Senior Engineer, Machine Learning Science - Computer Vision and Large Language Models

Key Skills

Aartificial intelligence, Computer Vision (CV), Large Language Models - LLMs, Machine learning techniques

Job Description

About the Team

Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for a talented machine learning engineer to help us develop the AI/ML that powers DoorDash's growing Drive Business.

About the Role

We’re looking for a passionate Applied Machine Learning expert to join our team. In this role, you will leverage our robust data and machine learning infrastructure to implement new AI/ML solutions to build a seamless consumer voice ordering experience, and improve delivery quality for merchants, dashers, and consumers for the Drive Business. As a Senior Machine Learning Scientist, you’ll be conceptualizing, designing, evaluating, and implementing new AI solutions to DoorDash, building and fine-tuning Large Language Models and computer vision models. You will be expected to demonstrate a strong command of production-level machine learning, a passion for solving end-user problems, leadership skills to collaborate well with multi-disciplinary teams, and execution focused to prioritize effectively in a dynamic environment. 

You’re excited about this opportunity because you will…

• Develop production machine learning solutions to build a world-class voice ordering AI solution, and computer vision platform.
• Bring top-notch AI solutions to DoorDash
• Partner with engineering and product leaders to help shape the product roadmap leveraging ML. 
• Lead cross-functional pods to generate collective impact.

We’re excited about you because you have…

• 4+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production. 
• Deep expertise in language models, computer vision, and deep learning. 
• Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow preferred. 
• You must be located near one of our engineering hubs which includes: San Francisco, Sunnyvale, Los Angeles, Seattle, and New York
• Familiarity with causal inference and experimentation is a plus.
• Great communication skills - written and verbal.
• M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
• High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down
• You’re an owner — driven, focused, and quick to take ownership of your work
• Humble — you’re willing to jump in and you’re open to feedback
• Adaptable, resilient, and able to thrive in ambiguity as things change quickly in our fast-paced environment!
• Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
• Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team

Compensation

The location-specific base salary range for this position is listed below. Compensation in other geographies may vary.

Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.

DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.

In addition to base salary, the compensation package for this role also includes opportunities for equity grants.

• California Pay Range: $149,500—$238,000 USD
• New York Pay Range: $149,500—$238,000 USD
• Washington Pay Range: $149,500—$238,000 USD