Find DoorDash USA Staff Software Engineer software engineering jobs

DoorDash is a technology and logistics company that started with door-to-door delivery, empowering local economies through its three-sided marketplace of consumers, merchants, and dashers.

At DoorDash, we're building the world's most reliable on-demand logistics engine for delivery. We're seeking talented engineers to create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.

As a Staff Software Engineer in Machine Learning Infrastructure, you'll join a small team to build systems that empower efficient machine learning at scale. You'll work closely with Data Scientists and Product Engineers to evolve the ML platform, build high-performance and flexible pipelines, and design infrastructure solutions to store trillions of feature values and power hundreds of billions of predictions daily.

Key Responsibilities:
• Build a world-class ML platform for seamless model development, training, and deployment
• Design and drive directions for the centralized machine learning platform powering all of DoorDash's business
• Improve the reliability, scalability, and observability of our training and inference infrastructure
• Work on infrastructure designs to handle new technologies, techniques, and modeling approaches

Requirements:
• B.S., M.S., or Ph.D. in Computer Science or equivalent
• 6+ years of industry experience in software engineering
• Strong knowledge of CS fundamentals and OOP languages
• Experience building machine learning systems in production and enabling data analytics at scale
• Hands-on experience developing and deploying machine learning models
• Systems engineering experience, particularly in cloud computing environments

Nice-to-Have Skills:
• Experience with real-time computing challenges
• Familiarity with large-scale distributed systems, data processing pipelines, and ML infrastructure
• Knowledge of Python ML libraries, deep learning frameworks (PyTorch, TensorFlow)
• Experience with Spark, MLLib, Databricks, MLFlow, Apache Airflow, Dagster
• Familiarity with large language models and Transformer-based architectures
• Experience with cloud environments like AWS

This role offers a competitive salary range of $171,600 - $252,400 USD, along with opportunities for equity grants and comprehensive benefits. Join us in empowering local economies and building the future of on-demand delivery!

Join DoorDash as a Staff Software Engineer in Machine Learning Infrastructure to build world-class ML systems at scale.

Staff Software Engineer, Machine Learning Infrastructure

DoorDash is a technology and logistics company that started with door-to-door delivery, empowering local economies through last-mile retail delivery.

DoorDash is seeking a Staff Machine Learning Engineer for their Personalization team to develop modern growth and personalization models for their growing retail and grocery business. The role involves conceptualizing, designing, implementing, and validating algorithmic improvements to enhance the consumer search experience across grocery, convenience, and other retail categories.

Key Responsibilities:
• Develop production machine learning solutions for a world-class personalized shopping experience
• Partner with engineering and product leaders to shape the product roadmap applying ML
• Mentor junior team members and lead cross-functional pods

Requirements:
• 8+ years of industry experience developing ML models with business impact and shipping ML solutions to production
• M.S. or Ph.D. in a quantitative field (Statistics, Computer Science, Math, Operations Research, Physics, Economics)
• Expertise in applied ML for Causal Inference and Recommendation Systems
• Machine learning background in Python; experience with PyTorch or TensorFlow preferred
• Strong communication skills and ability to explain technical details to non-technical stakeholders
• Growth-minded and collaborative mindset with a focus on impact

The role offers competitive compensation, equity grants, and comprehensive benefits. DoorDash values diversity and inclusion, encouraging applications from candidates of all backgrounds.

This hybrid position requires some time in-office and some remote work, reporting to the engineering manager on the Personalization team. The company is committed to building a reliable on-demand logistics engine for last-mile retail delivery and seeks passionate individuals to join their innovative team.

DoorDash seeks a Staff ML Engineer for Personalization to develop growth and recommendation models for their retail and grocery business.

Staff Software Engineer, Machine Learning - Personalization

DoorDash is a technology and logistics company that started with door-to-door delivery, and is looking for team members who can help go from a company that is known for delivering food to a company that people turn to for any and all goods.

Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on talented engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.

At DoorDash, our Data Scientists and ML Engineers have the opportunity to dive into a wealth of delivery data to improve company-wide ML workflows such as Search & Recommendations, Dasher Assignment, ETA Prediction, and Dasher Capacity Planning. You will join a small team to build systems that empower efficient machine learning at scale. This is a hybrid opportunity in San Francisco, Sunnyvale or Seattle.

You're excited about this opportunity because you will:
• Build a world-class ML platform where models are developed, trained, and deployed seamlessly
• Work closely with Data Scientists and Product Engineers to evolve the ML platform as per their use cases 
• Help build high performance and flexible pipelines that can rapidly evolve to handle new technologies, techniques and modeling approaches
• Work on infrastructure designs and solutions to store trillions of feature values and power hundreds of billions of predictions a day
• Help design and drive directions for the centralized machine learning platform that powers all of DoorDash's business
• Improve the reliability, scalability, and observability of our training and inference infrastructure

We're excited about you because:
• B.S., M.S., or PhD. in Computer Science or equivalent
• Exceptionally strong knowledge of CS fundamental concepts and OOP languages
• 6+ years of industry experience in software engineering
• Prior experience building machine learning systems in production such as enabling data analytics at scale
• Prior experience in machine learning - you've developed and deployed your own models - even if these are simple proof of concepts
• Systems Engineering - you've built meaningful pieces of infrastructure in a cloud computing environment. Bonus if those were data processing systems or distributed systems

Nice To Haves:
• Experience with challenges in real-time computing
• Experience with large scale distributed systems, data processing pipelines and machine learning training and serving infrastructure
• Familiar with Pandas and Python machine learning libraries and deep learning frameworks such as PyTorch and TensorFlow
• Familiar with Spark, MLLib, Databricks, MLFlow, Apache Airflow, Dagster and similar related technologies
• Familiar with large language models like GPT, LLAMA, BERT, or Transformer-based architectures
• Familiar with a cloud based environment such as AWS

DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package for all regular employees that includes a 401(k) plan with an employer match, paid time off, paid parental leave, wellness benefits, and several paid holidays.

Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, disability and basic life insurance, family-forming assistance, a commuter benefit match, and a mental health program, among others.

Staff Software Engineer, Machine Learning Infrastructure position at DoorDash USA, building world-class ML platforms and infrastructure for efficient machine learning at scale.

DoorDash is a technology and logistics company that started with door-to-door delivery, empowering local economies through on-demand delivery services.

Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop the AI/ML to power DoorDash growing Merchants. 

We're looking for a passionate staff level Applied Machine Learning expert to join our team. In this role, you will utilize our robust data and machine learning infrastructure to develop a comprehensive AI/ML service to create accurate tax categorization for billions of restaurants and non-restaurants items at DoorDash. You will be expected to lead and build a production-level AI/ML solution, collaborate cross-functionally, and push the boundaries of LLM capabilities and lead the AI product strategy for the team to execute. 

You're excited about this opportunity because you will:
• Lead and develop cutting-edge ML-driven tax catalog solutions, utilizing Generative AI to efficiently manage and organize tax categorization information.
• Design ML products to solve large scale categorization problems transaction level for DoorDash. 
• Lead with engineering and product leaders to shape the product roadmap leveraging AI/ML.
• Own the modeling life cycle end-to-end including feature creation, model development and deployment, experimentation, monitoring and explainability, and model maintenance. 
• Being exposed to new opportunities where AI/ML can be used as a lever that benefits new business, new markets, and new regions.

We're excited about you because you have:
• 6+ years of industry experience leading and developing advanced machine learning models with business impact, and shipping ML solutions to production. 
• Expertise in applied ML for deep learning, NLP, LLM, and multi-modality models
• M.S., or PhD. in Statistics, Computer Science, Economics, Math, Physics, or other quantitative fields.
• Ability to communicate technical details to nontechnical stakeholders
• Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow preferred. 
• Familiarity with Kotlin/Scala.
• You keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down
• The desire for impact with a growth-minded and collaborative mindset

DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package for all regular employees that includes a 401(k) plan with an employer match, paid time off, paid parental leave, wellness benefits, and several paid holidays.

Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, disability and basic life insurance, family-forming assistance, a commuter benefit match, and a mental health program, among others.

Staff Machine Learning Engineer role at DoorDash USA, focusing on AI/ML solutions for merchant tax categorization.

Staff Machine Learning Engineer - Merchant Tax Categorization Service

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

DoorDash is seeking a passionate Staff Machine Learning Engineer to join their Personalization team. This role focuses on developing modern growth and personalization models for DoorDash's expanding retail and grocery business. The ideal candidate will have 8+ years of industry experience in developing and shipping ML solutions with business impact.

Key responsibilities include conceptualizing, designing, implementing, and validating algorithmic improvements for growth and personalization experiences. You'll work on making the consumer search experience more relevant and seamless across various retail categories using robust data and machine learning infrastructure.

The role requires expertise in applied ML for Causal Inference and Recommendation Systems, with both classical and deep learning approaches. Additional familiarity with explore/exploit/MAB algorithms and LLMs is a plus. Strong Python skills are essential, with experience in PyTorch or TensorFlow preferred.

As a Staff Engineer, you'll collaborate with engineering and product leaders to shape the product roadmap, mentor junior team members, and lead cross-functional teams. The position offers a competitive salary range of $171,600 - $252,400 USD, along with opportunities for equity grants and comprehensive benefits.

DoorDash values diversity and inclusion, encouraging applications from candidates of all backgrounds. The role is hybrid, combining in-office and remote work, based in either San Francisco or Sunnyvale, CA. Join DoorDash to help build the world's most reliable on-demand logistics engine for last-mile retail delivery!

DoorDash seeks Staff ML Engineer for Personalization team. 8+ years experience, expertise in Causal Inference and Recommendation Systems. Hybrid role in SF/Sunnyvale.

DoorDash is a technology and logistics company that started with door-to-door delivery and is expanding to become a company that people turn to for any and all goods.

DoorDash is looking for an experienced, entrepreneurial Android engineer to lead a confidential project. The Launchpad team has found strong momentum with a suite of emerging Android-powered hardware products. This hands-on technical role involves designing Android applications that must operate 24/7 regardless of network conditions, shipping new features at a breakneck pace, and collaborating cross-functionally across Product, Design, and Hardware teams.

You will report to the Head of Launchpad Engineering and be responsible for:
- Designing technical Android solutions for in-field hardware devices that must work 24/7
- Collaborating with Product Managers, Business leaders, and key stakeholders to determine the team's roadmap and vision, and manage execution
- Navigating ambiguity in a fast-changing business environment
- Encouraging innovation, teamwork, implementation of cutting-edge technologies, and outside-of-the-box thinking

The ideal candidate should have:
- BS, M.S., or PhD. in Computer Science or related field
- 10+ years of industry experience
- Experience leading technically complex embedded software projects and mentoring other engineers
- Interest in tuning hardware, firmware, and software performance
- Extensive experience as an engineer in a fast-paced, product-focused development environment
- Extensive experience designing and scaling Android applications for performance and reliability
- Experience shipping consumer electronics products

DoorDash offers a comprehensive benefits package including a 401(k) plan with employer match, paid time off, parental leave, wellness benefits, and several paid holidays. Full-time employees also receive medical, dental, and vision benefits, disability and basic life insurance, family-forming assistance, a commuter benefit match, and a mental health program.

At DoorDash, we're committed to growing and empowering a more inclusive community within our company, industry, and cities. We hire and cultivate diverse teams from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Senior Staff Software Engineer, Android role at DoorDash USA, leading confidential projects in Android-powered hardware products.

DoorDash USA Staff Software Engineer Software Engineering Jobs

Find DoorDash USA Staff Software Engineer software engineering jobs