Machine Learning Engineer - Conversation AI
Description For Machine Learning Engineer - Conversation AI
DoorDash is seeking an experienced Machine Learning Engineer to join their team in developing and improving models that power their three-sided marketplace. This role focuses on building industry-leading NLP/LLM systems for communication and recommendation/personalization systems.
The position offers an exciting opportunity to work on cutting-edge conversational AI and personalization technologies that impact millions of users. You'll be responsible for leading the development of DoorDash's support chatbot & LLM system, implementing sophisticated machine learning techniques including active learning, semi-supervised learning, and data augmentation strategies.
As part of the role, you'll drive personalization initiatives for issue prediction and resolution policies, leveraging advanced modeling technologies to serve DoorDash's vast customer base. You'll also spearhead the creation of next-generation LLM AI Agent tools, building Co-pilot systems that will revolutionize user interactions with the support system.
The ideal candidate should have 3+ years of industry experience in developing optimization models with demonstrated business impact, including leadership experience. A strong academic background (M.S. or Ph.D.) in a quantitative field is required, along with deep expertise in natural language processing, big data analysis, and machine learning.
DoorDash offers a comprehensive benefits package including competitive salary ranges from $137,100 to $299,300 USD (depending on level and location), equity grants, medical/dental/vision insurance, 401(k) matching, generous parental leave, and various other wellness benefits. The company maintains a strong commitment to diversity and inclusion, fostering an environment where innovative thinking and personal growth are encouraged.
Working at DoorDash means joining a rapidly growing technology company that's transforming from a food delivery service to a comprehensive logistics platform for any and all goods. The role offers the opportunity to make significant impacts on real-world problems while working with cutting-edge AI technologies in a collaborative, fast-paced environment.
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
- Must be located near one of our engineering hubs
Benefits For Machine Learning Engineer - Conversation AI
- 401(k) plan with employer matching
- Flexible vacation plus 80 hours of paid sick time per year
- 16 weeks of paid parental leave
- Wellness benefit
- Commuter benefit match
- Medical, dental, and vision benefits
- 11 paid holidays
- Disability and basic life insurance
- Family-forming assistance
- Mental health program
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