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DoorDash USA

Senior Staff Machine Learning Engineer

DoorDash USA · San Francisco, CA; Sunnyvale, CA

Posted about 2 months ago

or apply directly on DoorDash USA's site. We never take the application ourselves.

Is this posting real?

This role has been open
55 days
DoorDash USA's roles stay open a median of 55 days
Reposted
No
Salary listed
No
0% of DoorDash USA's roles list one
Ghost-job risk at DoorDash USA
high
338 stale, 8 reposted of 462 open
Hiring momentum
682 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-27

Measured from postings appearing on and disappearing from DoorDash USA's own greenhouse board since 2026-08-03. Full hiring picture for DoorDash USA.

About this role

As a Senior Staff Machine Learning Engineer on the Ads & Promos Delivery team, you will lead the development of AI-driven ranking systems for ads, focusing on real-time personalization and relevance. Your responsibilities include designing and building machine learning models, evaluating their performance, and collaborating with cross-functional teams to implement impactful solutions. This role offers a unique opportunity to shape the future of ads relevance as DoorDash expands into new markets and verticals.

Our read on this posting3.2out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
5/5
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 DoorDash USA as an employer.

What you need

  • 5+ years of experience building, deploying, and scaling ML and AI models for large-scale, user-facing or data-intensive products
  • Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle
  • BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience
  • Deep expertise in one or more of the following areas: deep learning, large language models, information retrieval, ranking and relevance, recommendation systems, natural language processing, or content understanding
  • Strong programming skills in Python, Java, or C++, with hands-on experience using ML frameworks such as PyTorch, TensorFlow, or XGBoost
  • Extensive experience across the full ML lifecycle, including data analysis, feature engineering, iterative model development, rigorous offline and online evaluation, and ongoing monitoring and improvement

Nice to have

  • Experience designing and deploying LLM-based systems, including prompt engineering and retrieval-augmented generation (RAG) architectures, Generative RecSys
  • Experience solving large-scale, user-centric and content-centric personalization problems, including user modeling, retrieval, ranking, and relevance
  • Demonstrated contributions to the ML community through open-source projects, publications, or applied research in areas such as ML, NLP, information retrieval, or related fields

What you get

  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • wellness benefits
  • commuter benefits match
  • paid time off and paid sick leave
  • medical, dental, and vision benefits

Worth weighing

  • No specific mention of the tech stack beyond ML frameworks, which may imply a focus on legacy systems or limited exposure to newer technologies
  • The role involves high-impact responsibilities, which may lead to significant pressure and expectations
  • The salary range is broad and may vary significantly based on location and experience, which could affect negotiation

Summarised from DoorDash USA's posting. Read the full original.

Listed by DoorDash USA on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.

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