DoorDash · 6 months ago
Applied Machine Learning Engineer - Causal Inference Recommendation
Sunnyvale, CA
Part-time
Onsite
Mid Level
$137K/yr - $202K/yr
3+ years expDoorDash is a food delivery platform that connects customers with local and national businesses. They are seeking an experienced Applied Machine Learning Engineer to develop AI/ML solutions that enhance merchant selection and drive growth by building recommendation systems and utilizing robust data and machine learning infrastructure.
AppsDeliveryE-Commerce PlatformsFood DeliveryOnline Portals
Responsibilities
Develop production machine learning solutions, which is a central intelligence to power multiple teams including Sales Operation, Product, and Marketing
Partner with engineering and product leaders to help shape the product roadmap leveraging AI/ML
Own the modeling life cycle end-to-end including feature creation, model development and deployement, experimentation, monitoring and explainability, and model maintenance
Find new ways to use diverse data sources, and modeling techniques, such as NLP, ranking, personalization, image classification, and entity resolution to touch base with merchants at the right time and provide AI driven world class merchant experience
Qualification
Required
1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impact
Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based
Additional familiarity with experimentation, computer vision, and LLMs!
M.S., or PhD. in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields
Ability to communicate technical details to nontechnical stakeholders
Strong machine learning background in Python
You keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down
The desire for impact with a growth-minded and collaborative mindset
Preferred
Experience with Spark, PyTorch or TensorFlow preferred
Familiarity with Kotlin/Scala
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
DoorDash is a food delivery platform that connects customers with local and national businesses. It is a sub-organization of DoorDash.
10001+ employees
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 CompanyTotal Funding
$5.22BKey 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
Tony Xu
CEO and Co-founder
Stanley Tang
Co-Founder / Chief Product Officer
Recent News
2026-01-13
Company data provided by crunchbase