About the Team

Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop the AI/ML to power DoorDash growing Merchants. 

About the Role

We’re looking for a passionate Applied Machine Learning expert to join our team. In this role, you will utilize our robust data and machine learning infrastructure to build new AI solutions to optimize Merchant menus, the most important properties for both Merchant and Consumers. You’ll be conceptualizing, designing, and evaluating A/ML solution. You will be expected to demonstrate a strong command of production-level machine learning, a passion to collaborate with multi-disciplinary teams to lead the strategy and junior team member to execute.

You’re excited about this opportunity because you will…

• Leverage computer vision, NLP, GenAI, entity resolution, Deep Learning to create the best Consumer facing menus for Merchants. 
• Lead with engineering and product leaders to build ML-driven product roadmap.
• Own the modeling life cycle end-to-end including feature creation, model development and deployment, experimentation, monitoring and explainability, and model maintenance. 
• Develop production machine learning solutions batch and realtime to provide the world class merchant experience. 

You can find out more on our ML blog here

We’re excited about you because you have…

• 5 years of industry experience developing machine learning models with business impact, and shipping ML solutions to production. 
• M.S., or PhD. in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields.
• Expertise in applied ML for computer vision, NLP, deep learning, embeddings, LLMs. Additional familiarity with experimentation and graph-based models! 
• Ability to communicate technical details to nontechnical stakeholders
• Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. 
• Familiarity with Kotlin/Scala. 
• 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

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey