About the Team
Machine Learning Platform team, builds the infrastructure and tools that enable scalable and efficient machine learning across the company. Our team is responsible for developing and maintaining the core ML infrastructure, including data pipelines, model training and serving frameworks, and feature stores. We also support large language model (LLM) deployment, enabling real-time retrieval, generation, and personalization. We work closely with product teams to deliver high-performance, reliable, and scalable machine learning solutions that drive business impact.
About the Role
As a Machine Learning Infrastructure Engineer, you will be responsible for designing, building, and optimizing LLMOps infrastructure such as generative AI gateway, data pipelines that feed into RAG systems, guardrails, batch inference, fine-tuning models, MCP servers, tool-calling, AI Agents frameworks, and more.
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You're excited about this opportunity because you will...
- You thrive on zero-to-one projects and are excited about fast development cycles, driving quick iterations and impactful outcomes.
- Architect and implement a cutting-edge Generative AI gateway, creating the central, scalable entry point for all LLM services and interactions.
- Engineer sophisticated data pipelines to power Retrieval-Augmented Generation (RAG) systems, directly connecting our models to real-time data to enhance their accuracy and relevance.
- Develop robust AI guardrails, tackling the critical challenge of ensuring our models operate safely, ethically, and responsibly.
- Pioneer the development of advanced tool-calling capabilities and AI Agent frameworks, transforming our models from information sources into intelligent agents that can execute complex tasks.
- Build and optimize scalable systems for batch inference and model fine-tuning, enabling us to customize state-of-the-art models for our unique use cases.
- Work closely with ML and Product Engineers to evolve a world-class ML platform that is reliable, scalable, and highly observable.
We're excited about you because...
- You have industry experience: 2+ years of building ML infrastructure or related disciplines.
- Familiar with large language models (LLMs) and related technologies including prompt engineering, fine-tuning, retrieval-augmented generation (RAG).
- You are a problem solver - you thrive on tackling complex technical challenges.
- You are passionate about working at the intersection of machine learning and data engineering.
Nice To Haves
- Experience with popular vector databases such as Qdrant, Pinecone, or FAISS.
- Familiarity with modern LLM frameworks and how they interact with vector search.
- Experience with real-time data processing frameworks like Spark, Flink, or Kafka.
- Experience with cloud-based infrastructure (AWS, GCP, Azure) for data and model deployment.
- Knowledge of retrieval optimization techniques for large-scale systems.
- Experience with AI Agent SDKs such as OpenAI Agents, Google ADK, CrewAI, LangGraph.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
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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).
The national base pay range for this position within the United States, including Illinois and Colorado.
$137,100-$201,600 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.