Qureos Mentor

Waymo

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>OPERATIONS</p>
<p>5132</p></div>
<br><div></div><div><div><div><div><div><div>Add to favorites
</div></div> <div></div><div>View favorites
</div>
</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>
<br><div></div><div><div><div><div><div><div>Add to favorites
</div></div> <div></div><div>View favorites
</div>
</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>
<br><div></div><div><div><div><div><div><div>Add to favorites
</div></div> <div></div><div>View favorites
</div>
</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>
<br><div></div><div><div><div><div><div><div>Add to favorites
</div></div> <div></div><div>View favorites
</div>
</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)

<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 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 In this hybrid role, you will report to an Engineering Director.
 <br/>
 <br/>
 <strong>
  You Will
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We Prefer
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 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.
 <br/>
 <br/>
 Salary Range
 <br/>
 <br/>
 &pound;123,000&mdash;&pound;129,000 GBP
 <br/>
 <br/>
</div>


<div><p>LONDON, ENGLAND, UNITED KINGDOM</p>
<p>FULL-TIME</p>
<p>SOFTWARE ENGINEERING</p>
<p>5080</p></div>
<br><div></div><div><div><div><div><div><div>Add to favorites
</div></div> <div></div><div>View favorites
</div>
</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 DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judgment with advanced machine learning models, we deliver training and evaluation data for hundreds of metrics and components that comprise the Waymo Driver.<br>
</i><br>
</p><p><i>We are looking for researchers and software engineers passionate about developing ML techniques for evaluation systems and driving performance improvements across our technology stack.</i></p><br>
<p></p>
<p><b>
You will:</b></p>
<ul>
<li>Build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors.</li>
<li>Lead the implementation, and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors</li>
<li>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.</li>
<li>Oversee the production and optimization of machine learning models aiming to assess Waymo&rsquo;s expansive fleet of vehicles that cumulatively travel millions of miles.</li>
<li>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.</li>
<li>Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.</li></ul><br>
<p></p>
<p><b>
You have:</b></p>
<ul>
<li>M.S. or Ph.D. degree Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience.</li>
<li>7+ years of hands-on experience in developing and applying Machine Learning models, with a significant focus on Reinforcement Learning.</li>
<li>Demonstrated expertise in deep learning, sequence modeling, and generative models.</li>
<li>Strong publication record or history of impactful project delivery in RL or related areas.</li>
<li>Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow).</li>
<li>Experience with large-scale distributed training and data processing.</li>
<li>Proven ability to lead complex and ambiguous technical projects from conception to completion.</li></ul><br>
<p></p>
<p><b>
We prefer:</b></p>
<ul>
<li>10+ years of relevant experience in ML/RL research and application.</li>
<li>Experience in the autonomous vehicles domain, robotics, or complex simulation environments.</li>
<li>Deep understanding of state-of-the-art RL techniques, including those used for fine-tuning large models (e.g., from human feedback/preferences).</li>
<li>Familiarity with large-scale simulation platforms and their integration with ML training workflows.</li>
<li>Experience designing and using metrics for evaluating complex AI systems.</li>
<li>Track record of technical leadership, influencing senior stakeholders, and driving innovation across team boundaries.</li>
<li>Excellent communication skills, with the ability to articulate complex technical concepts clearly.</li></ul><p></p><div><div><br>
<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;155,000&mdash;&pound;163,000 GBP</div></div></div></div></div></div></div>

Staff Machine Learning Engineer

Join Waymo and explore 14   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.

Waymo

About Company

Operations Analyst, Demand Operations & Service Quality

Senior Software Engineer, Sensor Simulation Platform

Machine Learning Engineer, ML Resources

Senior Research Scientist, Foundation Model (LLM/VLM)

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

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

Staff Machine Learning Engineer