REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Senior Staff Machine Learning Engineer, Consumer
XX
Senior Staff Machine Learning Engineer, ConsumerFairygodboss • San Francisco, California, United States
Jetzt Bewerben
XX

Senior Staff Machine Learning Engineer, Consumer

Fairygodboss
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Jetzt Bewerben

Über

About the Team The Consumer Engineering Team is responsible for helping consumers discover and order everything they love globally. Our work spans the entire consumer journey across homepage, search, store discovery, item exploration, checkout and post checkout. We aim to craft a hyper-personalized, delightful and frictionless experience for millions of our customers. About the Role As a Senior Staff Machine Learning Engineer on Core Cx, you will set the personalization (P13n) strategy for the entire consumer shopping journey and bring that strategy to life. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across restaurant, grocery, retail and all business at DoorDash. You will modernize the recommendation system leveraging AI. You will demonstrate a strong command of production level machine learning, experience with solving end‑user problems, and collaborate well with multi-disciplinary teams. Responsibilities Drive the engineering vision, strategy, and execution for an organization of 150+ Grow, build, and nurture impactful business-focused product engineering teams. Scale the team by developing leaders internally and attracting world‑class talent Mentor and guide a fast‑growing organization in setting the right architectural patterns, working with various vendors in the space, and making judicious investments in the right areas anticipating what the company needs a few years down the road. Partner with Business, Product, and other Engineering teams to transform DoorDash from local commerce to agentic commerce Qualifications B.S. or M.S. in Computer Science or equivalent. 10+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production. Proficiency in using AI coding tools (e.g., Claude Code) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Proven ability to drive multi‑quarter technical roadmaps as a technical lead, with clear ownership of architectural decisions. Deep expertise in deep learning, and fine‑tuning. Hands‑on experience optimizing LLM systems (e.g., fine‑tuning, advanced prompting strategies, structuring JSON/tool‑calling outputs). Strong technical intuition paired with the ability to influence and align cross‑functional stakeholders. Humility and growth mindset, leading through expertise and collaboration, not hierarchy. Compensation The successful candidate's starting pay will fall within the national base pay range of $242,800-$357,000 USD. Base salary is localized according to an employee's work location. In addition to base salary, the compensation for this role includes opportunities for equity grants. Benefits 401(k) plan with employer matching 16 weeks of paid parental leave Wellness benefits Commuter benefits match Paid time off and paid sick leave in compliance with applicable laws Medical, dental, and vision benefits 11 paid holidays Disability and basic life insurance Family‑forming assistance Mental health program Statement of Non‑Discrimination In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non‑binary or gender non‑conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently‑abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non‑discrimination. We will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection.
#J-18808-Ljbffr
  • San Francisco, California, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.