Applied Machine Learning Engineer - Causal Inference Recommendation

About the Team

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 Door Dash expand Merchant selection and growing Merchants.

We’re looking for a passionate Applied Machine Learning expert to join our team. In this role, you will utilize our robust data and machine learning infrastructure to build recommendation system, and implementing new AI solutions to expand restaurants selection and drive their growth.

You’ll be conceptualizing, designing, and evaluating A/ML solution. You will be expected to demonstrate a strong command of production-level machine learning, a passion to collaborate with multi-disciplinary teams to set the strategy and execute to grow our business.

You’re excited about this opportunity because you will…

• Develop production machine learning solutions, which is a central intelligence to power multiple teams including Sales Operation, Product, and Marketing
• Partner with engineering and product leaders to help shape the product roadmap leveraging AI/ML.
• Own the modeling life cycle end-to-end including feature creation, model development and deployement, experimentation, monitoring and explainability, and model maintenance.
• Find new ways to use diverse data sources, and modeling techniques, such as NLP, ranking, personalization, image classification, and entity resolution to touch base with merchants at the right time and provide AI driven world class merchant experience.

You can find out more on our ML blog

• 3+ years of industry experience developing advanced 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. Additional familiarity with experimentation, computer vision, and LLMs!
• M.S., or PhD. in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields.
• Ability to communicate technical details to nontechnical stakeholders
• Strong machine learning background in Python; experience with Spark, PyTorch or Tensor Flow 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

At Door Dash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

Door Dash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're 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.

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people 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.

Statement of Non-Discrimination:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status or veteran status. Above and beyond discrimination and…