{"id":2092341,"url":"https://alion.io/job/doordash-software-engineer-machine-learning-platform-mdx","title":"Software Engineer, Machine Learning Platform - MDX","company":{"id":3685,"name":"DoorDash","domain":"doordash.com","url":"https://alion.io/company/doordash-usa","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":77,"open_postings":93,"ghost_share":0,"stale_share":0.71,"repost_share":0,"time_to_fill_p50_days":62,"computed_at":"2026-10-08T05:49:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":6,"max":25,"currency":"PEN","period":"hour","gross":null,"usd_annual":14000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Airflow","optional":true},{"name":"AWS","optional":true},{"name":"BERT","optional":true},{"name":"Dagster","optional":true},{"name":"Databricks","optional":true},{"name":"MLFlow","optional":true},{"name":"Pandas","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-08T14:17:34Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-09T03:41:44Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Team\nCome 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.\nAbout the Role\nAt 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.\nYou’re excited about this opportunity because you will…\nBuild a world-class ML platform where models are developed, trained, and deployed seamlessly\nWork closely with Data Scientists and Product Engineers to evolve the ML platform as per their use cases \nYou will help build high performance and flexible pipelines that can rapidly evolve to handle new technologies, techniques and modeling approaches\nYou will work on infrastructure designs and solutions to store trillions of feature values and power hundreds of billions of predictions a day\nYou will help design and drive directions for the centralized machine learning platform that powers all of DoorDash's business.\nImprove the reliability, scalability, and observability of our training and inference infrastructure.\nWe’re excited about you because…\nB.S., M.S., or PhD. in Computer Science or equivalent\nExceptionally strong knowledge of CS fundamental concepts and OOP languages\n2+ years of industry experience in software engineering\nPrior experience building machine learning systems in production such as enabling data analytics at scale\nPrior experience in machine learning - you've developed and deployed your own models - even if these are simple proof of concepts\nSystems Engineering - you've built meaningful pieces of infrastructure in a cloud computing environment. Bonus if those were data processing systems or distributed systems\nNice To Haves\nExperience with challenges in real-time computing\nExperience with large scale distributed systems, data processing pipelines and machine learning training and serving infrastructure\nFamiliar with Pandas and Python machine learning libraries and deep learning frameworks such as PyTorch and TensorFlow\nFamiliar with Spark, MLLib, Databricks,MLFlow, Apache Airflow, Dagster and similar related technologies.\nFamiliar with large language models like GPT, LLAMA, BERT, or Transformer-based architectures\nFamiliar with a cloud based environment such as AWS\nCompensation\nThe 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.\nIn addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.\nDoorDash 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.\nTo learn more about our benefits, visit our careers page here.\nSee below for paid time off details:\nFor salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.\n 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).\nThe national base pay range for this position within the United States, including Illinois and Colorado.\n$130,600—$192,000 USD\nAbout DoorDash\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 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.\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 employees’ 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\nWe’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.\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 “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.\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.\nIf you need any accommodations, please inform your recruiting contact upon initial connection.\n\nNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only\nWe 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.\nThe Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.\nBeware 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.","description_format":"text","description_chars":8178,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Transportation & Logistics","Delivery","Marketplaces"],"lifecycle":[{"event":"open","at":"2026-10-08T15:07:58Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 504 · green card filings: 110","filings_12m":504,"filings_prev_12m":584,"green_card_filings_12m":110,"median_offered_wage_usd":172500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":312}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":62,"reasons":["conf:0","win:early","comp:junior,brand"],"computed_at":"2026-10-09T04:22:26Z"},"pay":{"stated_usd_annual":14000,"is_top_pay":false},"html_url":"https://alion.io/job/doordash-software-engineer-machine-learning-platform-mdx","json_url":"https://alion.io/job/doordash-software-engineer-machine-learning-platform-mdx.json","meta":{"generated_at":"2026-10-09T04:22:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4000,"day_limit":5000,"remaining_today":1000,"minute_limit":60,"resets_at":"2026-10-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3685},"rest":"https://alion.io/mcp/rest/get_company?id=3685"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdoordash-software-engineer-machine-learning-platform-mdx"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdoordash-software-engineer-machine-learning-platform-mdx"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdoordash-software-engineer-machine-learning-platform-mdx"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/doordash-software-engineer-machine-learning-platform-mdx\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdoordash-software-engineer-machine-learning-platform-mdx"}]}