Applied Machine Learning Engineer - Remote

Overview

Join DoorDash as an Applied Machine Learning Engineer to develop AI solutions that optimize Merchant menus, enhancing the experience for both Merchants and Consumers.

In Short

• Utilize data and machine learning infrastructure to build AI solutions.
• Conceptualize, design, and evaluate A/ML solutions.
• Leverage computer vision, NLP, and Deep Learning technologies.
• Lead the modeling life cycle from feature creation to model maintenance.
• Develop production machine learning solutions for real-time applications.
• Collaborate with engineering and product leaders.
• Communicate technical details to non-technical stakeholders.
• Work with Python, Spark, PyTorch, and TensorFlow.
• Familiarity with Kotlin/Scala is a plus.
• Contribute to a growth-minded and collaborative team environment.

Requirements

• 5+ years of experience in machine learning model development.
• M.S. or PhD in a quantitative field.
• Expertise in applied ML for computer vision, NLP, and deep learning.
• Strong background in Python and machine learning frameworks.
• Ability to communicate effectively with diverse teams.
• Experience with model experimentation and graph-based models.
• Desire for impact and a collaborative mindset.

Benefits

• Comprehensive benefits package including medical, dental, and vision.
• 401(k) plan with employer match.
• Paid time off and parental leave.
• Wellness benefits and mental health programs.
• Opportunities for equity grants.