Senior Software Engineer, Machine Learning - Ads Intelligence

Doordash - San Francisco, CA

Full-time - Senior

Hybrid - San Francisco, CA

Couriers and Messengers

About the position

We're looking for a passionate Applied Machine Learning expert to join our team. As a Senior Machine Learning Engineer, you'll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams. This role is hybrid, allowing for some time in-office and some time remote, and you will report to the engineering manager on our New Verticals Consumer ML team.

Responsibilities

• Develop production machine learning solutions to build a world-class personalized shopping experience for a diverse and expanding retail space.
• Partner with engineering and product leaders to help shape the product roadmap in ML.
• Mentor junior team members and lead cross-functional pods to create collective impact.

Requirements

• 5+ years of industry experience developing machine learning models with business impact and shipping ML solutions to production.
• Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based.
• Familiarity with explore/exploit/MAB algorithms and LLMs.
• Machine learning background in Python; experience with PyTorch or TensorFlow preferred.
• Familiarity with Kotlin/Scala.
• Ability to communicate technical details to non-technical stakeholders.
• M.S. or PhD in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.

Nice-to-haves

• Desire for impact with a growth-minded and collaborative mindset.

Benefits

• Comprehensive healthcare benefits
• 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
• Several paid holidays
• Opportunities for equity grants