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Rent The Runway // designer dresses & accessories rental
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Senior Machine Learning Engineer

About Rent the Runway 

Founded in 2009, Rent the Runway is disrupting the trillion-dollar fashion industry & changing the way women get dressed through the Closet in the Cloud, the worlds first & largest shared designer closet. RTRs 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 & 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 & accessories to ready-to-wear, workwear, denim, casual, maternity, outerwear, blouses, knitwear, loungewear, jewellery, handbags, activewear, ski wear, home goods & kidswear. RTR has built a two-sided discovery engine, which connects deeply engaged customers & differentiated brand partners on a powerful platform built around its brand, data, logistics & technology. Under CEO & Co-Founder Jennifer Hymans leadership, RTR has been named to CNBCs Disruptor 50 five times in ten years, & has been placed on Fast Companys Most Innovative Companies list four times, while Hyman herself has been named to the TIME 100: Most Influential People in the World" & as one of People Magazines 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 & influences the next generation of services critical to Rent The Runways success & continued growth. 

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

Our engineering team is smart, pragmatic, & entrepreneurial. We practice continuous integration & test-driven development, engage in constant peer code reviews & pair programming, & 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 & 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, & 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 & sales, forecasting demand & more. 

What Youll Do:

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

About You:

  • 5+ years work experience building data products, preferably with Python, & integrating them into internal & customer-facing applications in production environments. Bonus points if youve: built & maintained services using AWS, GCP; deployed & maintained production deep learning models using frameworks such as Tensorflow, PyTorch, Keras in a business environment.
  • Ability & desire to own your project through its entire lifecycle, from data exploration & analysis to modelling, experimentation, production implementation, monitoring, & communication with stakeholders. 
  • Proficiency in leveraging Google Cloud Platform's (or a similar cloud provider's) suite of machine learning services
  • Experience transforming vague problems into algorithmic solutions
  • Desire to drive serious business impact & a bias to action. You like to move fast, you follow through, & youre accountable to the results. 
  • Owners mindset. No job is too big or too small, & you always leave things better than you found them.
  • An innate curiosity & an open mind. 

Benefits:

At Rent the Runway, were committed to the happiness & wellbeing of our employees, & aim to create a workplace that fosters both personal & professional growth. Our inclusive benefits include, but are not limited to:

  • Generous Paid Time Off including annual leave, paid bereavement, & family sick leave - every employee needs time to take care of themselves & their family.
  • Universal Paid Parental Leave for both parents + flexible return to work program  - because we know your newest family member(s) deserve your undivided attention.
  • Paid Sabbatical after 5 years of continuous service - unplug, recharge, & have some fun.
  • Competitive Stakeholder Pension - taking care of your future. 
  • Comprehensive health, dental care & dependents care from day 1 of employment - Your health comes first & weve got you covered. 
  • Company wide events & outings - our team spirit is no joke - we know how to have fun!
  • Hybrid Work - This is a hybrid role based in our Galway, Ireland office. Employees have to option to work remotely 2-3 days per week.

Rent the Runway is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee on any legally-recognised basis, including, but not limited to: gender, marital status, family status, age disability, sexual orientation, race, religion, & membership of the Traveller community.

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