Find DoorDash Staff Software Engineer software engineering jobs

Technology and logistics company that started with door-to-door delivery, building the world's most reliable on-demand logistics engine for delivery.

DoorDash is seeking a Machine Learning Platform Engineer to join their team in building the world's most reliable on-demand logistics engine for delivery. This role focuses on creating and maintaining a 24x7, no-downtime global infrastructure system that powers DoorDash's three-sided marketplace. The position offers an opportunity to work with vast amounts of delivery data to improve company-wide ML workflows including Search & Recommendations, Dasher Assignment, ETA Prediction, and Capacity Planning.

The ideal candidate will have strong experience in building machine learning systems in production and developing infrastructure in cloud environments. You'll be responsible for building a world-class ML platform, working with Data Scientists and Product Engineers to create flexible pipelines that can handle new technologies and modeling approaches. The role involves designing solutions to manage trillions of feature values and power hundreds of billions of daily predictions.

DoorDash offers a comprehensive benefits package including competitive salary, equity grants, 401(k) with employer match, healthcare benefits, and various wellness programs. The company is committed to diversity and inclusion, fostering an environment where team members can make impactful decisions and own their careers. This hybrid role provides the flexibility to work from either San Francisco Bay Area or Seattle offices.

The position requires 6+ years of industry experience, strong CS fundamentals, and proven experience with machine learning systems. You'll be part of a team that's transforming DoorDash from a food delivery company to a comprehensive goods delivery platform, making a significant impact on local economies.

Senior ML Platform Engineer role at DoorDash, building scalable machine learning infrastructure for delivery logistics optimization.

Machine Learning Platform Engineer

DoorDash is a technology and logistics company that started with door-to-door delivery, now expanding to deliver any and all goods.

DoorDash is seeking a passionate Staff Machine Learning Engineer to join their Personalization team. This role involves developing production machine learning solutions to build a world-class personalized shopping experience for a diverse and expanding retail space. The ideal candidate will have 8+ years of industry experience in developing ML models with business impact, an advanced degree in a quantitative field, and expertise in applied ML for Causal Inference and Recommendation Systems. 

Key responsibilities include:
- Conceptualizing, designing, implementing, and validating algorithmic improvements for growth and personalization experiences in DoorDash's grocery and retail delivery business.
- Using robust data and ML infrastructure to implement new ML solutions for more relevant, seamless, and delightful consumer search experiences across various retail categories.
- Partnering with engineering and product leaders to shape the product roadmap applying ML.
- Mentoring junior team members and leading cross-functional pods to create collective impact.

The role offers opportunities for equity grants and a comprehensive benefits package. DoorDash values diversity and inclusion, encouraging applications from individuals of all backgrounds. The position is hybrid, allowing for both in-office and remote work.

If you're passionate about applied machine learning, have a strong command of production-level ML, experience solving end-user problems, and collaborate well with multi-disciplinary teams, this could be an exciting opportunity to make a significant impact in the fast-growing world of on-demand retail and grocery delivery.

Staff Machine Learning Engineer role at DoorDash, developing ML solutions for personalized shopping experiences in retail and grocery delivery.

Staff Machine Learning Engineer

DoorDash is a technology and logistics company that started with door-to-door delivery, aiming to empower local economies.

DoorDash is seeking a passionate staff level Applied Machine Learning expert to join their team. In this role, you will utilize robust data and machine learning infrastructure to develop a comprehensive AI/ML service for accurate tax categorization of billions of restaurant and non-restaurant items. You'll lead and build production-level AI/ML solutions, collaborate cross-functionally, and push the boundaries of LLM capabilities while leading the AI product strategy for the team.

Key responsibilities include:
- Leading and developing cutting-edge ML-driven tax catalog solutions using Generative AI
- Designing ML products to solve large-scale categorization problems at the transaction level
- Collaborating with engineering and product leaders to shape the product roadmap leveraging AI/ML
- Owning the full modeling lifecycle from feature creation to model maintenance
- Exploring new opportunities where AI/ML can benefit new business, markets, and regions

The ideal candidate will have:
- 6+ years of industry experience leading and developing advanced ML models with business impact
- Expertise in applied ML for deep learning, NLP, LLM, and multi-modality models
- M.S. or Ph.D. in a quantitative field
- Strong communication skills and ability to explain technical details to non-technical stakeholders
- Proficiency in Python, with experience in Spark, PyTorch, or TensorFlow
- Familiarity with Kotlin/Scala

DoorDash offers a comprehensive benefits package, including a 401(k) plan with employer match, paid time off, parental leave, wellness benefits, and medical, dental, and vision coverage for full-time employees.

Join DoorDash to help build the world's most reliable on-demand logistics engine for last-mile retail delivery and be part of a diverse, inclusive team committed to innovation and growth.

Staff Applied Machine Learning Engineer at DoorDash: Lead AI/ML solutions for tax categorization and shape product strategy.

DoorDash Staff Software Engineer Software Engineering Jobs

Find DoorDash Staff Software Engineer software engineering jobs