<div><p> </p></div><h1><strong>About the Team</strong></h1> <p>Come help us build the worlds most reliable on-demand, logistics engine for last-mile retail delivery! Were looking for an experienced machine learning engineer to help us develop the AI/ML to power DoorDash growing Merchants. </p> <h1><strong>About the Role</strong></h1> <p>We’re looking for a passionate staff level Applied Machine Learning expert to join our team. In this role, you will utilize our robust data and machine learning infrastructure to develop a comprehensive AI/ML service to create accurate tax categorization for billions of restaurants and non-restaurants items at DoorDash. You will be expected to lead and build a production-level AI/ML solution, collaborate cross-functionally, and push the boundaries of LLM capabilities and lead the AI product strategy for the team to execute. </p> <h1><strong>You’re excited about this opportunity because you will…</strong></h1> <ul> <li>Lead and develop cutting-edge ML-driven tax catalog solutions, utilizing Generative AI to efficiently manage and organize tax categorization information.</li> <li>Design ML products to solve large scale categorization problems transaction level for DoorDash. </li> <li>Lead with engineering and product leaders to shape the product roadmap leveraging AI/ML.</li> <li>Own the modeling life cycle end-to-end including feature creation, model development and deployment, experimentation, monitoring and explainability, and model maintenance. </li> <li>Being exposed to new opportunities where AI/ML can be used as a lever that benefits new business, new markets, and new regions.</li> </ul> <p>You can find out more on our ML blog <a href="https://doordash.engineering/category/data-science-and-machine-learning/">here</a></p> <h1><strong>We’re excited about you because you have…</strong></h1> <ul> <li>6+ years of industry experience leading and developing advanced machine learning models with business impact, and shipping ML solutions to production. </li> <li>Expertise in applied ML for deep learning, NLP, LLM, and multi-modality models</li> <li>M.S., or PhD. in Statistics, Computer Science, Economics, Math, Physics, or other quantitative fields.</li> <li>Ability to communicate technical details to nontechnical stakeholders</li> <li>Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow preferred. </li> <li>Familiarity with Kotlin/Scala.</li> <li>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</li> <li>The desire for impact with a growth-minded and collaborative mindset</li> </ul> <br /><p>Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only</p><p>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 <a href="https://getcovey.com/product/covey-scout-inbound">Covey Scout for Inbound</a> from August 21, 2023, through December 21, 2023, and resumed using <a href="https://getcovey.com/product/covey-scout-inbound">Covey Scout for Inbound</a> again on June 29, 2024.</p><p>The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: <a href="https://getcovey.com/nyc-local-law-144">Covey</a></p><div><div><div><p><span><strong>Compensation<br /></strong></span></p> <p>The successful candidates 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.</p> <p>In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.</p> <p>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.</p> <p>To learn more about our benefits, visit our careers page <a href="https://careers.doordash.com/">here</a>.</p> <p>See below for paid time off details:</p> <ul> <li><strong>For salaried roles:</strong> flexible paid time off/vacation, plus 80 hours of paid sick time per year.</li> <li><strong>For hourly roles:</strong> vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).</li> </ul> <p><strong>The national base pay ranges for this position within the United States, including Illinois and Colorado.</strong></p></div><div>I4</div><div><span>$137,100</span><span>—</span><span>$201,600 USD</span></div></div><div><div>I5</div><div><span>$167,800</span><span>—</span><span>$246,800 USD</span></div></div><div><div>I6</div><div><span>$203,500</span><span>—</span><span>$299,300 USD</span></div></div></div><div><h1><strong>About DoorDash</strong></h1> <p>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. <br /><br /><span>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.</span></p> <h1><strong>Our Commitment to Diversity and Inclusion</strong></h1> <p>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.</p> <p><span>Statement of Non-Discrimination</span><span>: 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.</span></p> <p><span>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.</span></p> <p>If you need any accommodations, please inform your recruiting contact upon initial connection.</p></div>

DoorDash

Staff Machine Learning Engineer - Merchant Tax Categorization Service

DoorDash

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