Senior Applied Machine Learning Engineer - Merchant Menu

DoorDash is seeking a Senior Applied Machine Learning Engineer to join their Merchant Menu team, focusing on building AI/ML solutions to optimize merchant menus - a critical component for both merchants and consumers. This role sits at the intersection of cutting-edge machine learning and real-world business impact, utilizing technologies like computer vision, NLP, GenAI, and deep learning.

The position offers an opportunity to work with DoorDash's robust data and machine learning infrastructure, where you'll be responsible for the entire ML lifecycle - from conceptualization to production deployment. You'll collaborate with engineering and product leaders to shape the ML-driven product roadmap while leading junior team members in execution.

The role requires a strong technical background with 5+ years of industry experience in developing and deploying ML models, along with advanced education in quantitative fields. You'll be working with modern ML technologies including Python, PyTorch/TensorFlow, and Kotlin/Scala, while applying expertise in computer vision, NLP, and large language models.

DoorDash offers a comprehensive benefits package including competitive salary ranges from $137,100 to $299,300 USD (depending on level and location), equity grants, extensive healthcare benefits, 401(k) matching, and flexible vacation policy. The company's mission to empower local economies drives their fast-paced, iterative approach to problem-solving.

This is an ideal role for someone who wants to make a significant impact in the logistics and delivery space while working with cutting-edge ML technologies. The position offers the opportunity to work in major tech hubs including San Francisco, Sunnyvale, Seattle, or New York, with a strong focus on collaboration and innovation.