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  • Emplois similaires à : Machine Learning Engineer - Conversation AI
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Machine Learning Engineer - Conversation AII did my part and supported the Regular Toilet • Seattle, Washington, United States
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Machine Learning Engineer - Conversation AI

I did my part and supported the Regular Toilet
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Postuler Maintenant

À propos

About the Team Come help us build the world's most reliable on-demand, logistics engine for delivery! We're looking for an experienced ML Engineer to help us develop and improve the models that power DoorDash's three-sided marketplace of consumers, merchants, and dashers. The team is responsible for building a leading industry level NLP/LLM system to empower all communication for DoorDash Journey, also building recommendation/personalization to provide best experience.
About the Role As a Machine Learning Engineer you will have the opportunity to identify and prioritize machine learning investments across our conversation AI & personalization ecosystem. You will leverage our robust data and infrastructure to develop natural language processing and personalization models that impact millions of users across our three audiences. You will partner with an engineering lead and product manager to set the strategy that moves the business metrics which help us grow our business.
You’re excited about this opportunity because you will…
Lead the development of DoorDash's support chatbot & LLM system: Applying LLM, active learning, semi‑supervised learning, weak label generation, documentation embedding/retrieval and data augmentation strategies to improve the consumer, dasher, and merchant support experience
Drive the personalization of DoorDash's issue prediction & resolution policies: Using both personalization, recommendation and dynamic pricing modeling technologies to serve millions of customers on personalized prediction resolution for any issues they might encounter during their journey
Spearhead the creation of next‑generation LLM AI Agent tools: Building Co‑pilot system to evolve how millions of users interact with our support system
Apply stratification, variance reduction, and other advanced experiment design techniques to create A/B tests to efficiently measure the impact of your innovations while minimizing risk to the broader system
We’re excited about you because you have…
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
Based near one of our engineering hubs: San Francisco, Sunnyvale, Los Angeles, Seattle, and New York
Deep understanding of natural language processing techniques and procedures for efficiently acquiring and validating human‑labeled data
Good experience in overall big data analysis, system, and 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
Familiarity with advanced causal inference techniques and contextual bandit algorithms preferred
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. We also strive to prevent other subtler forms of inappropriate behavior. 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.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records.
If you need any accommodations, please inform your recruiting contact upon initial connection.
Compensation The location‑specific base salary range for this position is listed below. Compensation in other geographies may vary. Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For remote roles, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.
DoorDash cares about you and your overall well‑being, and that’s why we offer a comprehensive benefits package, for full‑time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short‑term and long‑term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
In addition to base salary, the compensation package for this role also includes opportunities for equity grants.
California: $140,100 — $210,100 USD
Washington: $140,100 — $210,100 USD
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  • Seattle, Washington, United States

Compétences linguistiques

  • English
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