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Senior Staff Machine Learning Engineer

7 hours, 52 minutes ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
C++ Deep Learning Feature Engineering Java LLM Machine Learning NLP Python PyTorch TensorFlow XGBoost
Apply Now
DoorDash

DoorDash

DoorDash empowers small business owners by providing an affordable and convenient platform for local delivery services, primarily focusing on restaurant food delivery.

Air Freight & Logistics
10K-50K
Founded 2012
View All Jobs 82

Description

  • Lead the technical direction for AI-first ranking and relevance systems across the ads and promos delivery stack.
  • Design and build next-generation machine learning systems using sequence modeling, deep learning, and large language models.
  • Own query understanding, user and merchant representation learning, contextual relevance, and multi-objective optimization work.
  • Evaluate ML and LLM models through offline analysis and online experimentation, including metric and experiment design.
  • Own the full model lifecycle from research and data analysis through development, deployment, A/B testing, monitoring, and iteration.
  • Partner with product managers, data scientists, designers, engineers, analytics, and operations to ship user-facing improvements.
  • Translate emerging research into scalable, production-ready systems that meet strict latency, scale, and reliability constraints.
  • Drive cross-team alignment and long-term technical vision for marketplace ranking and personalization.
  • Build and improve models that impact core business and marketplace financial outcomes.

Requirements

  • 5+ years of experience building, deploying, and scaling ML and AI models for large-scale, user-facing or data-intensive products.
  • Proficiency with AI coding tools such as Claude Code, Codex, or Cursor across 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: 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 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 monitoring.
  • Strong collaboration and communication skills in fast-paced, cross-functional environments.
  • Product-minded, impact-driven approach with a passion for applying advanced ML and AI techniques to real-world problems.
  • Experience designing and deploying LLM-based systems, including prompt engineering and retrieval-augmented generation (RAG), preferred.
  • Experience solving large-scale personalization problems involving user modeling, retrieval, ranking, and relevance, preferred.
  • Contributions to the ML community through open source, publications, or applied research, preferred.

Benefits

  • Base salary range of $242,800 to $357,000 USD, depending on factors such as experience and location.
  • Opportunities for equity grants.
  • 401(k) plan with employer matching.
  • 16 weeks of paid parental leave.
  • Medical, dental, and vision benefits.
  • 11 paid holidays, plus paid time off and paid sick leave.
  • Flexible paid time off/vacation for salaried roles.
  • Wellness benefits, including wellness expense reimbursement and a mental health program.
  • Commuter benefits match, disability insurance, and basic life insurance.
  • Family-forming assistance and premium healthcare.

Interested in this position?

Apply directly on the company website

Apply Now

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