Senior Machine Learning Engineer

Senior Machine Learning Engineer

About Rent the Runway 

Established in 2009, Rent the Runway is disrupting the trillion-dollar fashion industry and reinventing the way women dress via the Closet in the Cloud, the world's first and largest shared designer closet. RTR's mission has remained constant since its inception: empowering women to feel their best every day. Through RTR, customers can subscribe, rent a-la-carte items and shop resale from hundreds of designer brands. The Closet in the Cloud offers a diverse assortment of millions of items for every occasion, ranging 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 developed a two-sided discovery engine, which connects deeply engaged customers and unique brand partners on a robust platform driven by its brand, data, logistics, and technology. Led by CEO and Co-Founder Jennifer Hyman, RTR has regularly featured in CNBC's "Disruptor 50", appearing five times in ten years, and has been ranked on Fast Company's Most Innovative Companies list four times. Hyman herself has featured in the "TIME 100: Most Influential People in the World" and is one of People Magazine's “Women Changing the World".

Galway Office 

Rent The Runway launched its European Technology Hub in Galway in April 2019.  Situated in the historic Claddagh area of the city, the expanding team in Galway addresses core technology challenges and influences the next generation of Rent The Runway's services that are essential to its continued success and growth. This is Rent the Runway's first international office outside the US and enables the company to substantially expand its Software Engineering, Product Development, Machine Learning Engineering and Data Science operations. Rent The Runway's Galway-based employees have the opportunity to advance their careers across various roles and career paths in Technology. Our engineering team is intelligent, pragmatic, and entrepreneurial. We practice continuous integration & test-driven development, regularly engage in peer code reviews & pair programming, and strive to contribute to the software community through open-source activities.

About the Role:

Machine Learning Engineers at Rent the Runway develop data products that notably impact our customer experience and internal operations. You will single-handedly manage projects from start to finish, starting from discerning which problems to address, utilizing information from our extensive data ecosystem for insightful conclusions, ultimately building & integrating algorithms into our network of services in collaboration with our product & software engineering teams. You will have the opportunity to influence all aspects of our business: from deciding what inventory assortment to purchase, optimizing the lifespan of that inventory, setting up an optimal network of warehouses & transportation channels to best serve our customers, personalizing the user experience, improving user acquisition & retention, researching ways to enhance customer service by providing correct information at the right time, to optimally pricing clothing rentals and sales and forecasting demand. 

What You’ll Do:

• Work in a team of equals in an environment that will constantly challenge you and foster continuous learning.
• Create and implement robust algorithms that power critical customer-facing applications, crucial to our business and success.
• Collaborate closely in a balanced partnership with our business, product, and engineering teams.
• Significantly contribute to what you work on and how the work is performed.

About You:

• Over 5 years of experience building data products, preferably with Python, and incorporating them into internal and customer-facing applications in production environments. Bonus points if you have: built & managed services using AWS, GCP; deployed & maintained productive deep learning models using frameworks such as Tensorflow, , Keras in a business environment.
• Willingness and ability to oversee your project from start to finish, including data exploration and analysis, modelling, experimentation, production implementation, monitoring, and communication with stakeholders. 
• Experience in transforming unclear problems into algorithmic solutions.
• A desire to drive substantial business impact and a bias towards action. You prefer to move quickly, you're reliable, and you take accountability for the results. 
• An owner's mindset. You find no job too large or too small and always aim to improve from where you started.
• An inherent curiosity and an open mind. 

Benefits:

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

• Generous Paid Time Off including annual leave, paid bereavement, and family sick leave - every employee deserves time to take care of themselves and their family.
• Comprehensive Paid Parental Leave for both parents + a flexible return to work scheme - because we know your newest family member(s) deserve your undivided attention.
• Paid Sabbatical after 5 years of continuous service - unplug, recharge, and have some fun!
• Competitive Stakeholder Pension - providing for your future. 
• Comprehensive health, dental and dependents care from day 1 of employment - Your health is a priority, so we've got you covered. 
• Company-wide events and 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 the 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 based on any legally-recognized basis, including, but not limited to, gender, marital status, family status, age, disability, sexual orientation, race, religion, or membership in the Traveller community.

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