Machine Learning Engineer – New Verticals Catalog
| Company | DoorDash |
|---|---|
| Location | Seattle, WA, USA, San Francisco, CA, USA, Los Angeles, CA, USA, Sunnyvale, CA, USA |
| Salary | $137100 – $299300 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Junior, Mid Level |
Requirements
- 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impact
- Experience with machine learning methods in building product knowledge graphs
- Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models
- M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields
- The desire for impact with a growth-minded and collaborative mindset
Responsibilities
- Develop production machine learning solutions to solve catalog building and quality problems such as entity recognition, entity resolution, attribute extraction, category classification, and image classification
- Partner with engineering, product, and business strategy leaders to help shape our ML-driven product roadmap and grow a multi-billion dollar retail delivery business
- Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience
Preferred Qualifications
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No preferred qualifications provided.