Senior Machine Learning Engineer I

Senior Machine Learning Engineer

About Rent the Runway 

Founded in 2009, Rent the Runway is disrupting the trillion-dollar fashion industry and changing the way women get dressed through the Closet in the Cloud, the world’s first and largest shared designer closet. RTR’s mission has remained the same since its founding: powering women to feel their best every day. Through RTR, customers can subscribe, rent items a-la-carte and shop resale from hundreds of designer brands. The Closet in the Cloud offers a wide assortment of millions of items for every occasion, from evening wear and accessories to ready-to-wear, workwear, denim, casual, maternity, outerwear, blouses, knitwear, loungewear, jewellery, handbags, activewear, ski wear, home goods and kidswear. RTR has built a two-sided discovery engine, which connects deeply engaged customers and differentiated brand partners on a powerful platform built around its brand, data, logistics and technology. Under CEO and Co-Founder Jennifer Hyman’s leadership, RTR has been named to CNBC’s “Disruptor 50” five times in ten years, and has been placed on Fast Company’s Most Innovative Companies list four times, while Hyman herself has been named to the “TIME 100: Most Influential People in the World" and as one of People Magazine’s “Women Changing the World.”

Galway Office 

Rent The Runway established its European Technology Hub in Galway in April 2019.  Based in the historic Claddagh area of the city, the growing team in Galway tackles core technology challenges and influences the next generation of services critical to Rent The Runway’s success and continued growth. 

The Galway office is Rent the Runway's first international office outside the US and enables the company to significantly expand its Software Engineering, Product Development, Machine Learning Engineering and Data Science footprint. Rent The Runway’s Galway-based employees have the opportunity to grow their careers across several roles and career paths in Technology.

Our engineering team is smart, pragmatic, and entrepreneurial. We practice continuous integration & test-driven development, engage in constant peer code reviews & pair programming, and work hard to give back to the software community through open-source contributions.

About the Role:

Machine Learning Engineers at Rent the Runway create data products that have tangible effects on our customer experience and internal operations. You will own projects end to end, from framing which problems to tackle through transforming information from our massive data ecosystem into actionable insights, and ultimately building & integrating algorithms into our network of services in collaboration with our product & software engineering teams.

You will have the opportunity to impact all parts of our business: determining what inventory assortment to buy, optimizing the lifespan of that inventory, establishing the right network of warehouses & transportation methods to best serve our customers, personalizing the user experience, optimizing user acquisition & retention, investigating how we can improve customer service by serving the right information at the right time, optimally pricing clothing rentals and sales, forecasting demand and more. 

 

What You’ll Do:

• Work on a team of peers in an environment that will keep you constantly challenged and learning new things every day. 
• Develop and deploy performant algorithms powering customer-facing applications that are core to our business and success.
• Collaborate closely in an equal partnership with our business, product and engineering teams.
• Have a significant voice both in what you work on and how the work is carried out.

About You:

• 5+ years work experience building data products, preferably with Python, and integrating them into internal and customer-facing applications in production environments. Bonus points if you’ve: built & maintained services using AWS, GCP; deployed & maintained production deep learning models using frameworks such as Tensorflow, PyTorch, Keras in a business environment.
• Ability and desire to own your project through its entire lifecycle, from data exploration and analysis to modelling, experimentation, production implementation, monitoring, and communication with stakeholders. 
• Experience transforming vague problems into algorithmic solutions
• Desire to drive serious business impact and a bias to action. You like to move fast, you follow through, and you’re accountable to the results. 
• Owner’s mindset. No job is too big or too small, and you always leave things better than you found them.