Senior ML Engineer, Nurture

About Carvana

At Carvana, we’re changing the way people buy and sell cars. With an ambitious vision and a fundamentally different approach designed to be fun, fast, and fair, Carvana became the fastest-growing automotive retailer in history. We expanded nationally, went public on the New York Stock Exchange, sold our 1 millionth car, and reached the Fortune 500, all in just eight years. 

Today, with 4 million retail customers and counting, Carvana is both the fastest-growing and the most profitable public automotive retailer, and we’re just getting started. We continue to raise the bar for our customers as we tackle the enormous opportunity still ahead in the largest consumer vertical.  

Working here means being part of a team that embraces change, celebrates creative problem solving, and always strives to be better. At Carvana, you’ll have the opportunity to take on meaningful challenges, learn quickly, and help shape the future of automotive retail. If you’re driven to grow and make an impact as part of a collaborative team, you’ll fit right in. Learn more about what it’s like to work here from the people that already do. 

This is a fully on-site position, Monday through Friday, at our corporate HQ in Tempe, Arizona. 

About the team and position

The Nurture team is a talented and humble group of people with backgrounds in Product, Design, Data Science and Engineering, that are focused on building out our core product: a communication platform that delivers the right message to the right person at the right time in the right channel. Our scope includes communications ranging from marketing to transactional messages, delivered through email, SMS, and push notifications. You will dive deep into machine learning and LLM tools as we build the next generation of AI powered communication products.

We’re looking for incredibly intelligent, entrepreneurial, hard-working go-getters who are excited about working in a product-driven technology company to help us drive the best customer experience. You’re likely a great fit if you have a strong background in software development, expertise in system design and architecture, and strong problem-solving skills. Ideally, you are fanatical about building robust, scalable solutions, optimizing performance, and seeing your technical architecture come to life. You love addressing high-level technical challenges quickly and autonomously while building deep relationships with product stakeholders.

What you’ll be doing

You will work closely with product and analytics teams to help build out scalable solutions that continue to drive our communications to customers. Additionally, you will help refine and solidify key infrastructure that drives our communication platform. 

You will be responsible for:

• Deployment and Integration: Full software development lifecycle from design and development to testing and operating/monitoring in production.
• Continuous Improvement and Innovation: Work with the Data Science team to build out services for training, monitoring and enhancing machine learning models’ accuracy.
• Improve Business Outcomes: Communicate effectively with engineers, product managers, data scientists, and data analysts to ensure correct and timely implementation of requests. 

What you should have

• 5+ years experience with Python
• 3+ years Spark or other big data processing (Hadoop, Flink) experience
• Strong foundation in algorithms and data structures and their real-world use cases
• Experience with CICD processes (GitHub, GitLab, dbx) 
• Expert knowledge of data integration concepts, business intelligence and data warehousing and implementing large systems
• Understand how to be efficient with resource usage (e.g., system hardware, data storage, query optimization, AWS infrastructure, etc.)
• Production quality coding standards and patterns

It would be great if you also had

• Experience building products that use LLMs/GenAI
• Experience with Claude, Copilot, Codex or other developer AI assistants
• Experience building products with machine learning components, e.g. ranking systems 
• Snowflake or BigQuery 

Don’t meet 100% of the qualifications?

At Carvana, we value diversity in backgrounds and experiences. We encourage you to apply even if your experience doesn't fit exactly. Give it a shot!

What we’ll offer in return

• Full-Time position with a competitive salary and Carvana stock compensation.
• Medical, Dental, and Vision benefits.
• 401K with company match.
• A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more.
• A great wellness program to keep you healthy and happy both physically and mentally.
• Access to opportunities to expand your skill set and share your knowledge with others across the organization.
• A company culture focused on high performance and bar-raising, with vast opportunity to learn and grow.

Other requirements

To be able to do your job at Carvana, there are some basic requirements we want to share with you.

• Must be able to read, write, speak and understand English.

Of course, we’ll make any reasonable accommodations for those with disabilities to perform the essential functions of their jobs. 

Legal stuff

Hiring is contingent on passing a complete background check.  This role is eligible for visa sponsorship.

Carvana is an equal employment opportunity employer.  All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law.  Carvana also prohibits harassment of applicants or employees based on any of these protected categories.

Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.