Staff ML Engineer - Personalization & Growth

DoorDash; San Francisco (CA); Hybrid; USD 137,100 - 201,600; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

Medical, dental, and vision benefits

Job summary

A leading logistics company seeks a Staff Machine Learning Engineer to enhance its retail delivery business. The role involves developing machine learning solutions that improve customer experiences, collaborating with product and engineering leaders, and mentoring junior members. Candidates should have 8+ years of experience, a strong background in applied machine learning, and expertise in Python and ML tools like PyTorch or TensorFlow. This position offers a hybrid working model based in San Francisco, CA.

Qualifications

• 8+ years of experience developing machine learning models with business impact.
• Strong command of production-level machine learning.
• Experience with Causal Inference and Recommendation Systems.

Responsibilities

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

Skills

Applied ML expertise

Python programming

Communication with stakeholders

Education

M.S. or PhD in a quantitative field

Tools

PyTorch

TensorFlow

Job description

A leading logistics company seeks a Staff Machine Learning Engineer to enhance its retail delivery business. The role involves developing machine learning solutions that improve customer experiences, collaborating with product and engineering leaders, and mentoring junior members. Candidates should have 8+ years of experience, a strong background in applied machine learning, and expertise in Python and ML tools like PyTorch or TensorFlow. This position offers a hybrid working model based in San Francisco, CA.