Machine Learning Engineer - New Verticals
Description For Machine Learning Engineer - New Verticals
DoorDash is seeking an experienced Machine Learning Engineer to join their New Verticals team, focusing on developing cutting-edge machine learning models that power their growing grocery and retail business. This role offers an exciting opportunity to work on complex ML solutions in recommendation systems, search optimization, and product knowledge graph building.
The position requires either 1+ years of post-PhD industry experience or 3+ years of post-graduate degree experience in developing ML models with business impact. The ideal candidate should have strong expertise in various ML methods including Recommendation Systems, Search, Causal Inference, Time Series, NLP, and Computer Vision, along with proficiency in Python and frameworks like PyTorch or TensorFlow.
As part of DoorDash's mission to empower local economies, you'll be working on making the consumer shopping journey more delightful and the fulfillment system more efficient. The role offers a hybrid work arrangement with competitive compensation ranging from $137,100 to $299,300 USD, depending on level and location.
The company provides comprehensive benefits including medical, dental, and vision insurance, 401(k) with employer matching, generous parental leave (16 weeks), and mental health support. You'll be joining a diverse, inclusive team that values innovation and personal growth, working on solutions that directly impact millions of users across the platform.
Working at DoorDash means being part of 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 significant opportunity for impact, working with cross-functional teams and helping shape the future of last-mile delivery through machine learning innovation.
Responsibilities For Machine Learning Engineer - New Verticals
- Develop production machine learning solutions to solve various shopping and dashing problems including recommendation, search, logistic optimization, product knowledge graph building
- Partner with engineering, product, and business strategy leaders to help shape an ML-driven product roadmap
- Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience
Requirements For Machine Learning Engineer - New Verticals
- 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 Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision
- Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks
- 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
Benefits For Machine Learning Engineer - New Verticals
- 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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