Base Salary
$269k - $395k/yr
Responsibilities
- Lead the design and development of AI-first ranking systems for ads and promotions.
- Evaluate machine learning models through offline analysis and online experimentation.
- Manage the full model lifecycle from research to production, including data analysis and A/B testing.
- Collaborate with product managers, data scientists, and designers to enhance user-facing systems.
- Stay updated on ML and AI innovations and implement scalable solutions.
Requirements
- 5+ years of experience in building and deploying ML and AI models for large-scale products.
- BS, MS, or PhD in Computer Science, Engineering, or a related field.
- Deep expertise in areas such as deep learning, large language models, and natural language processing.
- Strong programming skills in Python, Java, or C++, with experience in ML frameworks.
- Extensive experience across the full ML lifecycle, including model development and evaluation.
- Excellent collaboration and communication skills in fast-paced environments.
- Product-minded and impact-driven with a passion for real-world applications of ML.
Benefits
- Comprehensive benefits package including medical, dental, and vision coverage.
- 401(k) plan with employer matching.
- 16 weeks of paid parental leave.
- Flexible paid time off and paid sick leave.
- Wellness benefits and commuter benefits match.
- Mental health program and family-forming assistance.
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. 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. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.