DoorDash is hiring a Remote Senior Data Scientist Machine Learning Search & Recommendation
About the Team\n\nCome help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on talented data scientists to help us develop and improve the models that power DoorDash's three-sided marketplace of consumers, merchants, and dashers.\nAbout the Role\n\nDoorDash users use the DoorDash app in two modes: 1) to search for specific dishes and products, restaurants, grocery or convenience stores when they have something in mind; 2) to discover new dishes and products for delivery when they do not have something specific in mind. Both use cases are very important to our users. As a recommendation and search-focused Machine Learning Scientist you will have the opportunity to identify and prioritize machine learning investments to address both of these use cases. You will leverage our robust data and infrastructure to develop models that impact millions of users across our three audiences. You will partner with an engineering lead and product manager to set the strategy that moves the business metrics which help us grow our business. In this role, you will be expected to demonstrate a strong command of production level machine learning, a passion for solving end-user problems, leadership skills to collaborate well with multi-disciplinary teams, and execution focus to prioritize effectively in a dynamic environment.\nYouโre excited about this opportunity because you willโฆ\n\n\nLead the effort for query understanding: Applying active learning, semi-supervised learning, query embedding, product and merchant embedding, entity extraction and canonicalization to improve understanding of the consumerโs intent as expressed by search query.\n\nDrive the personalization for search and recommendation: Building models to understand userโs preferences for merchant segments, product categories, dish categories, dietary preferences, etc., furthermore the personalization based on these learned preferences, and addressing the potentially significant cold start problem. \n\nExtend the search and recommendation platform from the merchant level to the item level: At the item level, the candidate set is billions in size instead of millions at the merchant level. This 1,000x increase in candidate set makes the problem much more challenging and exciting. Additional familiarity with explore/exploit algorithms, and causal inference techniques are a plus.\n\nYou can find out more on our ML blog post here\n\n\n\nWeโre excited about you becauseโฆ\n\n\nHigh-energy and confident โ you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down\n\nYouโre an owner โ driven, focused, and quick to take ownership of your work\n\nHumble โ youโre willing to jump in and youโre open to feedback\n\nAdaptable, resilient, and able to thrive in ambiguity as things change quickly in our fast-paced environment!\n\nGrowth-minded โ youโre eager to expand your skill set and excited to carve out your career path in a hyper-growth setting\n\nDesire for impact โ ready to take on a lot of responsibility and work collaboratively with your team\n\n\n\n\nExperience\n\n\n4+ years of industry experience developing recommendation/search models with business impact โ more experience preferred\n\n1+ years of industry experience serving in a tech lead role\n\nM.S., or PhD. in Statistics, Computer Science, Electric Engineering, Math, Operations Research, Physics, Economics, or other quantitative field\n\nPrior experience with query understanding a plus\n\nGood working knowledge of embedding based methods, deep learning models, and graph based models preferred\n\nDemonstrated familiarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLib\n\nExperience productionizing and A/B testing different machine learning model\n\n\n\nAbout DoorDash\n\nAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of usersโfrom Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. \n\nDoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employeesโ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.\nOur Commitment to Diversity and Inclusion\n\nWeโre committed to growing and empowering a more inclusive community within our company, industry, and cities. Thatโs why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.\n\nStatement 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 โprotected categories,โ 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 โ 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.\n\nPursuant 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.\n\nPursuant to the Colorado Fair Pay Act, the base salary range in Colorado for this position is $141,525.00 -$191,475.00 , plus opportunities for equity and commission. Compensation in other geographies may vary.\n\nIf you need any accommodations, please inform your recruiting contact upon initial connection. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Amazon, Senior, SaaS, Engineer, Education, Sales, Developer, Digital Nomad, Legal, Internship, Web, Teaching, Video, API, Mobile and Python jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐
We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States
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