Logo of Huzzle

Home

Matches

Explore

Manage

2025 Summer Intern, PhD, Planner Selection - Machine Learning Engineer

image

Waymo

2mo ago

  • Internship
    Full-time
    Summer Internship
  • Research & Development
    Software Engineering
  • Mountain View

AI generated summary

  • You must be pursuing a PhD in a related field, have experience with imitation/reinforcement learning, Python, TensorFlow/JAX, publications in top robotics conferences, and knowledge of autonomous driving.
  • You will design and implement reinforcement/imitation learning models, integrate them into the planning system, analyze performance, and stay updated on advancements in autonomous driving and ML.

Requirements

  • Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics, or a related field.
  • Experience with imitation and/or reinforcement learning
  • Proficient in Python and deep learning frameworks such as TensorFlow or JAX.
  • Publications in top-tier robotics conferences such as ICML, NeurIPS, IROS, CoRL, or RSS.
  • Experience in the autonomous driving domain, including areas like motion planning, perception, or control.
  • Familiarity with software engineering best practices and version control systems.

Responsibilities

  • Collaborate with researchers and engineers to design, develop, and implement reinforcement/imitation learning models for autonomous vehicle planning.
  • Integrate these models into our production planning system, ensuring seamless functionality and optimized performance.
  • Analyze model performance and identify areas for improvement.
  • Stay up-to-date on the latest advancements in autonomous driving and machine learning.

FAQs

What is the location of the internship?

The internship will be based on-site at our headquarters in Mountain View, CA.

What is the duration of the internship?

The internship is for the summer of 2025.

What are the primary responsibilities of the intern?

The intern will collaborate with researchers and engineers to design, develop, and implement reinforcement/imitation learning models, integrate these models into the production planning system, analyze model performance, and stay updated on advancements in autonomous driving and machine learning.

What qualifications are required to apply for this internship?

Candidates must be currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics, or a related field and have experience with imitation and/or reinforcement learning.

What programming languages or frameworks should applicants be proficient in?

Applicants should be proficient in Python and deep learning frameworks such as TensorFlow or JAX.

Is research publication an important criterion for this internship?

Yes, we prefer candidates with publications in top-tier robotics conferences such as ICML, NeurIPS, IROS, CoRL, or RSS.

What type of experience is preferred in a candidate?

We prefer candidates with experience in the autonomous driving domain, including areas like motion planning, perception, or control.

What is the expected hourly pay for this internship?

The expected hourly pay for this full-time position is $60.10 USD.

Are interns eligible for benefits?

Yes, interns are eligible to participate in the company’s generous benefits programs, subject to eligibility requirements.

How should I apply if I am interested in multiple roles?

To be considered for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

image

Waymo

Waymo is an autonomous driving technology company creating a new way forward in mobility.

Technology
Industry
1001-5000
Employees
2009
Founded Year

Mission & Purpose

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.

Culture & Values

  • Our customers are at the heart of everything we do

    We put our customers’ needs first in the products and experiences we create, so that we can help transform their lives.

  • Safety is our foundation

    We follow rigorous engineering development and test practices, analyzing and applying industry safety standards where appropriate, and continuously improving existing and developing new safety methods.

  • We pioneer

    We challenge conventions and past assumptions to create a future where the Waymo Driver transforms global mobility.

  • Act with thoughtful urgency

    We set and land ambitious plans without compromising safety and make the best decisions based on the information available, valuing critical thinking and collaboration.

  • Respect each other

    We act with humility and treat others with respect regardless of tenure or title, and we assume positive intent of our colleagues to bring forth ideas and act in Waymo’s best interests.

  • Be responsible owners

    We use company resources thoughtfully, are mindful of sustainability, and make decisions that are in the best interest of Waymo.

  • We’re stronger together

    We recognize that no one can solve the challenges we tackle on their own, so we’re building an inclusive culture where all Waymonauts collaborate and feel valued and engaged.

  • Optionality creates opportunities

    Keeping our options open is inherently valuable, so we approach our work with an open mind and make the best decisions at the right time – not too soon, not too late.

  • Always be learning

    We stay undaunted, curious, and open-minded to reflect and learn from both our successes and failures, and we adapt quickly to new data and information.

  • Celebrate progress

    We recognize that every step matters, so we pause to mark major milestones and celebrate the pioneering achievements that move us forward.

Benefits

  • Competitive total rewards

    We offer generous medical, dental and vision benefits. We also offer competitive base pay and equity packages

  • Compelling Challenges

    We work on cutting-edge technology in a fast-moving and mission-driven environment. our passionate workforce and mission is dedicated to brining our autonomous driving technology to the world