Machine Learning Engineer - Conversation AI
Description For Machine Learning Engineer - Conversation AI
DoorDash is seeking an experienced Machine Learning Engineer to join their team focused on building industry-leading NLP/LLM systems for their three-sided marketplace. This role offers an exciting opportunity to work on cutting-edge conversation AI and personalization technologies that impact millions of users.
The position involves leading the development of DoorDash's support chatbot and LLM systems, implementing sophisticated personalization strategies, and creating next-generation AI agent tools. You'll work with advanced technologies including LLMs, active learning, and semi-supervised learning techniques to enhance the support experience across consumer, dasher, and merchant interactions.
As part of DoorDash's mission to empower local economies, you'll be contributing to a rapidly growing technology company that's evolving from food delivery to a comprehensive goods delivery platform. The role offers competitive compensation ($137,100 - $299,300 based on level and location) and comprehensive benefits including healthcare, 401(k) matching, and generous parental leave.
The ideal candidate should have 3+ years of industry experience in developing optimization models, an advanced degree in a quantitative field, and deep expertise in NLP and machine learning. You'll be working from one of DoorDash's engineering hubs in San Francisco, Sunnyvale, Los Angeles, or Seattle, collaborating with cross-functional teams to drive business impact through innovative AI solutions.
This role presents an excellent opportunity for those passionate about applying machine learning to real-world problems at scale, with the chance to influence the future of on-demand logistics through advanced AI technologies.
Responsibilities For Machine Learning Engineer - Conversation AI
- Lead the development of DoorDash's support chatbot & LLM system
- Drive the personalization of DoorDash's issue prediction & resolution policies
- Spearhead the creation of next-generation LLM AI Agent tools
- Apply stratification, variance reduction, and other advanced experiment design techniques
- Build Co-pilot system to evolve how millions of users interact with our support system
Requirements For Machine Learning Engineer - Conversation AI
- 3+ years of industry experience developing optimization models with business impact, including 1+ year(s) of industry experience serving in a tech lead role
- M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
- Deep understanding of natural language processing techniques
- Good experience in overall big data analysis, system, backed integration with new ML system/solution
- Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inference
- Familiarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLib
- Experience productionizing and A/B testing different machine learning models
Benefits For Machine Learning Engineer - Conversation AI
- 401(k) plan with employer matching
- Paid time off and sick leave
- Medical, dental, and vision benefits
- 16 weeks paid parental leave
- Wellness benefit
- Commuter benefit match
- Disability and basic life insurance
- Family-forming assistance
- Mental health program
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