About the Team

DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you!

About the Role

You will be a valuable and developing member of the Service Operations team at DoorDash Labs. You will build on your existing technical skills to perform diagnostic, maintenance, and repair work to keep our robot fleet and electric bicycles operating at peak performance, supporting our fleet utilization goals. You will work closely with Senior Service Technicians and your manager to expand your troubleshooting skills, gain deeper familiarity with our systems, and progressively take on more complex repairs. This is an on-site role with expectations of 100% in-office presence in Sunnyvale, CA.

You’re excited about this opportunity because you will…

• Perform standard and intermediate Service Technician tasks with growing independence, including service and upkeep of robotic systems and electric bicycles.
• Repair common faults in robotic platforms, modular components, electric bicycle drivetrains, and support vehicles using established troubleshooting procedures.
• Assist with complex or unusual faults alongside senior or lead technicians to learn advanced diagnostic methods for both robotic systems and e-bikes.
• Complete repairs on electrical systems, control units, battery packs, and hardware under guidance, with opportunities to develop toward independent advanced repairs.
• Use and interpret technical manuals, schematics, and diagnostic flowcharts to guide your work, applying these resources to both robot and electric bicycle service tasks.
• Document all diagnostic steps, repair actions, and component failures in the service management system to maintain accurate records and support fleet readiness.
• Learn from and collaborate with experienced technicians, accepting mentorship and applying feedback to improve your skills across multiple vehicle types.
• Follow preventive maintenance schedules and procedures to reduce downtime and extend the life of fleet equipment, including battery care for both robots and e-bikes.

We operate 7 days a week, 16 hrs a day to support Robot Operations. During training, you will be on a temporary schedule until your on-the-job training is completed over a few weeks. Once training is complete in Dublin, CA, you will move to your permanent shift assignment that will be based on business need, either an AM or PM shift with weekend coverage. To ensure you can plan accordingly, permanent shift reassignments are provided with at least two weeks' notice.

We’re excited about you because you have…

• 1+ year of service work experience
• Curiosity and an inclination for all things mechanical and repair
• Strong communication and documentation skills 
• Prior experience in vehicle, bicycle, or fleet service (especially for electric or autonomous vehicles),  robotics, or aircraft is a major plus
• Experience with JIRA, MaintainX, and other service tools and systems is a major plus
• Valid U.S. drivers license required and a successful completion of MVR required

About the Team

The Ads & Promos Delivery team powers the last-mile delivery of ads and promotions, two marketing products offered to merchants, connecting merchant intent with consumer demand across search and discovery experiences. As a Principal Engineer, you will lead the technical direction for AI-first experiences, including ranking and relevance systems that sit at the core of our ads marketplace and shape how ads are selected, ordered, and personalized in real time across all verticals.

You will design and build next-generation AI-first ranking systems using state-of-the-art techniques such as sequence modeling, deep learning, and large language models (LLMs). Your work will span query understanding, user and merchant representation learning, contextual relevance, and multi-objective optimization, balancing advertiser value, consumer experience, and marketplace health at scale.

You will set the long-term technical vision, drive cross-team alignment, and translate cutting-edge research into production systems that operate under strict latency, scale, and reliability constraints.

As DoorDash expands into 40+ global markets and new verticals such as Grocery and Retail, this role offers a rare opportunity to define how modern AI, including sequential models and LLM-powered decisioning, reshapes ads relevance in a closed-loop marketplace.

About the Role

• Apply state-of-the-art machine learning and LLM techniques to problems across personalization, query understanding, user and content understanding.
• Rigorously evaluate ML and LLM models using a combination of offline analysis and online experimentation, designing metrics and experiments that clearly measure quality, impact, and tradeoffs.
• Own the full model lifecycle from research to production, including data analysis, model development, evaluation, offline and online A/B testing, and continuous iteration.
• Partner closely with product managers, data scientists, and designers to ensure AI-driven systems deliver meaningful, user-facing improvements.
• Stay at the forefront of ML and AI innovation by assessing emerging research and translating promising approaches into scalable, production-ready systems.

This is a high-impact role for someone who enjoys combining economic intuition, large-scale ML modeling, and applied engineering to solve complex real-world optimization problems.

You’re excited about this opportunity because you will…

• Own impactful ML systems: Build and improve models that directly have a large impact on top and bottom line financials.
• Collaborate cross-functionally: Partner with engineering, analytics, product, and operations to iterate quickly, moving models from prototype to production
• Shape the future: We're one of the fastest growing Ads platforms in the world and we're looking to take that even further!

We’re excited about you because you have…

• 5+ years of experience building, deploying, and scaling ML and AI models for large-scale, user-facing or data-intensive products.
• BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Deep expertise in one or more of the following areas: deep learning, large language models, information retrieval, ranking and relevance, recommendation systems, natural language processing, or content understanding.
• Strong programming skills in Python, Java, or C++, with hands-on experience using ML frameworks such as PyTorch, TensorFlow, or XGBoost.
• Extensive experience across the full ML lifecycle, including data analysis, feature engineering, iterative model development, rigorous offline and online evaluation, and ongoing monitoring and improvement.
• Strong collaborator and communicator who thrives in fast-paced, cross-functional environments.
• Product-minded and impact-driven, with a passion for applying cutting-edge ML and AI techniques to real-world problems.

Bonus Points For

• Experience designing and deploying LLM-based systems, including prompt engineering and retrieval-augmented generation (RAG) architectures, Generative RecSys.
• Experience solving large-scale, user-centric and content-centric personalization problems, including user modeling, retrieval, ranking, and relevance.
• Demonstrated contributions to the ML community through open-source projects, publications, or applied research in areas such as ML, NLP, information retrieval, or related fields.

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.

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