Staff Machine Learning Engineer — Personalization & Growth

Doordashusa; San Francisco (CA); Hybrid; USD 150,000 - 180,000; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

Wellness benefits

Paid time off and sick leave

Job summary

Doordashusa in San Francisco is seeking a Staff Machine Learning Engineer to develop production-level machine learning solutions that enhance customer experience and drive personalization in the retail and grocery sector. You will work in a hybrid setting, collaborating with multi-disciplinary teams to improve algorithmic capabilities.

The ideal candidate has over 8 years of experience in machine learning and a strong command of Python and modern AI coding tools. Benefits include flexible paid time off and a comprehensive benefits package.

Qualifications

• 8+ years of industry experience developing machine learning models with business impact.
• Proficiency in using AI coding tools in the software development lifecycle.
• Experience with causal inference and recommendation systems.

Responsibilities

• Develop production machine learning solutions for personalized shopping.
• Collaborate with engineering and product leaders to shape the product roadmap.
• Mentor junior team members and lead cross-functional pods.

Skills

Applied Machine Learning

Python

ML model development

Communication skills

Problem solving

Education

M.S. or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics

Tools

PyTorch

TensorFlow

AI coding tools

Job description

Doordashusa in San Francisco is seeking a Staff Machine Learning Engineer to develop production-level machine learning solutions that enhance customer experience and drive personalization in the retail and grocery sector. You will work in a hybrid setting, collaborating with multi-disciplinary teams to improve algorithmic capabilities.

The ideal candidate has over 8 years of experience in machine learning and a strong command of Python and modern AI coding tools. Benefits include flexible paid time off and a comprehensive benefits package.