Staff Research Scientist, Foundation Models Recipes
Waymo · Mountain View, CA, US; San Francisco, CA, US; Kirkland, WA, US
Posted about 3 months ago
or apply directly on Waymo's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 79 days Waymo's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 0% of Waymo's roles list one
- Ghost-job risk at Waymo
- high 348 stale, 9 reposted of 353 open
- Hiring momentum
- 490 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Waymo's own greenhouse board since 2026-08-03. Full hiring picture for Waymo.
About this role
In this role, you will lead research efforts focused on data recipes for Waymo's Foundation Model, overseeing practices related to data clustering, filtering, and long-tail data mining. You will manage a team of research engineers to enhance the data flywheel using Waymo's extensive driving data, while also integrating community research and collaborating with various teams to share best practices in data-centric evaluation.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Waymo as an employer.
What you need
- PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field
- 3+ years of industry or post-doc research experience in Data-centric AI, Reinforcement Learning or Foundation Models
- Demonstration of original contributions to the field through high-impact publications or significant open-source contributions
- Proficiency and in-depth knowledge of an ML framework (e.g. Pytorch, JAX, Tensorflow)
- Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning
Nice to have
- Extensive experience working with data and recipes for large scale foundation models
- ML infra experience: training, evaluating and deploying ML models at scale
What you get
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year
- Sick Time: 40 hours/year; 5 days/event discretionary
- Maternity Leave: 28-30 weeks
- Baby Bonding Leave: 18 weeks
Worth weighing
- No specific mention of remote work availability in all locations
- Salary range provided but dependent on various factors
- Role involves managing a team, which may require additional leadership skills
Summarised from Waymo's posting. Read the full original.
Listed by Waymo on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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