Machine Learning Engineer at Dia&Co
🇺🇸 United States › New York › New York Or Los Angeles (Posted Jun 5 2018)
About the company
Dia&Co is the leading personalized styling service for women who wear sizes 14+. Our business meets a profound need, and we are on a mission to democratize fashion — not only by providing easy access to quality clothing, but also by building an inclusive community of women who use fashion to celebrate their bodies. We’re expanding our talented team and are looking for passionate, smart and multi-talented go-getters to join us.
- Remote work possible
What We’re Looking For
You are a machine learning engineer who is interested in predictive analytics, recommendation systems, and/or operations research looking to make a big impact on a small team. You will be responsible for creating predictive models for inventory buying, building out a set of recommendation and clustering algorithms for personalized clothing boxes, and helping analyze our data to determine the effectiveness of our business operations.
Our product team is small, smart, and fast. We value and support: design perfectionism, off-the-charts ambition, independent thinking, design-engineering collaboration, mobile-first thinking, true agility, user testing, analytics-driven UX design, constant iteration, and building a beloved consumer brand.
strive daily to transform the fashion industry, from working with existing top brands to creating our own private label collections from the ground up
are a Sequoia Capital-backed, growth-stage startup co-founded by two women
have styled countless amazing women across the country in the past three years—they are at the core of everything that we do
foster a culture of autonomy and accountability—your contributions make a big difference
have an office that is buzzing with excitement—we are genuinely happy to be at work each day
celebrate each other’s individuality and unique skill sets
create good karma by aiming to surprise and delight at every touchpoint
Benefits & Perks
competitive salaries, flexible vacation policy and top quality medical, dental, and vision plans
a leadership team that embraces technology, creativity, and initiative
great snacks, Bagel Wednesdays, office happy hours and a fun office environment!
located in Hudson Square (the heart of Tribeca, SoHo and West Village) or in LA (Culver City WeWork)
Skills & requirements
have a Ph.D. in a relevant field or relevant work experience in statistics, recommendation systems, personalization, and data modeling
dives deep into problems to truly understand them before approaching a solution
are self-driven and able to operate with little supervision
can write code for data analysis and producing results (e.g. Python, R, Matlab, SQL)
can work with other engineers to help them implement your algorithms and solutions
can translate and present technical results into actionable information for executives and a non-technical audience
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