Qureos Mentor

Waymo

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>FINANCE, BUSINESS SYSTEMS, AND GLOBAL PLACES &amp; SERVICES</p>
<p>4742</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'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, Ops 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.</p>
<p><i>
In this hybrid role you will report to the Head of Project Delivery.</i></p><br>
<p></p>
<p><b>
You will:</b></p>
<ul>
<li>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</li>
<li>Synthesize and present executive-level business cases for capital investment strategies across a diverse portfolio of projects</li>
<li>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</li>
<li>Partner cross-functionally with GPS peers, Legal, Finance, Procurement, Security, and Network teams to drive the seamless execution and delivery of high-impact construction projects</li>
<li>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</li>
<li>Create, innovate and implement relevant systems of metrics to plan, manage and measure performance pertaining to the project delivery process</li></ul><br>
<p></p>
<p><b>
You have:</b></p>
<ul>
<li>10+ years of real estate project management of industrial operations, automobile service and charging of at least 300,000 square feet</li>
<li>An understanding of various real estate typologies (workplace, lab, industrial, manufacturing, automotive service, EV charging)</li>
<li>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</li>
<li>Exceptional project delivery skills, including the ability to gather relevant jurisdictional limitations and roadblocks, as well as communicate recommendations effectively to various stakeholders</li>
<li>Advanced financial reporting and analysis acumen as well as budget management</li>
<li>Experience developing and implementing process improvements to streamline the full project delivery cycle inclusive of a strong understanding of and experience using AI tools to enhance construction management workflows</li></ul><br>
<p></p>
<p><b>
We prefer:</b></p>
<ul>
<li>A track record of proven objective analysis, having delivering projects in an atmosphere where speed, flexibility and frugality are the norm</li>
<li>Business relationship management expertise</li>
<li>Degree in construction management, architecture, engineering, real estate, business administration or finance</li>
<li>Automotive and/or rideshare sector interest, if not experience</li>
<li>Drive to work in a startup environment, ideally in tech industry</li>
<li>Commercial vehicle fleet infrastructure and electrical infrastructure/ utility upgrade delivery experience as well as other technical expertise with building and site infrastructure</li></ul><br>
<p></p>
<p><b>
Travel Requirements:</b></p>
<ul>
<li>25% Travel Time</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>$190,000&mdash;$234,000 USD</div></div></div></div></div></div></div>

Construction Project Executive - Ops

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>AI FOUNDATIONS</p>
<p>4577</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 AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.</p>
<p>
This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer.</p><br>
<p></p>
<p><b>
You will:</b></p>
<ul>
<li>Work with a creative team of people who help to build the state-of-the-art Foundation Models that are used throughout Waymo&rsquo;s systems, both onboard autonomous vehicles and offboard in simulation</li>
<li>Lead the development of end-to-end evaluation systems and benchmarks for Waymo Foundation models, encompassing the entire lifecycle from pretraining and supervised fine-tuning (SFT) to reinforcement learning (RL), for evaluating the quality, safety, and realism of embodied AI agents</li>
<li>Partner within and across organizations to land disruptive and innovative tech in production</li>
<li>Implement and extend large large scale data and evaluation pipelines</li></ul><br>
<p></p>
<p><b>
You have:</b></p>
<ul>
<li>Master&rsquo;s degree or PhD degree in Computer Science, similar technical field of study, or equivalent practical experience</li>
<li>5+ years of experience in ML engineering and applied Deep Learning, with a strong portfolio of shipped products or publication record</li>
<li>Experience with large scale distributed system</li>
<li>Proficient programming skills (eg: Python, C/C++)</li>
<li>Strong analytical and debugging skills</li></ul><br>
<p></p>
<p><b>
We prefer:</b></p>
<ul>
<li>ML infra experience: training, evaluating and deploying ML models at scale</li>
<li>Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning</li>
<li>Proficiency and in-depth knowledge of the inner workings of an ML framework (e.g. Pytorch, JAX, Tensorflow)</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>$238,000&mdash;$302,000 USD</div></div></div></div></div></div></div>

Staff Machine Learning Engineer – VLM/LLM Evaluation

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>AI FOUNDATIONS</p>
<p>4500</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 AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.</p>
<p><i>
This role follows a hybrid work schedule and you will report to a Senior Research Scientist.</i></p>
<p><b>
You will:</b></p>
<ul>
<li>Build and operate the petabyte-scale data systems and ML pipelines at the heart of Waymo's foundation model development</li>
<li>Shepherd cutting-edge foundation models from research prototypes to robust components within the Waymo Driver</li>
<li>Create the automated infrastructure for rigorously benchmarking, continuously monitoring, and safely releasing models</li>
<li>Wield large-scale compute and frameworks like Flume and JAX to process massive datasets and train/deploy complex models</li>
<li>Drive significant leaps in the speed, reliability, and efficiency of the end-to-end ML development lifecycle</li>
<li>Partner with AI Foundations, ML, and Platform experts to transform model innovations into tangible on-road improvements</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>Masters degree in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience</li>
<li>Proficiency in Python</li>
<li>Proficiency in C++</li>
<li>Familiarity with one of the modern deep learning frameworks (e.g. Pytorch, JAX, Tensorflow)</li>
<li>Experience building or maintaining large-scale data pipelines or ML infrastructure (e.g., Flume, Spark, Borg, Kubeflow)</li>
</ul>
<p><b>We prefer:</b></p>
<ul>
<li>Strong hands-on SWE skills, able to drive development of large, complex shared codebases</li>
<li>Experience in AV planning and related research</li>
<li>Experience designing and building distributed systems or MLOps platforms (e.g., model versioning, experiment tracking, CI/CD for ML)</li>
<li>Prior work in an industrial or research setting developing methodologies for the evaluation of ML models</li></ul><br>
<p></p>
<p>
((Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.))</p><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>

ML Engineer, Foundation Model Infrastructure

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>AI FOUNDATIONS</p>
<p>4391</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 AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.</p>
<p>
In this hybrid role, you will report to a Principal Scientist.</p>
<p><b>
You will:</b></p>
<ul>
<li>Participate in Waymo&rsquo;s Foundation World Model post-training and evaluation</li>
<li>Research and develop cutting edge RL and Distillation techniques for Autonomous Vehicle Trajectory Planning</li>
<li>Integrate emerging research from the broader AI community into Waymo&rsquo;s internal RL infrastructure, conducting rigorous ablations to identify and scale the most promising methods</li>
<li>Partner with engineering and research teams across Waymo to share recipes, techniques, and post-training best practices to accelerate our collective know-how</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field; with 3+ years of industry or post-doc research experience in Reinforcement Learning or Foundation Models</li>
<li>Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions</li>
<li>Proficiency in implementing model training flows in a scalable, distributed and performant manner such as Data parallel, FSDP and other sharding approaches</li>
<li>A willingness to work with complexity of globally distributed inference infrastructure</li>
</ul>
<p><b>We prefer:</b></p>
<ul>
<li>PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal learning</li>
<li>Extensive experience designing and deploying Reinforcement Learning infrastructure, specifically for on-policy learning or alignment with human preferences</li>
<li>A consistent history of original contributions to the AI community, evidenced by first-author publications at top-tier venues (e.g., NeurIPS, ICLR, ICRA) or maintaining significant open-source ML projects</li>
<li>Experience with large scale (many-machine) training infrastructure and techniques for inference with large models such as model sharding/tensor-parallel</li></ul><br>
<p></p>
<p>
((Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.))</p><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>

Research Scientist, RL for Autonomous Planning & World Modeling

Join Waymo and explore 4   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

Construction Project Executive - Ops

Staff Machine Learning Engineer – VLM/LLM Evaluation

ML Engineer, Foundation Model Infrastructure

Research Scientist, RL for Autonomous Planning & World Modeling