Job description

Who We Are

Stylitics is the leading visual outfitting and styling solution for the world’s top retailers and brands. Our clients include Nike, Macy’s, Kohl’s, Revolve, Puma, Crate & Barrel, Bloomingdale’s, and dozens of others. Founded in 2011, Stylitics uses a powerful combination of algorithms, trend data, and stylist expertise to deliver millions of on-brand outfit recommendations daily across multiple channels such as e-commerce, email, advertising, stores, and social media. About 100 million shoppers use Stylitics content and technology on retail sites each month to find inspiration, discover new products and brands, and gain confidence in how to style their purchases.

About the Role

We are looking for a talented and driven Machine Learning Engineer that can work with our Software Engineers to bring our styling engine algorithms to the next level!

What You Will Do

  • Design and implement scalable machine learning and deep learning algorithms
  • Participate in the development and evaluation of algorithms for optimization of business and system performance metrics
  • Perform analyses to determine/demonstrate potential impact of machine learning efforts
  • Deliver accurate and performant models for product attribution and product bundling
  • Track down and help to address data quality and algorithm effectiveness gaps
  • Document hypotheses and results in a clear and concise manner
  • Help improve our image processing (image segmentation, feature extraction, etc.) algorithms
  • Share technical knowledge with other engineers and with internal and client data teams
  • Create and enhance data validation and standardization systems and practices
  • Collaborate with the rest of software engineering team to improve the overall quality of our software

Must-Have Qualifications

  • 3+ years of experience working with ML in production environment, with great track record of deploying ML projects to production
  • Strong background in applied statistics, applied mathematics, linear algebra, algorithmic design
  • Deep Learning Expertise with clear understanding of concepts like CNN, RNN/LSTMs
  • Proficient in Python and SQL, and with ML / Deep Learning toolkits
  • Great communicator
  • Ability to work in cross-functional teams with a strong sense of self-direction

Nice-to-Have Qualifications

  • Ph.D. or Masters in Computer Science, Data Science, Statistics
  • Hands-on experience in computer vision, image processing, and/or NLP
  • Good understanding of low-level CPU and GPU performance
  • Pytorch Experience
  • Clojure experience (or willingness to learn!)

Our Benefits & Perks

  • Vision and dental insurance options that are fully covered by us
  • Medical plan coverage, with options that start at no cost to you
  • Competitive salary along with career planning for the future
  • Stock options in a company that is growing rapidly and successfully
  • Commuter benefits program
  • Company matched 401k plan to help plan for your future
  • Generous paid time off policies
  • Work events - both virtual and in person
  • Access to Gympass - a company paid benefit giving you access to numerous physical and mental well being needs
  • Working with fun, hardworking, nice people who are committed to making a difference

Our Values

Our values reflect what is important to us at Stylitics and serve as the foundation in which we do business. Each core value is best illustrated by actions and attitudes that each Stylitics team member practices. They define what working at Stylitics means and what our teams embody through their time here.

  • We care deeply about delivering high quality work
  • We work to be the best partners possible
  • We get things done
  • We believe the right team matters most
  • We think like customers and act like owners
  • We relish being pioneers

Join Us

We strive to create a place where all feel safe, empowered, engaged, championed, and inspired. Equal Employment Opportunity has been and will continue to be, a fundamental principle at Stylitics where employment is based upon personal capabilities and qualifications without discrimination because of race, religion, color, gender, national origin, age, citizenship, ancestry, marital status, sexual orientation, gender identity and expression, pregnancy and related medical conditions, veteran status, genetic information, disability or any other reason prohibited by federal, state or local law. This applies to all policies and employment practices relating to recruitment and hiring, compensation, benefits, termination and all other terms and conditions of employment.

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