Software Engineer, Machine Learning Platform - MDX

About the TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on talented engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.About the RoleAt DoorDash, our Data Scientists and ML Engineers have the opportunity to dive into a wealth of delivery data to improve company-wide ML workflows such as Search & Recommendations, Dasher Assignment, ETA Prediction, and Dasher Capacity Planning. You will join a small team to build systems that empower efficient machine learning at scale. This is a hybrid opportunity in San Francisco, Sunnyvale or Seattle.You’re excited about this opportunity because you will…Build a world-class ML platform where models are developed, trained, and deployed seamlesslyWork closely with Data Scientists and Product Engineers to evolve the ML platform as per their use cases You will help build high performance and flexible pipelines that can rapidly evolve to handle new technologies, techniques and modeling approachesYou will work on infrastructure designs and solutions to store trillions of feature values and power hundreds of billions of predictions a dayYou will help design and drive directions for the centralized machine learning platform that powers all of DoorDash's business.Improve the reliability, scalability, and observability of our training and inference infrastructure.We’re excited about you because…B.S., M.S., or PhD. in Computer Science or equivalentExceptionally strong knowledge of CS fundamental concepts and OOP languages2+ years of industry experience in software engineeringPrior experience building machine learning systems in production such as enabling data analytics at scalePrior experience in machine learning - you've developed and deployed your own models - even if these are simple proof of conceptsSystems Engineering - you've built meaningful pieces of infrastructure in a cloud computing environment. Bonus if those were data processing systems or distributed systemsNice To HavesExperience with challenges in real-time computingExperience with large scale distributed systems, data processing pipelines and machine learning training and serving infrastructureFamiliar with Pandas and Python machine learning libraries and deep learning frameworks such as PyTorch and TensorFlowFamiliar with Spark, MLLib, Databricks,MLFlow, Apache Airflow, Dagster and similar related technologies.Familiar with large language models like GPT, LLAMA, BERT, or Transformer-based architecturesFamiliar with a cloud based environment such as AWSCompensationThe 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.For hourly roles: 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).The national base pay range for this position within the United States, including Illinois and Colorado.$130,600—$192,000 USDAbout DoorDashAt 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 by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order 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. We're 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.Our Commitment to Diversity and InclusionWe’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.Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe used 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 provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:.Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .