Senior Software Engineer, ML Training Platform jobs in United States
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DoorDash · 2 days ago

Senior Software Engineer, ML Training Platform

DoorDash is building the world’s most reliable on-demand logistics engine, and they are seeking a Senior Software Engineer for their Machine Learning Training Platform. In this role, you will take ownership of major projects, create reliable solutions for data transformations and model training, and collaborate with cross-functional teams to enhance platform performance and reliability.

AppsDeliveryE-Commerce PlatformsFood DeliveryOnline Portals
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

Distributed systemsMachine learning platformsProject ownershipScalable solutionsGPU accelerationMLOps toolingLarge-scale data processingMonitoring & observabilityCloud platformsContinuous improvementCollaborationCommunication

Required

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

Preferred

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

Benefits

401(k) plan with employer matching
16 weeks of paid parental leave
Wellness benefits
Commuter benefits match
Paid time off
Paid sick leave in compliance with applicable laws
Medical, dental, and vision benefits
11 paid holidays
Disability and basic life insurance
Family-forming assistance
Mental health program

Company

DoorDash

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DoorDash is a food delivery platform that connects customers with local and national businesses. It is a sub-organization of DoorDash.

H1B Sponsorship

DoorDash has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (530)
2024 (510)
2023 (413)
2022 (612)
2021 (439)
2020 (126)

Funding

Current Stage
Public Company
Total Funding
$5.22B
Key Investors
Durable Capital PartnersT. Rowe PriceDarsana Capital Partners
2025-05-27Post Ipo Debt· $2.75B
2020-12-09IPO
2020-06-11Series H· $400M

Leadership Team

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Tony Xu
CEO and Co-founder
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Stanley Tang
Co-Founder / Chief Product Officer
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Company data provided by crunchbase