Waymo jobs in New York, NY

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.)

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. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms. In this hybrid role, you will report to a Software Engineering Manager You will: * Identify important compute workloads for autonomous vehicles and understand their performance characteristics * Develop and maintain tests and tools for numerical correctness, become the main expert on ML numerics * Implement optimizations in compute workloads for the current and next-generation hardware/software stack * Build benchmarks and reduced workload applications to prototype and stress test the next-generation hardware/software stack * Collaborate with the broader software organization to ensure optimal and efficient use of next-generation compute platforms * Interact with hardware teams to provide key results and insights over the next-generation hardware design and decision making You have: * MS degree in Computer Science or Computer Engineering * Proficiency in C++ * In-depth knowledge of compute architecture, compiler, and operating system * A minimum of five years of professional or research experience in performance analysis and optimization We prefer: * GPGPU/accelerator programming * Knowledge of ML algorithms and their numerical properties. * Experience with software engineering in edge computing especially in autonomous vehicle #LI-Hybrid 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.)

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 Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. We need an experienced, technically hands-on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new methods and delivering tools for mining and sampling data. In this hybrid role, you will report to a TBD. You will: * Developing tools for easy mining of novel situations that might impact safety from our driving logs for use in evaluation and ML datasets, using a mixture of ML and structured data * Advanced sampling techniques and tuning of simulations to get strong signal for metrics and models from our datasets * Automation for our mining and sampling ecosystem so Waymo can rapidly scale to new cities * Hands on technical contributions to both engineering and data science-oriented projects * Strong management and technical leadership of a small team of data science-friendly engineers * Partnering with leads and teams across Waymo to determine and execute on strategy, including product, engineering, data science, frontend, and backend You have: * Strong engineering design and programming skills * Strong data fluency and analysis skills * Familiarity with statistical methods including hypothesis testing, experiment design, and sampling * Familiarity with foundational and contemporary ML concepts and practices * Experience managing teams of up to 8 people * BS/MS in Computer Science, Robotics, Statistics, Physics, Math, or other quantitative area * 7+ years of industry experience with * C++, Python, SQL experience * Navigating and modifying a large code base containing various languages, such as C++, SQL, and Python * Building data processing pipelines We prefer: * Eval experience, such as building and validating metrics to measure quality in complex systems * Strong statistical background (MSc-level stats or similar expertise from work experience) * Strong ML background (MSc-level ML or similar expertise from work experience) * Experience working in the AV industry and/or with simulations * 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 $281,000-$356,000 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.)

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.

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 Ads is building the world's largest mobility advertising network, connecting brands with millions of consumers throughout their transportation journeys. Our advertising platform spans in-app ad products and out-of-home assets such as wrapped vehicles. As we scale our advertising business, we're looking for an entrepreneurial product manager to identify and unlock new growth opportunities within the Lyft ecosystem. We are seeking a Senior Product Manager who thrives in ambiguity and excels at transforming data-driven hypotheses into revenue-generating products. As the Growth PM for Lyft Ads, you will pioneer 0-to-1 advertising opportunities, validate new monetization models through rapid experimentation, and build full-stack solutions that deliver measurable value for both advertisers and Lyft. You'll work at the intersection of product innovation, data science, and revenue optimization to accelerate our advertising business growth. Responsibilities: Pioneer new advertising opportunities by analyzing Lyft's ecosystem to identify untapped monetization potential, developing data-driven hypotheses for greenfield ad products, and transforming emerging patterns into actionable growth strategies. Lead through experimentation by designing and executing rapid testing frameworks to validate/disprove hypotheses, building MVPs and prototypes to test advertiser demand and user acceptance, and iterating quickly based on learnings to find product-market fit. Increase experimentation velocity by translating a wide range of use cases into reusable, extensible solutions and scalable deployment workflows. Drive revenue growth by developing full-stack advertising products from ideation through launch and optimization, setting aggressive growth targets and success metrics aligned with Lyft Media's vision, and optimizing yield and advertiser ROI through continuous product improvements. Build alignment across complex stakeholders including engineering, data science, sales, marketing, and advertiser operations teams, while clearly communicating experiments, learnings, and strategic pivots to leadership. Own end-to-end product delivery from opportunity identification through development, launch, growth, and maintenance, ensuring seamless integration with existing Lyft Media platform capabilities. Champion advertiser outcomes by deeply understanding advertiser needs across different verticals and use cases, developing products that deliver measurable business results and ROI, and establishing feedback loops to continuously improve advertiser satisfaction. Experience: Strong experience in digital advertising Product Management: 5+ years in product management with demonstrated success launching 0-to-1 products in fast-paced, ambiguous environments, with a strong preference for advertising products Growth mindset and experimentation expertise: Proven track record of using data, A/B testing, and rapid iteration to drive product growth and revenue. Experience with growth metrics, funnel optimization, and monetization strategies Strong analytical capabilities: Advanced skills in data analysis, SQL, and experimentation frameworks. Ability to translate complex data into actionable insights and product strategies Entrepreneurial drive: Natural ability to identify opportunities, manage ambiguity, and make things happen with minimal direction. Comfortable operating in uncharted territory with incomplete information Full-stack product thinking: Experience building products that span multiple technical systems, from front-end experiences to backend infrastructure and data pipelines Excellent stakeholder management: Proven ability to influence and align cross-functional teams, from engineers to executives, around a shared vision and roadmap. Exceptional skills driving alignment, building trust, and clarifying complexity with stakeholders in other orgs and functions. Customer obsession: Deep empathy for both advertiser needs and user experience, with ability to balance revenue generation with platform health Strong communication: Exceptional written and verbal communication skills, with ability to present complex ideas simply to diverse audiences Preferred qualifications: Experience in advertising technology, programmatic advertising, or marketplace products. Background in growth product management at consumer tech companies Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible 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. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the New York City area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. 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 Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. We need an experienced, technically hands-on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new methods and delivering tools for mining and sampling data. In this hybrid role, you will report to the Sr. Staff Manager. In this role, you will: * Develop and drive the end-to-end strategy for our next generation of machine learning-based evaluation metrics, championing scientific and statistical rigor across our embodied AI applications. * Architect and build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors. * Lead the design, implementation, and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors. * Lead the development of cutting-edge Deep Learning models and Generative AI (LLM/VLM) solutions to enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies. * Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a novel Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation system. * Provide technical mentorship, guidance, and thought leadership to other engineers within the team and across collaborating groups. * Guide and align multiple teams-including Driver Understanding, Simulation, System Engineering, Research, and Onboard Software-on a cohesive evaluation strategy, ensuring cross-functional alignment on goals and priorities. Minimum Qualifications: * PhD degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience. * 7+ years of hands-on experience in developing and applying Machine Learning models, with a significant focus on Reinforcement Learning. * Demonstrated expertise in deep learning, sequence modeling, and generative models. * Strong publication record or history of impactful project delivery in RL or related areas. * Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow). * Experience with large-scale distributed training and data processing. * Proven ability to lead complex and ambiguous technical projects from conception to completion. Preferred Qualifications: * 10+ years of relevant experience in ML/RL research and application. * Experience in the autonomous vehicles domain, robotics, or complex simulation environments. * Deep understanding of state-of-the-art RL techniques, including those used for fine-tuning large models (e.g., from human feedback/preferences). * Familiarity with large-scale simulation platforms and their integration with ML training workflows. * Experience designing and using metrics for evaluating complex AI systems. * Track record of technical leadership, influencing senior stakeholders, and driving innovation across team boundaries. * Excellent communication skills, with the ability to articulate complex technical concepts clearly. 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 $281,000-$356,000 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. Waymo's Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market. Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo's technology and the products it enables forward. We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future. This role follows a hybrid work schedule and reports to a Senior Product Manager. You will: * Act as an approver for model launches, understanding and negotiating between trade offs, regressions, and improvements across all of a model's surface area * Plan for future investments into model capabilities on a 12+ month timeline by understanding the limitations of the current model architecture and the immediate needs of our Ride Hailing business * Set the vision for our Object Generation model architecture on a 12-36 month timeline by understanding the overall needs of Waymo and the current State of the Art ML/AI research * Manage the execution of upcoming milestones by working directly with a group of 20+ engineers, Technical Program Managers, and other Product Managers * Conduct root cause analysis and conferring with partners in Engineering to propose viable solutions by examining AV behavior from a mix of real world, synthetic, and simulated events You have: * 5 years PM experience * Experience iterating on models over the course of 12+ months * Experience in launching new model architectures, model consolidation, or Foundational Model distillation * Experience optimizing models for compute efficiency * Technical fluency in Perception or related field We prefer: * 7 years PM experience * Master's Degree in Engineering or previous experience working as an Engineer * Experience working with Perception models * Experience training and releasing Large Foundational Models, especially Gemini 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 $238,000-$302,000 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 Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! In this hybrid role, you will report to an Engineering Manager. You will: * Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. * Use simulation creatively and mine real world driving logs to measure driving performance. * Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. * Champion code health and best practices in a large and complex code base. * Analyze data and make recommendations on how to improve metric quality and interpretability. * Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. * Quickly prove out the efficacy of added coverage, and strive to hand off solutions in a robust way for customer teams to own their own evaluation. You have: * BS/MS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area * Strong self-motivation to navigate complex systems and pursue open-ended problems to completion * Willingness to move quickly between verticals for different internal customers. Work is more likely to be short projects rather than protected 6+ month efforts. * 5+ years of industry experience with * Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL * Performing statistical analyses * Building data processing pipelines * Writing, reviewing, and merging code following industry standards for code health and maintainability * Quant/data fluency is a top requirement We prefer: * Experience coding in C++ * Experience with ML * Experience with A/B experiment infrastructure * Experience building and validating metrics to measure quality in complex systems * Exposure to ad-hoc data analysis tools for rapid modeling and prototyping * Experience working in the AV industry 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 $238,000-$302,000 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. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms. In this role, you will report to a Hardware Engineering Manager. You will: * Analyze workloads and map them efficiently to hardware, proposing novel HW-friendly implementations and projecting performance * Architect, simulate and design amazing machine learning solutions for our autonomous driving technology * Work closely with compiler and model developers to influence engineering trade-offs and future model architectures * Build scalable tools for simulator modeling and performance evaluation * Interact with cross-functional engineering teams to identify opportunities and requirements You have: * BS degree in Computer Science or Computer Engineering or similar relevant technical field, or equivalent practical experience * 3+ years on designing/architecting complex, high performance architectures - CPUs, GPUs and/or ML accelerators - in the industry or through doctoral research * 1+ years experience with machine learning architectures, acceleration and model optimization * Strong C++ programming and algorithmic problem solving skills We prefer: * 1+ years modeling high performance architectures in cycle-aware simulators * Track record of analyzing workloads and architecting, delivering novel HW+SW solutions to vastly improve performance, efficiency * Familiarity with ML model architectures and their compute characteristics (bottlenecks, optimization opportunities) * Experience with microarchitecture design (SystemVerilog or HLS) #LI-Hybrid 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. At Waymo Insurance, you will work on the cutting edge of emerging risk and related issues surrounding our transformational autonomous driving technology and help drive our business lines forward from technology ideation through scaled commercial deployment. We partner with our legal, public policy, safety, security and privacy experts to evaluate and manage risks for the autonomous driving world to come, advising on insurance trends, evaluating and quantifying product liability, auto, cyber and related risks to ensure we build the appropriate risk and insurance frameworks to support and protect our users around the world. We collaborate with our business development, product partnership, strategy and operations teams in the execution of our business plans to ensure the company's interests are well protected from existing, new and emerging risks. We support the legal, policy and regulatory teams as they optimize our exposure in line with our risk appetite through the review of contracts, evaluation and shaping of emerging law and regulation at both the state and federal level. And we anticipate, quantify and mitigate emerging risk by maintaining active relationships and frequent contact with insurance and AV industry partners. In this hybrid role, you will report to the Head of Insurance Infrastructure You will: * Manage large, complex insurance renewals and insurance-related processes to support Waymo's evolving business needs. * Independently drive outcomes for insurance projects, serving as a critical contributor and leader for cross-functional efforts. * Conduct regular reviews of existing processes, analyzing effectiveness and efficiency to execute necessary improvements and automation. * Analyze and monitor activities within the risk management org and ensure proper documentation alignment and follow-up with stakeholders. * Self-direct and guide team members through project milestones, communicating with stakeholders to acquire resources and present results. * Collaborate across teams, clearly articulating a subject matter point of view to identify, assess, and track risks. You have: * Experience: 7+ years of experience in insurance, risk management, or underwriting, with a track record of managing complex risks. * Technical Depth: Strong knowledge of commercial insurance lines (Auto, General Liability, etc.) and experience applying these to technology or fleet environments. * Process Improvement: Demonstrated ability to analyze business processes and build sustainable, repeatable improvements or process maps. * Project Management: Experience independently leading sub-projects or cross-functional work streams from scoping to execution. * Education: Bachelor's degree in Finance, Risk Management, or a related field (Master's or JD preferred) * Master's degree or higher in Business Administration, Finance, Risk Management, Law, or a related quantitative field. We prefer: * Professional designations such as CPCU, ARM, or ARe, indicating advanced expertise in property-casualty insurance or risk management. * Juris Doctor (JD) degree from an accredited law school. * Experience working with or within a technology-focused organization, particularly one involved in autonomous systems or disruptive innovations. * Demonstrated experience in a global role, managing insurance programs across multiple international jurisdictions. * Proven track record of building and leading high-performing teams within a fast-paced and evolving environment. * Familiarity with alternative risk transfer mechanisms Travel Required: 10% 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 $158,000-$200,000 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 mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the 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. In this hybrid role you will report to a Technical Lead Manager. You will: * Conduct applied foundation model research and development * Design compelling experiments by training and evaluating large deep learning models * Present results to peers and leadership * Write high quality code, unit tests, and documentation You have: * Masters or PhD in deep learning in behavior and agent modeling or simulation * Proficiency in Python * 3+ years of experience with modern deep learning frameworks. Prefer JAX or TensorFlow 2; however, Pytorch is acceptable. We prefer: Experience with: * Generative modeling * LLMs or VLMs (e.g., Gemini, Llama, GPT) * Post-training, incl. reinforcement learning * Distillation * Transformer models * Autoencoders and embeddings 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.)

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. Our team maintains and improves a high impact system that is a critical part of Waymo's Planner. You will work at the intersection of robotics and modern ML, collaborating across our teams, to build solutions that can handle situations from everyday driving to ones that happen once in a million miles. In this hybrid role, you will report to an Engineering Manager within Planner. You will: * Provide technical leadership for ML model development for Planner Selection * Provide mentorship for junior engineers on the team * Investigate driving behavior issues from logs and understand the root cause * Improve performance of the state of the art ML models in Planner * Develop foundational frameworks that help advancement of the Waymo Driver's capabilities. * Expand the impact of ML models while preserving interpretability and behavioral guarantees You have: * Masters or PhD degree in Computer Science, Machine Learning or a similar discipline. * Proficiency in Python or C++ * Experience with Machine Learning models in production systems We prefer: * AV or Robotics experience * 8+ years of Software Engineering experience in complex systems 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 $238,000-$302,000 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.)

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. Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing. As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers. Responsibilities: * Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team's systems and products * Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context. * Perform exploratory data analysis to gain a deeper understanding of the problem * Construct and fit statistical, machine learning, or optimization models * Write production modeling code; collaborate with Software Engineers to implement algorithms in production * Design and implement both simulated and live traffic experiments * Analyze experimental and observational data; communicate findings; facilitate launch decisions * Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes * Drive collaboration and coordination with cross-functional teams Experience: * M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields * 2+ years professional experience in a technology company setting * Proven experience with building and evaluating machine learning models * Proficiency with Python and working in a production coding environment * Passion for solving unstructured and non-standard mathematical problems * End-to-end experience with data, including querying, aggregation, analysis, and visualization * Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem Benefits: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * 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. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the New York City area is $128,000 -$160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. 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. Waymo's cars may be self-driving, but its construction projects are steered by experts like you. Safety is our foundation and is at the heart of everything we do. As Waymo's Construction Project Executive you will be responsible for site due diligence, design oversight, permitting and build out of a variety of locations across industrial, automotive service and EV charging typologies for Waymo in an extremely fast paced environment with a high degree of ambiguity. At every turn, process excellence, collaboration, and detailed cross-org communications are critical. You will: * Be responsible for site due diligence, negotiations of transaction work letter documents, permitting, design oversight and build out of a variety of locations across ev charging and automotive service center typologies that include electrical utility upgrades * Synthesize and present executive-level business cases for capital investment strategies across a diverse portfolio of projects * Build trusted relationships across the business and act as liaison to ensure alignment between investments and the portfolio strategies. Effectively communicate expectations, requirements and status of deals to key business stakeholders, building a culture of speed, flexibility and frugality for solutioning * Closely collaborate with GPS peers as well as Waymo legal, finance and procurement teams in order to deliver highly successful projects as well as security, network and other partners * Innovate and execute processes and tools to ensure the complete cycle from site search due diligence through deal execution to the first day of business is completed consistently and predictably, managing ever-changing variety of internal initiatives and projects. * Create, innovate and implement relevant systems of metrics to plan, manage and measure performance pertaining to the project delivery process You have: * 10+ years of real estate project management of industrial operations, automobile service and charging of at least 300,000 square feet * Experience leading large scale real estate construction projects, orchestrating teams of project managers, architects, contractors, consultants and attorneys through deal flows at values of $20M each and greater * Exceptional project delivery skills, including the ability to gather relevant jurisdictional limitations and roadblocks, as well as communicate recommendations effectively to various stakeholders * Advanced financial reporting and analysis acumen as well as budget management * Experience developing and implementing process improvements to streamline the full project delivery cycle We prefer: * A track record of proven objective analysis, having delivering projects in an atmosphere where speed, flexibility and frugality are the norm * Business relationship management expertise * Degree in construction management, architecture, engineering, real estate, business administration or finance * Automotive and/or rideshare sector interest, if not experience * Drive to work in a startup environment, ideally in tech industry * Commercial vehicle fleet infrastructure and electrical infrastructure/ utility upgrade delivery experience as well as other technical expertise with building and site infrastructure 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 $190,000-$241,000 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 Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. You will: * Report into the TLM for the Learned Metrics Team * Develop ML models that assess our autonomous vehicle's behavior. * Develop ML infrastructure to support performant models. * Collaborate across teams to bring state-of-the-art to production. You have: * BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience * 2+ years of experience building productionized ML models * Code and design skills: comfort building production systems (Python / C++) * Background in applied Deep Learning * A track record in improving model quality We prefer: * 4+ years of experience building productionized ML models * Experience in reinforcement learning, transfer learning, or learning. * Experience with large scale data and models 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.)

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. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate with many other teammates to ensure we design and improve hardware and software for maximum performance. We are a diverse team looking for curious and talented teammates to work on one of the world's highest performance automotive compute platforms. This role follows a hybrid work schedule and you will report to a Software Engineering Manager. You will: * Maximize performance of our neural networks by enhancing and extending our production grade compiler * Work with hardware architects and model developers to develop understanding of our unique neural network inference platform and neural networks * Implement compiler support for novel features of our high-performance architecture You have: * BS degree in Computer Science/Electrical Engineering or equivalent practical experience and 3+ years of industry experience OR * MS degree in Computer Science/Electrical Engineering and 1+ years of industry experience OR * PhD Degree in Computer Science/Electrical Engineering or equivalent years of experience * 1+ years of industry and/or academic experience with compilers and parallel computing * 1+ years of industry and/or academic experience working with ML inference or linear algebra computations * C++ programming skills We prefer: * Python programming experience * Experience with compilers for neural networks * Knowledge of computer architectures used for neural network inference, and neural network performance characteristics * Knowledge of the principles behind popular machine learning and neural network algorithms and applications #LI-Hybrid 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.)

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 The Service Operations Manager requires an experienced professional with high levels of energy and initiative, deep understanding of service processes, go-getter attitude, great leadership skills, and cross-team collaboration. To be successful in this role, you must have a customer-first approach, thrive in ambiguous and unexpected environments, tackling all challenges with a creative and flexible mindset. Responsibilities Provide the world's best of the best in customer service rivaling any industry Accountable for effectively managing a P&L, Work in Progress (WIP) and customer experience measured by a Net Promoter Score (NPS) Lead and manage all local operations on the ground with a servant-leadership, hands-on mindset Ensure that programs and processes are developed, assessed, communicated, and administered in compliance with Rivian's objectives Manage and be accountable for high value inventory reconciliation Collaborate with Service Operations, Sales, Retail, and Delivery & Field Operations teams Work in partnership with cross-functional teams regularly on implementing and continuously improving field service operations Prioritize, plan, and coordinate logistics and meetings with internal teams and external parties Build a strong customer-centric team of Mobile/Service Technicians, Service Advisors, and Parts Advisors Lead and take ownership of management responsibility relating to hiring, performance management, and overall employee development planning Build a Rivian culture that is inclusive, and maintain high levels of team morale Responsible for ensuring the establishment of safe service business practices and processes Follow and promote Rivian's high standards of safety, cleanliness, and organization Develop and maintain a process to track and report on KPI's at the Service Centers This role may require regular interaction with customers and their families, 3rd party affiliates, and suppliers within Rivian facilities, on mobile service routes, or at community outreach events. Qualifications Bachelor's degree or equivalent work experience Ability to have a direct impact on scalability in a complex organization Effectively manage remote service teams and a driver of people performance Excellent verbal and written and communication skills Outstanding planning and organizational skills with a focus in operational excellence Detail-oriented with strong analytical and interpersonal skills Demonstrated high-level administrative experience, including advanced computer skills (Microsoft office) Ability to perform duties with a high level of professionalism, flexibility, discretion, judgment, diplomacy, and tact Proven ability to effectively handle and adapt to multiple priorities, organize workload, and meet deadlines Knowledge of automotive equipment and servicing methods Must possess a valid driver's license and clean driving record Automotive Technical skills preferred Able and flexible to travel as needed Automotive repair knowledge preferred Experience working in start-up environments preferred Experience in leading automotive or high-tech team-orientated, fast-paced work environment Understanding of problem-solving methods such as SWOT Analysis, Lean implementations, Six Sigma operational and Visual Management standards preferred Physical exertion may be required to perform occupational tasks (sitting up to 2 or more hours at a time, standing for up to 8 or more hours a day, walking, bending, kneeling, laying, twisting, carrying, reaching, stretching, pushing, pulling, and lifting up to 50 lbs). Frequent use of hands for purposes of grasping and using tools correctly, entering data, writing communications, or calling customers or internal partners Strong understanding of written and spoken English Ability to see, read and interpret documents such as governmental regulations, safety rules, operating and maintenance instructions or schematics Pay Disclosure Salary Range/Hourly Rate for New York Based Applicants: $121,800 - $161,450 per hour (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment. 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. Bachelor's degree or equivalent work experience Ability to have a direct impact on scalability in a complex organization Effectively manage remote service teams and a driver of people performance Excellent verbal and written and communication skills Outstanding planning and organizational skills with a focus in operational excellence Detail-oriented with strong analytical and interpersonal skills Demonstrated high-level administrative experience, including advanced computer skills (Microsoft office) Ability to perform duties with a high level of professionalism, flexibility, discretion, judgment, diplomacy, and tact Proven ability to effectively handle and adapt to multiple priorities, organize workload, and meet deadlines Knowledge of automotive equipment and servicing methods Must possess a valid driver's license and clean driving record Automotive Technical skills preferred Able and flexible to travel as needed Automotive repair knowledge preferred Experience working in start-up environments preferred Experience in leading automotive or high-tech team-orientated, fast-paced work environment Understanding of problem-solving methods such as SWOT Analysis, Lean implementations, Six Sigma operational and Visual Management standards preferred Physical exertion may be required to perform occupational tasks (sitting up to 2 or more hours at a time, standing for up to 8 or more hours a day, walking, bending, kneeling, laying, twisting, carrying, reaching, stretching, pushing, pulling, and lifting up to 50 lbs). Frequent use of hands for purposes of grasping and using tools correctly, entering data, writing communications, or calling customers or internal partners Strong understanding of written and spoken English Ability to see, read and interpret documents such as governmental regulations, safety rules, operating and maintenance instructions or schematics Provide the world's best of the best in customer service rivaling any industry Accountable for effectively managing a P&L, Work in Progress (WIP) and customer experience measured by a Net Promoter Score (NPS) Lead and manage all local operations on the ground with a servant-leadership, hands-on mindset Ensure that programs and processes are developed, assessed, communicated, and administered in compliance with Rivian's objectives Manage and be accountable for high value inventory reconciliation Collaborate with Service Operations, Sales, Retail, and Delivery & Field Operations teams Work in partnership with cross-functional teams regularly on implementing and continuously improving field service operations Prioritize, plan, and coordinate logistics and meetings with internal teams and external parties Build a strong customer-centric team of Mobile/Service Technicians, Service Advisors, and Parts Advisors Lead and take ownership of management responsibility relating to hiring, performance management, and overall employee development planning Build a Rivian culture that is inclusive, and maintain high levels of team morale Responsible for ensuring the establishment of safe service business practices and processes Follow and promote Rivian's high standards of safety, cleanliness, and organization Develop and maintain a process to track and report on KPI's at the Service Centers This role may require regular interaction with customers and their families, 3rd party affiliates, and suppliers within Rivian facilities, on mobile service routes, or at community outreach events.

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. Data and analytics are at the heart of Lyft's products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of micromobility by leveraging data to quantify and communicate hardware performance and overall system health so we can continually improve our world class operations. In this role, you will collaborate closely with operations teams, as well as software and hardware engineering teams, to monitor the performance of and drive improvements in our hardware. You will also play a key role in monitoring and mitigating rideable theft and loss. You will work in a fast-paced environment where your analytical insights directly impact strategic decisions around operational processes, fleet deployment, staffing, and product changes, ultimately driving better performance experiences for our customers. We're looking for a passionate and driven Analyst to tackle some of the most complex and impactful challenges in micromobility. If you're excited about shaping the future of urban mobility through data, we'd love to hear from you. Responsibilities: Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross-functional stakeholders to conduct deep-dive analyses to root cause issues and propose solutions Develop frameworks, business logic and scalable processes to streamline reporting, drive decision-making and prioritization Define the metrics used to measure the success of strategic initiatives and system health; build dashboards to monitor metrics performance over time Work closely with cross-functional partners to deliver data quickly, reliably and accurately to our city partners Monitor and diagnose KPI performance and present findings to senior leadership Experience: 3-5+ years of experience in data analytics in a high-growth environment, preferably an operations or transportation / logistics space Experience quantifying and communicating performance in complex and multi-faceted operational environments. Experience functioning in ambiguous problem spaces and demonstrated ability to work through unstructured problems with minimal oversight Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems Great communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively Highly proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Strong attention to detail, structured thinking and experiences developing processes to reduce human error A strong sense of product ownership - you're constantly looking for ways to improve the customer's experience and aren't afraid to get your hands dirty to do so Bonus: Proficiency in Python and associated data science libraries Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible 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. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the New York City area is $108,000 - $135,000, not inclusive of potential equity offering, bonus or benefits. 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. The Control Systems team envisions a future where engineers seamlessly command their production workloads with ease and clarity. We aspire to be the definitive interface for all production infrastructure interactions, transforming complexity into intuitive control and empowering Lyft Engineering to scale, operate and react in an emergency with confidence and efficiency. As a Software Engineer on the Control Systems team, you will lead a talented group of engineers responsible for the production infrastructure tooling experience, and continuously develop and maintain the interfaces that enable our customers to manage their services and entities in production. You will play a key role in shaping the team's vision as well as executing on the strategy and delivering impactful solutions. Lyft Infrastructure We count on the reliability of our infrastructure to empower Lyft teams to provide rich experiences for our customers that are reliable and available in order to ensure our transportation platform connects people and places. Our engineers are smart, flexible, and love solving difficult challenges. They look to their managers for organizational transparency, career development, mentorship, and honest feedback. They move fast and ship code to production continuously, relying on their leadership to increase productivity by removing obstacles and keeping processes lean. We build teams that are inclusive, helpful, and have a strong sense of ownership for the things they build. Lyft's Infrastructure teams are responsible for building the foundational systems that engineers rely on in order to build stable, scalable, and efficient services. We build scalable infrastructure that helps software developers move fast, while still providing them with the flexibility they need to innovate within their teams. We are looking for experienced leaders to guide these teams as they create an exceptional development experience for all of Lyft. These are high leverage roles, as your work will have a multiplicative effect across Engineering, and contribute directly to Lyft's overall stability. Responsibilities: Be a part of the Infrastructure Engineering team responsible for maintaining and improving our infrastructure Balance feature development speed and reliability with service-level objectives Mentor and guide the technical development of your team members. Maintain a balance between building sustainable, high-impact projects and shipping things quickly Instill a spirit of continuous improvement in the team's code, architecture, and processes Work with engineers and stakeholders to maintain a prioritized backlog and create short term and long term goals Own your team's deliverables and ensure we continue to ship scalable, highly-available products that delight our customers (other developers at Lyft). Lead large projects, ensuring end-to-end execution with a focus on high quality and reliability. Provide technical guidance and contribute to the evolution of our frontend architecture at Lyft. Actively unblock and support team members, fostering a collaborative and efficient work environment. Experience: 5 years of professional frontend software engineering experience Experience with frontend technology and experience leading frontend teams Experience working on teams responsible for maintaining and operating infrastructure at a large-scale You are steadfastly focused on your customers You enjoy working in a collaborative environment, and you're committed to driving projects to completion creatively You have built teams that are motivated and value a strong sense of ownership Experience guiding teams through planning, prioritization, and execution of work Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible 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. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the New York City area is $128,000 - $160,000, not inclusive of potential equity offering, bonus or benefits. 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.