Machine Learning Engineer

Machine Learning Engineer

About Rent the Runway

Established in 2009, Rent the Runway is revolutionizing the trillion-dollar fashion industry and altering how women select clothes from the Closet in the Cloud, the globe’s premier and most expansive shared designer wardrobe. RTR’s mission has remained consistent since its conception: empowering women to feel their best every day. Through RTR, customers can subscribe, lease items a-la-carte and browse resale from hundreds of designer brands. The Closet in the Cloud provides a vast assortment of millions of products for every event, from evening wear and accessories to ready-to-wear, workwear, denim, casual, maternity, outerwear, blouses, knitwear, loungewear, jewelry, handbags, activewear, ski wear, home goods and kidswear. RTR has constructed a two-sided discovery engine which connects deeply engaged customers and distinctive brand partners on a robust platform built around its brand, data, logistics, and technology. Led by CEO and Co-Founder Jennifer Hyman, RTR has been recognized in CNBC’s “Disruptor 50” five times in ten years, and has been listed on Fast Company’s Most Innovative Companies list four times. Hyman herself has been acknowledged in 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. Located in the historic Claddagh area of the city, the growing team in Galway addresses core technology challenges and shapes the next generation of services crucial to Rent The Runway’s success and ongoing growth.

The Galway office marks Rent the Runway's initial international office outside the US and permits the company to significantly widen 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 various roles and career paths in Technology.

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

About the Role:

Machine Learning Engineers at Rent the Runway create data products that distinctly influence our customer experience and internal operations. You will oversee projects end-to-end, from identifying which problems to address through transforming information from our vast data ecosystem into actionable insights, to ultimately creating & integrating algorithms into our network of services in collaboration with our product & software engineering teams.

You will have the chance 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 providing the right information at the right time, optimally pricing clothing rentals and sales, forecasting demand and more.

What You’ll Do:

• Collaborate on a team of equals in a setting that will consistently challenge you and enable you to learn new things every day.
• Develop and launch efficient algorithms powering customer-facing applications that are at the heart of our business and success.
• Cooperate closely in an equal partnership with our business, product, and engineering teams.
• Have a significant influence both in what you work on and how the work is executed.

About You:

• 3+ years work experience developing 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 like Tensorflow, , Keras in a business environment.
• Capability and desire to manage your project throughout 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 meaningful business impact and a bias to action. You like to move quickly, you follow through, and you’re accountable for the results.
• Owner’s mindset. No task is too big or too small, and you always improve things than when you first found them.
• An innate curiosity and an open mind.

Benefits:

At Rent the Runway, we’re committed to the satisfaction and wellbeing of our employees, and aspire to create a workplace that nurtures both personal and professional growth. Our inclusive benefits comprise, but are not limited to:

• Generous Paid Time Off including annual leave, paid bereavement, and family sick leave - every employee requires time to take care of themselves and their family.
• Universal Paid Parental Leave for both parents + flexible return-to-work program - because we acknowledge your newest family member(s) need your undivided attention.
• Paid Sabbatical after 5 years of continuous service - unplug, recharge, and have some fun.
• Competitive Stakeholder Pension - preparing for your future.
• Comprehensive health, dental care, and dependents care from day 1 of employment - Your health is paramount and we’ve got you covered.
• Company-wide events and outings - our team spirit is serious - we understand how to have fun!
• Hybrid Work - This is a hybrid role based in our Galway, Ireland office. Employees have the option to work remotely 2-3 days per week.

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

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