 through Spring 2028. Rivian's Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering Qualifications Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. As a Data Scientist Intern, you may be assigned to one of the following teams: On the Autonomy Software V&V team, you will work on fleet metrics, behavior analysis, and performance evaluation of our autonomous vehicles. Analyze real-world driving data to identify patterns, measure autonomy performance, and inform stack improvements. Contribute to metrics platforms that track miles-per-disengagement, driving behavior clusters (PUDO, lane changes, pullovers), and safety-critical events across our L3 development and production service fleets. On the Core Data Science team, you will provide data solutions to deliver domain specific analytical insights. In this role, you will have the opportunity to perform data analysis to develop and validate the simulation framework evaluating Zoox's autonomous driving software. You collaborate with key stakeholders in the Simulation team to gain insight into the safety and comfort performance of our robotaxi. This internship will provide you with hands-on experience in building performance metrics and conducting in-depth data analyses, contributing to data-driven decision-making within the cutting-edge field of autonomous vehicles. Requirements: Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant Statistics, Computer Science, Data Science or related field Must be returning to school to continue your education upon completing this internship Good academic standing Able to commit to a 12-week internship beginning in May or June of 2026 At least one previous industry internship, co-op, or project completed in a relevant area Ability to relocate to the Bay Area, California or Boston for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications (It's helpful if you meet a majority of the following qualifications, but it isn't a requirement): Strong programming skills in Python Proficiency in SQL Experience with data analysis and processing libraries such as pandas and NumPy Experience with statistical analysis and data visualization Understanding of experimental design and A/B testing Strong data modeling skills Good experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake, …) and distributed data processing platforms (e.g. Spark, Delta lake) Bonus Qualifications: Experience with autonomous vehicle metrics or robotics data Knowledge of causal inference and time-series analysis Familiarity with Databricks, Spark, or distributed computing Experience building dashboards and data visualizations Understanding of autonomous driving concepts (disengagements, ODD, safety metrics) Publications or coursework in robotics, autonomous systems, or related areas Compensation:The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. As a Data Scientist Intern, you may be assigned to one of the following teams: On the Autonomy Software V&V team, you will work on fleet metrics, behavior analysis, and performance evaluation of our autonomous vehicles. Analyze real-world driving data to identify patterns, measure autonomy performance, and inform stack improvements. Contribute to metrics platforms that track miles-per-disengagement, driving behavior clusters (PUDO, lane changes, pullovers), and safety-critical events across our L3 development and production service fleets. On the Core Data Science team, you will provide data solutions to deliver domain specific analytical insights. In this role, you will have the opportunity to perform data analysis to develop and validate the simulation framework evaluating Zoox's autonomous driving software. You collaborate with key stakeholders in the Simulation team to gain insight into the safety and comfort performance of our robotaxi. This internship will provide you with hands-on experience in building performance metrics and conducting in-depth data analyses, contributing to data-driven decision-making within the cutting-edge field of autonomous vehicles. Requirements: * Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant Statistics, Computer Science, Data Science or related field * Must be returning to school to continue your education upon completing this internship * Good academic standing * Able to commit to a 12-week internship beginning in May or June of 2026 * At least one previous industry internship, co-op, or project completed in a relevant area * Ability to relocate to the Bay Area, California or Boston for the duration of the internship * Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications (It's helpful if you meet a majority of the following qualifications, but it isn't a requirement): * Strong programming skills in Python * Proficiency in SQL * Experience with data analysis and processing libraries such as pandas and NumPy * Experience with statistical analysis and data visualization * Understanding of experimental design and A/B testing * Strong data modeling skills * Good experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake, …) and distributed data processing platforms (e.g. Spark, Delta lake) Bonus Qualifications: * Experience with autonomous vehicle metrics or robotics data * Knowledge of causal inference and time-series analysis * Familiarity with Databricks, Spark, or distributed computing * Experience building dashboards and data visualizations * Understanding of autonomous driving concepts (disengagements, ODD, safety metrics) * Publications or coursework in robotics, autonomous systems, or related areas Compensation: The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox is looking for an intern to gain hands-on experience across the full recruiting lifecycle and various talent programs. The intern will support day-to-day recruiting activities, contribute to process improvements, and participate in strategic projects that shape how we attract and hire talent. This internship will build a strong foundation in recruiting strategies, programs, and best practices, while developing skills applicable to a future career in talent acquisition or HR.In this Role, You Will... Conduct research to identify talent trends, sourcing channels, and competitive insights to inform recruiting and talent program strategies Support the planning and execution of talent programs such as internships, candidate events, and internal mobility initiatives. Collaborate cross-functionally with teams across Talent, People Experience, and business functions to coordinate program logistics and share insights Contribute to process improvements by analyzing workflows, gathering feedback, and helping implement scalable solutions across recruiting and talent programs Requirements Currently working towards a Bachelor's in a relevant business program Must be returning to school to continue your education upon completing this internship Good academic standing Able to commit to a 12-week internship beginning in May or June of 2026 Ability to relocate to a city near Foster City, California for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications Curiosity and willingness to learn about recruiting, talent programs, and people processes Detail-oriented and organized, with the ability to manage multiple tasks and follow through on commitments Collaborative mindset with strong communication skills and comfort working across teams and functions Analytical thinker who enjoys improving processes and finding practical ways to make work more efficient Proactive, resourceful, and able to take initiative in a fast-paced, dynamic environment CompensationThe monthly salary range for this position is $5,500 to $7,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend. About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox is looking for an intern to gain hands-on experience across the full recruiting lifecycle and various talent programs. The intern will support day-to-day recruiting activities, contribute to process improvements, and participate in strategic projects that shape how we attract and hire talent. This internship will build a strong foundation in recruiting strategies, programs, and best practices, while developing skills applicable to a future career in talent acquisition or HR. In this Role, You Will... * Conduct research to identify talent trends, sourcing channels, and competitive insights to inform recruiting and talent program strategies * Support the planning and execution of talent programs such as internships, candidate events, and internal mobility initiatives. * Collaborate cross-functionally with teams across Talent, People Experience, and business functions to coordinate program logistics and share insights * Contribute to process improvements by analyzing workflows, gathering feedback, and helping implement scalable solutions across recruiting and talent programs Requirements * Currently working towards a Bachelor's in a relevant business program * Must be returning to school to continue your education upon completing this internship * Good academic standing * Able to commit to a 12-week internship beginning in May or June of 2026 * Ability to relocate to a city near Foster City, California for the duration of the internship * Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications * Curiosity and willingness to learn about recruiting, talent programs, and people processes * Detail-oriented and organized, with the ability to manage multiple tasks and follow through on commitments * Collaborative mindset with strong communication skills and comfort working across teams and functions * Analytical thinker who enjoys improving processes and finding practical ways to make work more efficient * Proactive, resourceful, and able to take initiative in a fast-paced, dynamic environment Compensation The monthly salary range for this position is $5,500 to $7,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft's Marketing & Communications team is dedicated to building an iconic brand for the future while driving profitable growth today. Our customer-obsessed approach ensures that we deliver brand love, loyalty, and exceptional value to both drivers and riders. We are committed to doing the best work of our careers, fostering innovation, and delivering exceptional results that shape the future of transportation. To achieve these goals, we are looking for experienced MBA interns to join our Global Growth, Rideshare, and Lyft Ads marketing teams that can help shape strategic thinking in a high-growth business area, build highly cross-functional go-to-market strategies and campaigns, and optimize approaches with insights and learnings that support customer adoption, growth, and retention. The ideal candidate will have strong business acumen and a background in marketing, including a track record of developing impactful marketing strategies and a proven ability to build key cross-functional relationships. Experience in the travel and hospitality space or with a marketplace business is a plus, as is experience in B2B or Ads marketing. Responsibilities: Support the team in shaping marketing strategy and high-impact go-to-markets for business growth areas, rooted in target customer insights. Be the voice of the customer to influence cross-functional thinking and continually assess our market and strategy to meet customer needs. Build a broad understanding of existing research and competitive landscape, identify gaps, and surface actionable insights that can inform product and marketing strategy. Partner with cross-functional teams such as Product, User Research, Sales, Partnerships, to ensure our marketing approach delivers against business objectives. Write inspiring creative briefs and shepherd the creative development process. Experience: Currently enrolled in a full-time MBA program with a graduation date between December 2026 and Summer 2027 (required), with 3-5 years of prior work experience Prior experience in management consulting or applicable fields are welcome Experience in applying consumer insights to inform and optimize product and marketing Analytical thinker with experience in data-driven marketing Experience developing strategies to solve ambiguous and complex problems Very strong written communication skills Thrives in fast-paced environments and can adapt quickly to shifting priorities. Must have bias toward action and ability to identify and simplify problems Strong interpersonal skills with the ability to collaborate, manage expectations and work cross-functionally with both analytical and creative teams Ability to independently drive experimentation focused on conversion and engagement Benefits: Great medical, dental, and vision insurance options Mental health benefits In addition to holidays, interns receive 2 days paid time off and 3 days sick time off 401(k) plan to help save for your future Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. #Hybrid The expected base pay range for this position in the San Francisco area is $39-$41/hour. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft's Marketing & Communications team is dedicated to building an iconic brand for the future while driving profitable growth today. Our customer-obsessed approach ensures that we deliver brand love, loyalty, and exceptional value to both drivers and riders. We are committed to doing the best work of our careers, fostering innovation, and delivering exceptional results that shape the future of transportation. To achieve these goals, we are looking for experienced MBA interns to join our Global Growth, Rideshare, and Lyft Ads marketing teams that can help shape strategic thinking in a high-growth business area, build highly cross-functional go-to-market strategies and campaigns, and optimize approaches with insights and learnings that support customer adoption, growth, and retention. The ideal candidate will have strong business acumen and a background in marketing, including a track record of developing impactful marketing strategies and a proven ability to build key cross-functional relationships. Experience in the travel and hospitality space or with a marketplace business is a plus, as is experience in B2B or Ads marketing. Responsibilities: Support the team in shaping marketing strategy and high-impact go-to-markets for business growth areas, rooted in target customer insights. Be the voice of the customer to influence cross-functional thinking and continually assess our market and strategy to meet customer needs. Build a broad understanding of existing research and competitive landscape, identify gaps, and surface actionable insights that can inform product and marketing strategy. Partner with cross-functional teams such as Product, User Research, Sales, Partnerships, to ensure our marketing approach delivers against business objectives. Write inspiring creative briefs and shepherd the creative development process. Experience: Currently enrolled in a full-time MBA program with a graduation date between December 2026 and Summer 2027 (required), with 3-5 years of prior work experience Prior experience in management consulting or applicable fields are welcome Experience in applying consumer insights to inform and optimize product and marketing Analytical thinker with experience in data-driven marketing Experience developing strategies to solve ambiguous and complex problems Very strong written communication skills Thrives in fast-paced environments and can adapt quickly to shifting priorities. Must have bias toward action and ability to identify and simplify problems Strong interpersonal skills with the ability to collaborate, manage expectations and work cross-functionally with both analytical and creative teams Ability to independently drive experimentation focused on conversion and engagement Benefits: Great medical, dental, and vision insurance options Mental health benefits In addition to holidays, interns receive 2 days paid time off and 3 days sick time off 401(k) plan to help save for your future Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. #Hybrid The expected base pay range for this position in the New York City area is $39-$41/hour. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews. You will: Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo's business. Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles. Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements. Develop and evaluate large models, and integrate them into Waymo's production planning software for real-world applications through close partnership with the Planner and Research teams. You have: BS in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience Added Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) Proficient programming skills (eg: Python, C/C++) Strong analytical and debugging skills 5+ years of experience in Machine Learning modeling and/or Autonomous Vehicles We prefer: MS or PhD in Computer Science, Machine Learning, Robotics, or a related field. Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP. Prior software development or ML research industry experience (including internships). General software engineering experience solving motion planning or related robotics problems. Experience applying or evaluating ML-based systems in production environments. Experience with performance optimization of deep models, including with respect to specific hardware architectures #LI-Hybrid Our benefits are held Alphabet-Wide, inclusive of incredible maternity leave, health care, and retirement planning. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$204,000-$259,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews. You will: * Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo's business. * Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles. * Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements. * Develop and evaluate large models, and integrate them into Waymo's production planning software for real-world applications through close partnership with the Planner and Research teams. You have: * BS in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience * Added Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact * Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) * Proficient programming skills (eg: Python, C/C++) * Strong analytical and debugging skills * 5+ years of experience in Machine Learning modeling and/or Autonomous Vehicles We prefer: * MS or PhD in Computer Science, Machine Learning, Robotics, or a related field. * Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP. * Prior software development or ML research industry experience (including internships). * General software engineering experience solving motion planning or related robotics problems. * Experience applying or evaluating ML-based systems in production environments. * Experience with performance optimization of deep models, including with respect to specific hardware architectures #LI-Hybrid Our benefits are held Alphabet-Wide, inclusive of incredible maternity leave, health care, and retirement planning. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000-$259,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)