Staff Software Engineer, Machine Learning - Voice Ordering AI

About the Role We’re looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and our product knowledge graph at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production‑level machine learning and experience with solving end‑user problems who enjoys collaborating with multi‑disciplinary teams. You will report into the engineering manager on our New Verticals, Catalog ML team. We expect this role to be hybrid with some time in‑office and some time remote. Why This Opportunity Excites You Develop production machine learning solutions to solve catalog building and quality problems such as entity recognition, entity resolution, attribute extraction, and category classification, image classification. Partner with engineering, product, and business strategy leaders to help shape an ML‑driven product roadmap and grow a multi‑billion dollar retail delivery business. Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world‑class shopping and dashing experience. What We’re Looking For 8+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production. Experience with machine learning methods in building product knowledge graphs. Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), Graph‑based Models, and Computer Vision. S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields. The desire for impact with a growth‑minded and collaborative mindset Compensation The location‑specific base salary range for this position is listed below. Compensation in other geographies may vary. Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information. DoorDash cares about you and your overall well‑being, and that’s why we offer a comprehensive benefits package, for full‑time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short‑term and long‑term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others. In addition to base salary, the compensation package for this role also includes opportunities for equity grants. 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. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. Payroll Ranges California Pay Range: $201,900—$302,900 USD New York Pay Range: $201,900—$302,900 USD Washington Pay Range: $201,900—$302,900 USD #J-18808-Ljbffr DoorDash