Job Description

Senior Software Engineer, ML Training Platform

San Francisco, CA; Sunnyvale, CA; Seattle, WA

About the Team

DoorDash is building the world’s most reliable on-demand logistics engine. Behind the scenes, our Machine Learning Platform (MLP) powers critical real-time decision-making for millions of orders each day, supporting business-critical use cases like Ads, Groceries, Logistics, Fraud, and Search.

About the Role

As a Senior Software Engineer in the team, you will take ownership of major projects within our ML Training Platform—creating reliable, extensible solutions for data transformations, distributed model training, and rapid experimentation in production. You’ll collaborate closely with ML Engineers, Platform & Infra engineers, and partner teams to ensure our platform supports high-volume, GPU-accelerated training in a fast-evolving environment.

This is a hybrid opportunity in San Francisco, Sunnyvale, or Seattle.

You’re excited about this opportunity because you will…

• Drive Key Training Initiatives – Own and deliver significant sub-projects that enhance our platform’s performance, reliability, and ease of use.
• Architect & Implement Scalable Solutions – Design resilient pipelines for distributed model training (e.g., PyTorch, LightGBM) on Kubernetes, optimizing for both short-term speed and long-term maintainability.
• Collaborate with Cross-Functional Teams – Work with ML engineers, Data Scientists, and product stakeholders to refine requirements, set realistic milestones, and ensure smooth delivery.
• Set a High Bar for Quality & Reliability – Lead by example with clean, high-performance code, thorough design reviews, and a focus on observability, incident mitigation, and continuous improvement.
• Mentor & Influence – Help level up peers by sharing knowledge, driving best practices, and contributing to a supportive team culture that values empathy and technical excellence.

We’re excited about you because…

• 6+ years of industry experience in software engineering, with a deep understanding of distributed systems and data-intensive ML pipelines in production.
• Hands-On ML Platform/Infra Experience – You’re familiar with modern machine learning stacks (e.g., PyTorch, LightGBM, TensorFlow) and have built or maintained large-scale training environments.
• Strong CS fundamentals – You excel at crafting solutions that handle scale, complexity, and reliability challenges.
• Proven Project Ownership – You can break down complex initiatives, estimate accurately, and deliver major projects with minimal oversight.
• Collaboration & Communication – You’re adept at partnering across functions, setting expectations, and ensuring alignment among diverse stakeholders.
• Thrive on Continuous Improvement – You proactively identify gaps, reduce technical debt, and optimize resource usage, balancing cost and performance.

Nice To Haves

• GPU Acceleration – Experience with GPU-enabled training and its associated performance optimizations.
• MLOps Tooling – Familiarity with orchestration and tracking frameworks such as Metaflow, MLflow, Dagster, or Airflow.
• Large-Scale Data Processing – Knowledge of Spark, Hadoop, or other distributed data processing technologies.
• Monitoring & Observability – Proficiency with metrics and alerting solutions (e.g., Prometheus, Grafana).
• Cloud Platforms – Experience with AWS or GCP for scalable compute, container orchestration, and cost management.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

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.
• 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).

I4

$130,600 — $192,000 USD

I5

$159,800 — $235,000 USD

I6

$193,800 — $285,000 USD

About DoorDash

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. 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 Inclusion

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.

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Job Tags

Hourly pay, Full time, Temporary work, Work at office, Local area, Remote work, Flexible hours,

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