Staff Software Engineer, Machine Learning - Personalization

DoorDash US
San Francisco, Sunnyvale
Workplace: HybridFull timeUSD 137,100 - 299,300 annuallyFunction: Software EngineeringExperience: 8+ yearsEducation: mastersSkills: ["Communication","Leadership","Mentoring","Collaboration","Problem-solving"]

Experienced machine learning engineer on the Personalization team building production ML solutions for growth and personalization in DoorDash’s retail and grocery space. You’ll design, implement, and validate algorithmic improvements, collaborate with engineering and product teams, mentor others, and operate hybrid in-office/remote. Focus areas include search relevance, multi-category retail experiences, and scalable ML tooling.

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FursaFursa
DoorDash US
DoorDash US
2 years ago

Staff Software Engineer, Machine Learning - Personalization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Experienced machine learning engineer on the Personalization team building production ML solutions for growth and personalization in DoorDash’s retail and grocery space. You’ll design, implement, and validate algorithmic improvements, collaborate with engineering and product teams, mentor others, and operate hybrid in-office/remote. Focus areas include search relevance, multi-category retail experiences, and scalable ML tooling.
Location: San Francisco, Sunnyvale
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space
  • •Partner with engineering and product leaders to help shape the product roadmap applying ML
  • •Mentor junior team members, and lead cross functional pods to create collective impact
  • •Collaborate with cross-disciplinary teams to translate business goals into ML-powered features
  • •Contribute to the design, implementation, and validation of ML models and infrastructure in production

Pay and Benefits

Salary: USD 137,100 - 299,300 annually
Perks:Health Insurance401k

Key Requirements

  • •8+ years of industry experience developing machine learning models with business impact and shipping ML solutions to production
  • •M.S. or PhD in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
  • •Expertise in applied ML for Causal Inference and Recommendation Systems (classical and deep learning) with familiarity with explore/exploit/MAB algorithms and LLMs is a plus
  • •Machine learning background in Python; experience with PyTorch or TensorFlow preferred
  • •Ability to communicate technical details to nontechnical stakeholders
Experience:8+ yearsRetailOn-demand deliveryE-commerce
Education:Master's
Skills:CommunicationLeadershipMentoringCollaborationProblem-solving
Languages:English
Tech Stack:PythonPyTorchTensorFlowCausal inferenceMABLLMs

Company Brief

DoorDash US
On-demand logistics platform connecting consumers with local restaurants, grocers, and retailers for food delivery, pickup, and convenience services. Operates a marketplace and last-mile delivery network while offering tools and analytics for merchants and couriers.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn