Buscar empleo: 485 ofertas de trabajo de service engineer en San Francisco, California (octubre 2025) - page 9

DoorDash USA

Machine Learning Engineer, Forecast Platform

hace 3 días

San Francisco

Sunnyvale, CA; San Francisco, CA; Seattle, WA Come help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the operational efficiency of DoorDash's three-sided marketplace of consumers, merchants, and dashers. The Forecasting Platform provides a unique opportunity to have a broad impact on the business ensuring we can quickly respond to a rapidly changing operational environment. The team supports projects across all of our major pillars (e.g. supply / demand, auto-scaling infrastructure, support optimization) as well as the development of an internal decision platform for time series. As a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers. • Build time-dependent statistical and ML models that solve product needs across our verticals - e.g. matching supply / demand, predicting support needs, providing insights to our internal platforms (ads, experiments, merchant), auto-scale infrastructure and optimize business processes such as promotions, • Own the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance, • Contribute to the development of our in-house Forecasting Self-Service Platform and proprietary Forecasting Repository to uplevel our capabilities, • Research new tools within the Forecasting space (e.g. TimeGPT, LLM extensions), • You can find out more on our ML blog post here, • High-energy and confident — 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, • You’re an owner — driven, focused, and quick to take ownership of your work, • Humble — you’re willing to jump in and you’re open to feedback, • Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!, • Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting, • Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team, • M.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in production, • Demonstrated expertise with object-oriented programming and ML Libraries, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etc, • Deep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 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 (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. I4 $137,100 - $201,600 USD I5 $167,800 - $246,800 USD I6 $203,500 - $299,300 USD At 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 users—from 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. DoorDash 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. Were committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s 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. 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. If you need any accommodations, please inform your recruiting contact upon initial connection. indicates a required field First Name * Last Name * Email * Phone Country * Phone * Location (City) * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select... Degree Select... LinkedIn Profile * How much did content from the DoorDash Engineering blog influence your decision to apply for a role at DoorDash? * Select... Are you legally authorized to work in the United States? * Select... Will you now require immigration sponsorship by our company to attain or maintain your employment eligibility (e.g., H-1B, E-3, TN, O-1, STEM OPT, or any immigration work authorization requiring a written submission from the company to a government agency)? * Select... Have you worked at DoorDash? * Select... Please Note: Previous corporate employees should select "I am a previous employee" and previous DoorDash Dashers should select "I am a previous DoorDash Dasher". Applicant Privacy Acknowledgement * Select... We would like to provide you with an overview of how we process your personal information. Please take the time to read theApplicant Privacy Notice and confirm that you have read and understand the content. We would like to contact you via SMS or WhatsApp to provide updates on your progress. Mark yes if you agree. If you mark no, we will contact you via the email you provided. * Select... Do you have 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impact? * Select... Will you in the future require immigration require immigration sponsorship by our company to attain or maintain your employment eligibility (e.g., H-1B, E-3, TN, O-1, STEM OPT, or any immigration work authorization requiring a written submission from the company to a government agency)? * Select... As described in our Applicant Privacy Notice, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in DoorDash’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Select... Do you identify as transgender? * Select... Are you Hispanic or Latinx? * Select... Race () * Select... #J-18808-Ljbffr

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