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About the Role
DoorDash is seeking Software Engineers, Machine Learning to build and maintain a large-scale global infrastructure system. The role involves conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and product knowledge graph, utilizing robust data and machine learning infrastructure to create accurate, standardized, and discoverable ML solutions. This hybrid role reports to an Engineering Manager.
Responsibilities
- Develop advanced machine learning models to improve ads efficiency and quality.
- Design and build optimization algorithms for budget pacing and automated bidding.
- Establish a data-driven framework to understand the impact of bid density and market competitiveness on advertising value and platform revenue.
- Develop new data solutions (e.g., embeddings and consumer profiles) to target the relevant audience.
- Manage the end-to-end ML lifecycle, including ideation, offline model training, online shadowing/deployment, experimentation, and post-launch monitoring/measurement.
- Build and extend the current data/ML infrastructure to empower Ads data applications.
- Scale systems and services to fuel business growth.
Requirements
- M.S., or PhD. in a technical field such as computer science, mathematics, statistics, physics or equivalent.
- 3+ years ML industry experience with a solid understanding of machine learning algorithms and fundamentals.
- Experience building data/feature engineering pipelines at scale using Pyspark and Snowflake SQL.
- Experience with building machine learning systems in production using frameworks such as PyTorch, Keras, lightgbm, scikit-learn, Spark ML, or related.
- Experiences in online advertising, search relevance & ranking, or recommendation systems are preferred but not required.
Skills
- Machine Learning
- PySpark
- Snowflake SQL
- PyTorch
- Keras
- lightgbm
- scikit-learn
- Spark ML
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- 3+ years ML industry experience
Education Level
- M.S. or Ph.D. in a technical field
Salary/Compensations
- $137,100—$201,600 USD
- $167,800—$246,800 USD
- $203,500—$299,300 USD
Benefits
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- Wellness benefits
- Commuter benefits match
- Paid time off
- Paid sick leave
- Medical, dental, and vision benefits
- 11 paid holidays
- Disability and basic life insurance
- Family-forming assistance
- Mental health program
- Flexible paid time off/vacation for salaried roles
- 80 hours of paid sick time per year for salaried roles
About the Company
- DoorDash's mission is to empower local economies.
- DoorDash is a technology and logistics company.
- DoorDash is growing rapidly and changing constantly.
- DoorDash is committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Equal Opportunity
- We’re committed to growing and empowering a more inclusive community within our company, industry, and cities.
- We hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives.
- 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 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.
- We will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with applicable regulation.
- If you need any accommodations, please inform your recruiting contact upon initial connection.