Senior Applied Machine Learning Engineer - Merchant Menu

Doordash - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Couriers and Messengers

About the position

As a Senior Applied Machine Learning Engineer at DoorDash, you will play a pivotal role in enhancing our logistics engine for last-mile retail delivery. This position is designed for an experienced machine learning engineer who is passionate about developing AI solutions that optimize Merchant menus, which are crucial for both Merchants and Consumers. You will leverage our robust data and machine learning infrastructure to conceptualize, design, and evaluate advanced AI/ML solutions. Your expertise in production-level machine learning will be essential as you collaborate with multi-disciplinary teams to lead strategic initiatives and guide junior team members in executing these projects. In this role, you will utilize cutting-edge technologies such as computer vision, natural language processing (NLP), generative AI, entity resolution, and deep learning to create the best consumer-facing menus for our Merchants. You will work closely with engineering and product leaders to develop a machine learning-driven product roadmap. Your responsibilities will encompass the entire modeling lifecycle, including feature creation, model development and deployment, experimentation, monitoring, explainability, and model maintenance. You will also be tasked with developing production machine learning solutions that operate in both batch and real-time environments, ensuring a world-class experience for our Merchants. This position offers an exciting opportunity to make a significant impact on the way DoorDash serves its customers and partners. You will be at the forefront of innovation in the logistics and delivery space, using your skills to drive meaningful change and improve the overall efficiency of our operations.

Responsibilities

• Utilize machine learning infrastructure to build AI solutions for optimizing Merchant menus.
• Conceptualize, design, and evaluate AI/ML solutions.
• Lead the strategy and guide junior team members in execution.
• Leverage computer vision, NLP, and deep learning technologies to enhance consumer-facing menus.
• Collaborate with engineering and product leaders to build a machine learning-driven product roadmap.
• Own the modeling lifecycle end-to-end, including feature creation, model development, deployment, and maintenance.
• Develop production machine learning solutions for both batch and real-time applications.

Requirements

• 5+ years of industry experience developing machine learning models with business impact.
• M.S. or PhD in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields.
• Expertise in applied machine learning for computer vision, NLP, deep learning, embeddings, and LLMs.
• Strong communication skills to convey technical details to non-technical stakeholders.
• Proficient in Python with experience in Spark, PyTorch, or TensorFlow.
• Familiarity with Kotlin or Scala.

Nice-to-haves

• Familiarity with experimentation and graph-based models.
• A growth-minded and collaborative mindset.

Benefits

• Comprehensive healthcare benefits including premium healthcare and wellness expense reimbursement.
• 401(k) plan with employer match.
• Short-term and long-term disability coverage.
• Basic life insurance.
• Paid time off and paid parental leave.
• Several paid holidays.
• Opportunities for equity grants.