Find DoorDash Staff Software Engineer software engineering jobs

Technology company building the next generation of local delivery, operating a full stack delivery service by partnering with merchants.

DoorDash is seeking a Staff iOS Engineer for their Storefront team, focusing on building digital ordering solutions that help businesses establish and grow their online presence. The role involves working on DoorDash's white-label mobile apps that empower merchants to compete in the digital era. The position offers a competitive salary range of $119K - $252K and requires 6+ years of experience.

The ideal candidate will be an expert in Swift and iOS SDK, with strong knowledge of systems and object-oriented programming. They'll work on building features used by millions of users, improving code architecture, and solving complex data synchronization challenges. The role requires a computer science degree or equivalent and experience with mobile app development.

DoorDash offers a comprehensive benefits package including medical, dental, and vision insurance, 401(k) with employer match, equity grants, paid parental leave, and mental health support. The company, founded in 2013 and now public, has grown to over 8,600 employees and is backed by top-tier investors like Sequoia Capital and Andreesen Horowitz.

The position is hybrid, requiring some in-office presence in either San Francisco or Seattle. As part of the Storefront team, you'll be crucial in developing solutions that directly impact local entrepreneurs and millions of users. DoorDash emphasizes diversity and inclusion, welcoming candidates from all backgrounds and providing equal opportunities for growth and success.

Staff iOS Engineer position at DoorDash focusing on Storefront platform development and merchant solutions.

Staff iOS Engineer, Storefront

Technology and logistics company that started with door-to-door delivery, expanding to become a platform for any and all goods delivery.

DoorDash is seeking an experienced Engineering Manager to lead their Social team in transforming the DoorDash app from a transactional platform to an inspirational and engaging discovery destination. This role combines full-stack engineering leadership with product vision, requiring the ability to manage across Backend, Android, iOS, and Web platforms.

The position offers an opportunity to shape the future of how users discover and interact with local businesses through DoorDash. You'll be responsible for leading a team that spans both client applications and backend development, working closely with machine learning and platform teams to create innovative solutions.

As an Engineering Manager, you'll be instrumental in developing and executing the technical roadmap while maintaining high engineering standards. The role requires a unique blend of technical expertise, leadership skills, and product sense, making it ideal for someone who thrives in a fast-paced, growth-oriented environment.

DoorDash offers a competitive compensation package including a base salary range of $193,800 - $285,000, equity grants, and comprehensive benefits. The company's culture emphasizes leadership at all levels, continuous learning, and making impactful decisions. This is an excellent opportunity for someone who wants to grow rapidly while leading technical innovations that directly impact millions of users, merchants, and delivery partners.

The ideal candidate will bring 7+ years of industry experience, including at least 2 years of management experience, and a strong educational background in Computer Science. You'll be joining a company committed to diversity, inclusion, and empowering local economies through technology.

Lead DoorDash's Social team as Engineering Manager, transforming the app experience while managing full-stack development across multiple platforms.

Engineering Manager - Social Team

Technology and logistics company focused on last-mile retail delivery, starting with door-to-door delivery.

DoorDash is seeking a Staff Machine Learning Engineer to join their Personalization team, focusing on building the world's most reliable on-demand logistics engine for last-mile retail delivery. This role combines technical expertise with leadership, requiring 8+ years of experience in developing and deploying ML models. The position involves working on growth and personalization models for DoorDash's expanding retail and grocery business.

The ideal candidate will be responsible for developing sophisticated machine learning solutions that enhance the consumer search experience across grocery, convenience, and various retail categories. They will work with robust data and ML infrastructure to implement solutions that make the shopping experience more relevant and seamless. The role requires expertise in Causal Inference and Recommendation Systems, with additional value placed on knowledge of explore/exploit/MAB algorithms and LLMs.

This hybrid position offers competitive compensation, including a base salary range of $203,500 - $299,300 USD, plus equity opportunities. DoorDash provides comprehensive benefits including medical, dental, vision coverage, 401(k) with employer match, paid parental leave, and wellness benefits. The company strongly values diversity and inclusion, maintaining a commitment to creating an inclusive environment for all team members.

The role presents an exciting opportunity to impact DoorDash's growing retail presence through machine learning innovations, working with cross-functional teams, and mentoring junior members. The successful candidate will help shape the product roadmap while maintaining a focus on delivering business impact through practical ML solutions.

Staff Machine Learning Engineer position at DoorDash focusing on developing personalization and growth models for retail delivery services.

Staff Machine Learning Engineer

A technology and logistics company that started with door-to-door delivery, empowering local economies through delivery services.

DoorDash's Data Platform team is seeking a Senior Staff Engineer to lead their data infrastructure initiatives. This role sits at the intersection of data engineering and platform development, focusing on building scalable solutions for data ingestion, computation, storage, and analytics. The position offers an opportunity to shape the technical direction of a rapidly growing organization while working with cutting-edge data technologies.

The ideal candidate will drive the technical roadmap for data infrastructure, mentor senior engineers, and make strategic decisions that impact the entire organization. You'll be responsible for building data products that serve engineers, data scientists, and analysts across DoorDash, while ensuring systems are scalable, reliable, and efficient.

Key focus areas include data ingestion (batch and real-time), data compute & transformation, data storage (warehouse, data lake, OLAP), querying infrastructure, data compliance, quality, and governance. You'll also work on Machine Learning Infrastructure, Experimentation Platform, and Knowledge Graphs.

This is an exceptional opportunity for a technical leader who excels at both strategic thinking and hands-on engineering. You'll report to the Senior Director of Engineering, Data Platform, and have the chance to influence the direction of data infrastructure at one of the fastest-growing technology companies.

The role offers competitive compensation ($231,200 - $340,000), comprehensive benefits, and the opportunity to work with a diverse, inclusive team that's reshaping local commerce. If you're passionate about solving complex data challenges at scale and want to make a significant impact, this role at DoorDash could be your next career move.

Senior Staff Engineer position at DoorDash leading data infrastructure initiatives, focusing on scalable solutions for data ingestion, computation, storage, and analytics.

Senior Staff Engineer, Data Platform

Technology company building the next generation of local delivery, connecting customers with local and national businesses across US and Canada.

DoorDash is seeking an Engineering Manager for their Core Platform team to help build the world's most reliable on-demand logistics engine for delivery. The Core Platform team owns critical platform services used across engineering.

As an Engineering Manager, you'll lead high-impact technical initiatives that shape platform evolution, inspire teams with technical vision, and maintain a positive work culture. You'll be responsible for recruiting and retaining talented engineers while keeping the team connected to engineering needs.

The role offers significant technical challenges and the opportunity to impact DoorDash's engineering culture. You'll work on building and maintaining 24x7, no-downtime, global infrastructure systems powering DoorDash's three-sided marketplace of consumers, merchants, and dashers.

DoorDash, founded in 2013, operates in over 4,000 cities across the US and Canada. The company provides on-demand delivery, data-driven insights, and improved store efficiency for merchants. They're backed by top investors including Sequoia Capital, Khosla Ventures, and Andreesen Horowitz.

The company culture emphasizes leadership at all levels, continuous learning, and customer obsession. They offer comprehensive health benefits and competitive compensation. DoorDash is committed to diversity and inclusion, building teams from various backgrounds and perspectives.

This role requires 5+ years of engineering management experience, strong systems knowledge, and experience defining core platform team scope in fast-growing companies. The ideal candidate combines technical expertise with product mindset and excellent communication skills.

Engineering Manager position leading DoorDash's Core Platform team, building critical infrastructure and platform services for the delivery marketplace.

Engineering Manager, Core Platform

A technology and logistics company that started with door-to-door delivery, empowering local economies through food and goods delivery services.

DoorDash is seeking a Senior Engineering Manager to lead their Consumer Machine Learning team, a pivotal role at the intersection of technology and customer experience. This position offers an exciting opportunity to shape the future of personalized commerce through machine learning.

The role involves leading a team responsible for crucial ML products including homepage recommendations, search relevance, and intelligent notifications. You'll be at the forefront of implementing cutting-edge technologies, including LLMs and Deep Learning techniques like GNN, MTL, and Transformers, to enhance DoorDash's ML infrastructure.

As a leader, you'll be responsible for growing and mentoring a team of exceptional ML engineers and managers, while working closely with cross-functional partners to define and execute consumer product, business, and technology strategies. The position requires a blend of technical expertise in machine learning and strong leadership capabilities.

DoorDash offers a comprehensive benefits package including competitive base salary, equity grants, and extensive health benefits. The company's commitment to diversity and inclusion creates an environment where innovation thrives. They're rapidly expanding beyond food delivery to become the go-to platform for all goods delivery, offering tremendous growth opportunities.

The ideal candidate will bring 10+ years of industry experience, including 5+ years of leadership experience, along with a strong foundation in machine learning. You'll have the chance to make a significant impact on how millions of customers interact with DoorDash's platform while building and scaling a world-class engineering team.

This role is perfect for someone who is passionate about applying ML to solve real-world problems, enjoys mentoring and growing teams, and wants to be part of a company that's transforming local economies through technology.

Lead DoorDash's Consumer Machine Learning team, building personalized experiences through ML products and solutions.

Senior Engineering Manager, Consumer Machine Learning

A technology and logistics company that started with door-to-door delivery, expanding into delivery of any and all goods.

DoorDash's Experimentation Platform team is at the forefront of data-driven decision making, developing an industry-leading platform for experiments and causal analysis. The team builds tools that enable thousands of experiments monthly, democratizing experimentation across the organization. As a Staff ML Engineer, you'll work with a diverse team of backend, web, statistical, and data infrastructure engineers to advance the platform's capabilities. The role combines deep technical expertise in ML, statistics, and distributed systems with practical business impact. You'll build sophisticated experimentation algorithms, implement cutting-edge ML solutions, and help shape how DoorDash makes data-driven decisions. The position offers competitive compensation ($196,100-$288,400), comprehensive benefits, and the opportunity to work on challenging problems in a rapidly growing technology company. The team has published several technical articles showcasing their innovative work in experimentation and causal inference, making it an excellent opportunity for those interested in pushing the boundaries of ML and experimentation at scale.

Staff ML Engineer role at DoorDash building advanced experimentation platforms using ML, statistics, and causal inference.

Staff Machine Learning Engineer - Experimentation Platform

DoorDash is seeking a Senior Staff Engineer to join their Data Platform team, a crucial component of their data-driven organization. This role sits at the intersection of infrastructure and innovation, focusing on building and maintaining the company's analytical data stack. The position reports to the Senior Director of Engineering, Data Platform, and plays a pivotal role in shaping the technical future of the organization.

The Data Platform team manages essential infrastructure components including data ingestion (both batch and real-time), data computation and transformation, various storage solutions (warehouse, data lake, OLAP), querying infrastructure, and data compliance, quality, and governance. The team also oversees Machine Learning Infrastructure, Experimentation Platform, Knowledge Graphs, and various Data Science and Analytics tooling.

As a Senior Staff Engineer, you'll be entrusted with developing the organization's critical long-term technical roadmap. Your responsibilities will span from architectural decision-making to mentoring senior engineers, all while maintaining high technical standards. The role requires a unique blend of technical expertise and leadership skills, as you'll be building data-intensive solutions used across the company while thinking strategically about product vision and engineering excellence.

The ideal candidate brings extensive experience in building and operating scalable, fault-tolerant distributed systems, particularly in data-intensive applications. You should be comfortable working with various data technologies, including but not limited to AWS, Kubernetes, Apache Kafka, Snowflake, and modern programming languages like Golang, Kotlin, and Python.

DoorDash offers a comprehensive benefits package including competitive base salary ($196,100 - $288,400), equity grants, 401(k) with employer match, comprehensive healthcare, paid parental leave, and wellness benefits. The company strongly values diversity and inclusion, actively seeking candidates from all backgrounds and experiences to build a more inclusive and innovative organization.

Senior Staff Engineer position at DoorDash leading the Data Platform team, focusing on building scalable data infrastructure and products while driving technical strategy and mentoring engineers.

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.

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