Qureos Mentor

Waymo

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>SAFETY</p>
<p>5274</p></div>
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</div><div><div><p>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&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;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.</p></div><p><i>
The Waymo Safety team works to promote and help to continuously improve the safety of Waymo&rsquo;s fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations.</i></p>
<p><i>
In this hybrid role, you will report to Risk Management, Safety Engineer</i></p>
<p><b>
You will:</b></p>
<ul>
<li>You will architect best practices for risk assessment methodologies, including publishing internal guidance on risk models, data sources and computation methods.</li>
<li>You will collaborate with domain experts to build robust risk assessments with sustainable overhead for execution and flexibility in the face of an expanding product scope.</li>
<li>You will work with domain experts to define what test coverage is needed to support ongoing risk assessments with regression protection and field monitoring.</li>
<li>You will connect with stakeholders, learn their pain points, and work to unblock barriers to scale. You will streamline rate limiting processes, automate repetitive tasks, and develop tools to enable future projects.</li>
<li>You will familiarize yourself with tools available inside and outside the team/company/industry to unlock increased scale without compromising on rigor.</li>
<li>You will champion and promote a robust safety culture and the continuous improvement of the Waymo safety program across the engineering and operations organizations.</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>An advanced degree in Computer Science, Robotics, Engineering or other relevant technical field OR 4 years of practical experience involving safety risk assessments and quantitative statistical methods.</li>
<li>Experience in software engineering for simulation and data evaluation, using Python or other high level language (e.g. SQL, R, C++)</li>
<li>Direct experience developing risk models, sourcing and validating data, and using findings to make decisions/recommendations.</li>
<li>Strong foundation in the process of risk management, including the end-to-end lifecycle of risk: identification, assessment, mitigation and acceptance of risk (e.g. following ISO 31000 or equivalent standards).</li>
<li>Comprehensive understanding of safety critical system design and the systems engineering &ldquo;Verification and Validation&rdquo; process.</li>
<li>Demonstrated technical project management skills with the ability to effectively manage multiple parallel, cross-functional safety-critical projects and teams. Ability to thrive in ambiguity.</li>
</ul>
<p><b>We prefer:</b></p>
<ul>
<li>Advanced skills in data science and statistics with a focus on analyzing large data sets for quantitative risk reduction, safety insights, and performance assessment.</li>
<li>Experience building automated, scalable data pipelines and working in production software environments.</li>
<li>Experience in the role of &ldquo;Trainer&rdquo; of quantitative risk assessment methods for a variety of engineering backgrounds.</li>
<li>Experience with C++ and Python.</li>
<li>Success as a safety culture champion, influencing engineering culture, ensuring safety is a first-class citizen in every design discussion.</li>
<li>Proven leadership experience in working with external partners, contractors, suppliers, and regulatory bodies/auditors.</li></ul><p></p><div><div><br>
<div>
<p>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.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$204,000&mdash;$252,000 USD</div></div></div></div></div></div></div>

Systems Safety Risk Management

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>OPERATIONS</p>
<p>5230</p></div>
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</div><div><div><p>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&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;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.</p></div><p>
Waymo Operations exists to deliver the Waymo Driver to the world. We are a global team building and scaling the world's first and leading autonomous fleet and operations platform. From component sourcing to end customer management, we enable and create value for Waymo through scaled and orchestrated deployment of the Waymo Driver. At Waymo, we are dedicated to building a culture that promotes collaboration and celebration. We value our team members' unique backgrounds, perspectives, and experiences and support and encourage all team members to share their ideas to help Waymo better serve the communities in which we operate.</p>
<p><i>
In this hybrid role, you will report to the Head of Operations Partner Management</i></p>
<p><b>
You will:</b></p>
<ul>
<li>Champion Operational Integration &amp; Expansion: Serve as the primary advocate for the partner allowing them to launch and expand while facilitating two-way feedback loops to identify internal bottlenecks and streamline partner processes across cross-functional teams.</li>
<li>Lead Structured Governance: Establish and manage Monthly and Quarterly Business Reviews (MBRs/QBRs) to track key performance indicators and evaluate relationship health, and develop strategic partner roadmaps.</li>
<li>Drive Performance and Accountability: Deliver data-driven feedback and advise on corrective action plans or improvement strategies when service levels fall below established standards on a partnership level.</li>
<li>Manage Overall Operational Engagement: Act as the central communication bridge for the partnership, proactively flagging contractual risks to the Partnerships team and ensuring unwavering alignment with internal expectations.</li>
<li>Ensure Regulatory and Operational Compliance: Apply deep expertise to guide partners through initial business setup and ongoing steady-state operations to ensure adherence to global standards.</li>
<li>Resolve Complex Operational Challenges: Bridge the gap between partners and internal teams to facilitate clear communication and provide timely resolution for high-level escalations.</li>
<li>Promote Partner-Centric Solutions: Regularly collect feedback and advocate for the partner&rsquo;s perspective to drive continuous improvement and ensure the sustained, long-term success of the partnership.</li></ul><br>
<p></p>
<p><b>
You have:</b></p>
<ul>
<li>6-8+ years of experience in partner operations, customer success, or account management within a high-growth technology environment.</li>
<li>Proven track record of managing complex partner-facing programs and leading structured governance cadences.</li>
<li>Excellent communication and executive presence skills necessary to engage, influence, and align with C-suite and senior leadership at external partner organizations.</li>
<li>Strong analytical proficiency with the ability to synthesize performance data into actionable feedback and long-term strategic roadmaps.</li>
<li>Self-directed problem solver capable of identifying internal bottlenecks and advocating for partner-centric solutions across cross-functional teams.</li></ul><br>
<p></p>
<p><b>
We prefer:</b></p>
<ul>
<li>Data-Driven Process Improvement: Proficiency in using Lean, Six Sigma, or similar process improvement methodologies to measure the efficacy of a process.</li>
<li>Performance Management Expertise: Proven track record of defining Key Performance Indicators (KPIs) and Service Level Agreements (SLAs) for external partners or internal operations.</li>
<li>Strategic Planning and Modeling Experience: Confidence with developing strategic growth roadmaps, driving partner alignment and basic spreadsheet modeling, preferably with physical assets.</li></ul><br>
<p></p>
<p><b>
Travel Requirement:</b></p>
<ul>
<li>&lt; = 25% of the year is spent traveling for in-person time with your team and to observe / work with partner operations</li>
</ul><div><div>
<div><p>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.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$159,000&mdash;$196,000 USD</div></div></div></div></div></div></div>

Operations Partner Manager

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>OPERATIONS</p>
<p>5132</p></div>
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</div><div><div><p>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&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;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.</p></div><p>
Waymo Operations exists to deliver the Waymo Driver to the world. We are a global team building and scaling the world's first and leading autonomous fleet and operations platform. From component sourcing to end customer management, we enable and create value for Waymo through scaled and orchestrated deployment of the Waymo Driver. At Waymo, we are dedicated to building a culture that promotes collaboration and celebration. We value our team members' unique backgrounds, perspectives, and experiences and support and encourage all team members to share their ideas to help Waymo better serve the communities in which we operate.</p>
<p>
The Demand Operations &amp; Service Quality team drives conversion, retention and utilization within local markets via metrics design and oversight, issue mitigation, and key demand opportunities. The <b>Ops Analyst, Demand Operations &amp; Service Quality</b> will provide analytical and operational support across the entirety of the Demand Ops &amp; Service Quality team, with a focus on understanding top rider pain points, building dashboards for Ops Managers to self-serve data, investigating escalated metrics, and supporting marketplace enablement.</p>
<p>
This role reports to the <b>Head of Demand Operations &amp; Service Quality.</b></p>
<p><b>
You will:</b></p>
<ul>
<li>Lead analytical reporting cadences for the Demand &amp; Service Quality Operations team - preparing key reports, diagnosing issues, and identifying opportunities for improvement</li>
<li>Drive key projects to deep dive on operational challenges and improve business outcomes; support local operations managers with insights to elevate the service in their markets</li>
<li>Design and develop metrics &amp; dashboards to enable operations managers to understand and self-serve data; leverage AI to improve data analysis efficiency</li>
<li>Create opportunities to upskill local operations managers in data analysis</li>
<li>Communicate business results and insights to cross-functional partners and leadership</li>
<li>Partner with cross-functional teams (e.g., Product Data Science, Product Management, User Research, etc.) to gain alignment on opportunities</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li><b>5-10 years</b> of experience in analytical roles, with a keen interest in advocating for the solutions your analysis produces</li>
<li><b>Analytical rigor</b>: Exceptional data visualization, quantitative, and analytical modeling skills (e.g., expert level in SQL, Excel / Google Sheets required) and the ability to build data-driven business cases to make operational improvements</li>
<li><b>Strong communication skills:</b> Exhibit comfort presenting to senior leadership and mastery in collaborating across stakeholder groups</li>
<li><b>Bridge between data &amp; operations: </b>Ability to bridge gaps between Data Science and Operations teams to ensure insights drive operational success and continuous improvement</li>
<li><b>Curiosity!</b> Unending curiosity about the metrics you set out to investigate and a desire to keep pulling the thread until you&rsquo;ve figured out what&rsquo;s going on</li>
<li><b>Comfort with Ambiguity:</b> Thrive in a &quot;0 to 1&quot; environment by bringing structure to messy, undefined data and building foundational reporting frameworks from the ground up.</li>
<li><b>Knowledge Multiplier:</b> Go beyond individual contribution by serving as our analytics expert and teaching our team how to effectively deploy AI tools to upskill and elevate our collective data literacy.</li>
<li>Bachelor&rsquo;s degree (Business, Operations, Data Science, Mathematics or related field).</li>
</ul>
<p><b>We prefer:</b></p>
<ul>
<li>Experience in a high-growth technology or mobility company</li>
<li>Expert-level SQL skills to query and model complex datasets, with experience building intuitive, ad hoc dashboards for operational self-service</li>
<li>Familiarity with Python, R, or similar statistical programming languages is a plus</li>
<li>Previous leveraging data to drive operational improvements</li>
<li>Previous experience in AV, mobility technology, urban planning or transportation.</li>
</ul>
<p><b>Travel requirements:</b></p>
<ul>
<li>Candidates should be willing and able to travel up to <b>10%</b> to visit local markets.</li>
</ul><div><div>
<div><p>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.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$130,000&mdash;$160,000 USD</div></div></div></div></div></div></div>

Operations Analyst, Demand Operations & Service Quality

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>SOFTWARE ENGINEERING</p>
<p>5056</p></div>
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</div><div><div><p>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&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;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.</p></div><p>
The Sensor Simulator Platform Team maintains the core of the simulation pipeline that allow Waymo to drive millions of simulated miles each year. The team is responsible for both the rendering/simulation engine as well as the pipeline that lets a variety of internal customers to run SensorSim at scale.</p>
<p><b>
You will:</b></p>
<ul>
<li><p>Help build and maintain efficient simulators capable of running millions of simulated miles to evalute the safety of Waymo's onboard models</p>
</li>
<li><p>Work with multi-modal data processing and simulation, including cameras, lidar, and radar</p>
</li>
<li><p>Interface with AI and machine learning teams that develop parts of the simulation pipeline</p></li></ul><br>
<p>
</p><p><b>You have:</b></p>
<ul>
<li><p>Developed or worked with 3D game engines</p>
</li>
<li><p>Experience in approximating the real world with data simulation, which might include physics simulation, animation capture, light transport, photogrammetry, NeRFs, or Gaussian splats</p>
</li>
<li><p>Experience in working on efficient asset management pipelines for data storage and processing</p></li></ul><br>
<p>
</p><p><b>We prefer:</b></p>
<ul>
<li><p>Prior experience in working on or integrating with ML pipelines and a general understanding of how such pipelines are trained and improved</p>
</li>
<li><p>Experience in scaling complex data processing pipelines and an understanding of the trade-offs in structuring these pipelines to operate synchronously or asynchronously</p>
</li>
</ul><div><div><div><p>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.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$213,000&mdash;$263,000 USD</div></div></div></div></div></div></div>

Senior Software Engineer, Sensor Simulation Platform

<div>
 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&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;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.
 <br/>
 <br/>
 The ML Ops team, part of Waymo ML Platform team, builds tools and infrastructure to realize the ML flywheel at Waymo. This includes building automation and orchestration solutions to make complex ML workflows manageable and reliable. This team also partners closely with the modeling team to realize solutions to speed up developer velocity.
 <br/>
 <br/>
 We're looking for a software engineer to join the team to build and maintain the critical data and ML pipelines that powers ML development at Waymo.
 <br/>
 <br/>
 <em>
  In this hybrid role, you will report to a Technical Lead Manager, Staff Software Engineer.
  <br/>
  <br/>
 </em>
 <strong>
  You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze and report on ML resource (compute, storage, accelerators) usage, costs, and efficiency trends across different teams and projects.
  </li>
  <li>
   Develop, maintain, and improve dashboards and tools for monitoring key resource metrics and providing actionable insights.
  </li>
  <li>
   Identify and investigate opportunities for resource optimization, cost reduction, and performance improvements in ML workflows.
  </li>
  <li>
   Support and guide ML engineers and researchers on best practices for resource utilization
  </li>
  <li>
   Contribute to the development, documentation, and enforcement of resource management policies and best practices.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering, or related field, and 2+ years equivalent experience
  </li>
  <li>
   Experience with distributed systems principles and experience building distributed systems for production environments.
  </li>
  <li>
   Solid Python or C++ skills
  </li>
  <li>
   Experience monitoring, debugging, and troubleshooting complex distributed systems
  </li>
  <li>
   Experience communicating updates and resolutions to customers and other partners
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We Prefer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with compute and storage management for medium to large organizations
   <br/>
   <br/>
  </li>
 </ul>
 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.
 <br/>
 <br/>
 Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
 <br/>
 <br/>
 Salary Range
 <br/>
 <br/>
 $170,000&mdash;$216,000 USD
 <br/>
 <br/>
</div>


Machine Learning Engineer, ML Resources

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES | NEW YORK CITY, NEW YORK, UNITED STATES | KIRKLAND, WASHINGTON, UNITED STATES</p>
<p>FULL-TIME</p>
<p>AI FOUNDATIONS</p>
<p>3654</p></div>
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</div><div><div><p>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&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;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.</p></div><p>
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.</p>
<p>
In this hybrid role you will report to a Technical Lead Manager.</p>
<p><b>
You will:</b></p>
<ul>
<li><p>Conduct applied foundation model research and development</p>
</li>
<li><p>Design compelling experiments by training and evaluating large deep learning models</p>
</li>
<li><p>Present results to peers and leadership</p>
</li>
<li><p>Write high quality code, unit tests, and documentation</p>
</li>
</ul><p><b>You have:</b></p>
<ul>
<li><p>Masters or PhD in deep learning in behavior and agent modeling or simulation</p>
</li>
<li>Proficiency in Python</li>
<li>
<p>3+ years of experience with modern deep learning frameworks. Prefer JAX or TensorFlow 2; however, Pytorch is acceptable.</p>
</li>
<li>Experience in generative modeling and LLMs or VLMs (e.g., Gemini, Llama, GPT)</li>
</ul>
<p><b>We prefer:</b></p>
<p>
Experience with:</p>
<ul>
<li>Post-training, incl. reinforcement learning</li>
<li>Distillation</li>
<li>Transformer models</li>
<li>Autoencoders and embeddings</li>
</ul>
<p>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:</p>
<ul>
<li>Health, dental, vision, life, disability insurance</li>
<li>Retirement Benefits: 401(k) with company match</li>
<li>Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li>
<li>Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)</li>
<li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li>
<li>Baby Bonding Leave: 18 weeks</li>
<li>Holidays: 13 paid days per year</li>
</ul><div><div>
<div><p>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.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$204,000&mdash;$259,000 USD</div></div></div></div></div></div></div>

Senior Research Scientist, Foundation Model (LLM/VLM)

<div><p>LONDON, ENGLAND, UNITED KINGDOM</p>
<p>FULL-TIME</p>
<p>SOFTWARE ENGINEERING</p>
<p>5074</p></div>
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</div><div><div><p>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&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;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.</p></div><p>
The Simulator team builds state-of-the-art simulations of realistic environments for the testing and training of the Waymo driver. We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather. To increase the fidelity and steerability of the simulations, we employ large foundation models, trained on our massive datasets that allow us to quickly setup and rollout multiple scenarios to subject our driver to.</p><br>
<p></p>
<p>
We are planning to set up a team in London UK to work with the teams in MTV and Oxford to build these foundation models out and to integrate them into several evaluation and training products. We are looking for research engineers to work on these exciting problems.</p>
<p>
In this hybrid role, you will report to an Engineering Director.</p><br>
<p></p>
<p><b>
You will:</b></p>
<ul>
<li>Be part of a world class research engineering team to grow the state-of-the-art of ultra realistic AV simulations using foundation models</li>
<li>Collaborate with teams in Waymo Oxford to use large models to improve sim realism</li>
<li>Design experiments that push the frontiers of AV simulations</li>
<li>Develop metrics that measure the realism of simulated worlds</li>
<li>Train and evaluate large models and integrate them into the simulator and its downstream applications</li>
<li>Help hire outstanding research engineers from diverse backgrounds</li>
<li>Be a part of a collaborative research engineering team that takes research ideas and productionizes them</li></ul><br>
<p></p>
<p><b>
We prefer:</b></p>
<ul>
<li>5+ years experience in applied Deep Learning</li>
<li>5+ years coding and design skills</li>
<li>Experience solving complex production problems using state-of-the-art ML techniques</li>
<li>Experience taking research to production</li>
<li>Expertise in Data Analysis or Data Science</li>
</ul>
<p>#LI-Hybrid</p><div><div>
<div><p>
The expected base salary range for this full-time position 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. Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
</p></div><div>Salary Range</div>
<div>&pound;123,000&mdash;&pound;129,000 GBP</div></div></div></div></div></div></div>

Senior Machine Learning Engineer / London (UK-LON-40BR) / Simulation (7XW)

Join Waymo and explore 16   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.