Senior ML Engineer, Agentic Foundations — Hybrid (LLM Agents)

DoorDash, Inc.; Sunnyvale (CA); Híbrido; USD 168.000 - 247.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401(k) plan with employer matching

16 weeks paid parental leave

Wellness benefits

Commuter benefits match

Paid time off and paid sick leave

Descripción de la vacante

DoorDash, Inc. is seeking a Senior Machine Learning Engineer to join Agentic Foundations, focusing on Vertical Agent Development and improving flagship agents, starting with the Ask Assistant.

You will drive an eval-driven loop to enhance speed, cost efficiency, and reliability for millions of customers, while preparing production-ready agents for Merchants and Dashers. You will collaborate with teams working on memory, representations, and post-training of small language models, ensuring

Formación

• 3+ years of industry ML experience with hands-on work building and shipping LLM-based agents (tool use, context management, prompting, guardrails) and improving them with evals and data.
• Experience with post-training or fine-tuning of open-weights models (e.g., SFT, preference optimization, or RL), ideally including small language models.
• Strong foundation in NLP and machine learning, with proficiency in Python and frameworks such as PyTorch or TensorFlow

Responsabilidades

• Raise the quality of our Consumer agents: build and refine our eval harness-optimization loop to pinpoint failure modes, then iterate on prompts, tools, skills, and context, and measure the impact on real customer tasks.
• Find the best balance of quality, latency, and cost: run rigorous experiments, including fine-tuning open-weights models and deploying small language models (SLMs) where they can replace or augment larger LLMs.
• Launch new agents: take agentic opportunities for Merchants and Dashers from early exploration to production.
• Turn foundations into product impact: work with teammates on agentic memory, agent-compatible product representations, and post-training SLMs for steerable generative recommendation, and bring those capabilities into production agents.
• Shape the roadmap: partner with engineering, product, and business leaders to define an ML-driven strategy for our fast-growing grocery and retail delivery business.

Conocimientos

LLM agents

Eval-driven testing

Python

PyTorch

NLP fundamentals

Educación

MS/PhD in CS/Stats

Herramientas

Open-weight models

Descripción del empleo

DoorDash, Inc. is seeking a Senior Machine Learning Engineer to join Agentic Foundations, focusing on Vertical Agent Development and improving flagship agents, starting with the Ask Assistant.

You will drive an eval-driven loop to enhance speed, cost efficiency, and reliability for millions of customers, while preparing production-ready agents for Merchants and Dashers. You will collaborate with teams working on memory, representations, and post-training of small language models, ensuring