Staff Software Engineer, Machine Learning - Personalization
About the Team
Join us in building the world's most reliable on-demand, logistics engine for last-mile retail delivery. We're seeking an experienced machine learning engineer to develop modern growth and personalization models that power DoorDash's expanding retail and grocery business.
About the Role
We're looking for a passionate Applied Machine Learning expert to join our team. As a Staff 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 enhance the consumer search experience.
- 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 applying ML
- Mentor junior team members, and lead cross-functional pods to create collective impact
About the Team
The Storage teams build and operate online stateful systems and abstractions that are reliable, efficient, secure, and easy to use for DoorDash Engineering. The teams are responsible for understanding Product Engineering's evolving needs and developing platform and infrastructure capabilities to serve them. The team currently supports CockroachDB, Cassandra, Kafka, and Redis as well as data abstraction services to reduce the complexity of interacting with storage systems for Product Engineers.
About the Role
We're hiring a Data Solutions Engineer with deep expertise in distributed databases, particularly Apache Cassandra, Redis, Kafka, and database agnostic abstractions. In this role, you will design, optimize, and scale distributed data access layers that power DoorDash's most critical systems, ensuring high availability, low latency, and fault tolerance.
- Design and implement highly scalable, fault-tolerant distributed database solutions using Taulu, Apache Cassandra, Redis, Kafka, and other paved path storage solutions
- Architect and optimize multi-region, globally distributed systems to meet our high standards for availability, latency, and throughput
- Lead data modeling, performance tuning, and capacity planning for large-scale, mission-critical storage workloads
- Partner with product engineering and infrastructure teams to deeply understand domain-specific data needs and guide them in adopting paved path storage solutions
- Serve as the DRI for solutioning engagements, owning modeling in Taulu from experimentation through launch and scale
- Shape the evolution of Taulu by identifying abstraction gaps and converting customer feedback into platform improvements
- Apply workload-aware design patterns, including caching strategies, partitioning, and consistency tuning to improve performance and efficiency
- Drive adoption of operational best practices across observability, schema design, capacity planning, and cost optimization across storage systems
- Promote clarity and continuity by contributing to solutioning playbooks, decision logs, and architectural documentation
Compensation
The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.
About DoorDash
At DoorDash, our mission is to empower local economies. We enable door-to-door delivery and are looking for team members who can help us expand beyond just food delivery to any and all goods. We are committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave, and more.
Our Commitment to Diversity and Inclusion
We are dedicated to growing and empowering a more inclusive community within our company, industry, and cities. We hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives, believing that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.