Lead Machine Learning Engineer

New York City

Applications have closed

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 seeking a highly skilled and experienced Lead Machine Learning Engineer to join our team and drive innovation through the development and implementation of machine learning models and systems. As a Lead Machine Learning Engineer, you will have the opportunity to lead a team of machine learning engineers and an exploratory data analyst, using your technical expertise in machine learning and deep learning, as well as your excellent leadership, communication, and team management skills, to guide and support your team as they work on a variety of projects and applications. In this role, you will have the chance to make a real impact on the success of Stylitics and shape the future of machine learning in the retail industry.

What You Will Do

  • Lead a team of machine learning engineers and an exploratory data analyst to develop and implement machine learning models and systems for a variety of projects and applications
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
  • Research and apply state-of-the-art techniques in machine learning and deep learning to improve model performance
  • Train and fine-tune machine learning models using a variety of data sources
  • Evaluate model performance and suggest improvements
  • Write clean, efficient, and well-documented code
  • Mentor and provide technical guidance to team members
  • Communicate effectively with team members, stakeholders, and other relevant parties
  • Plan and manage team resources, including project timelines and priorities

Must-Have Qualifications

  • 3+ years of experience working with ML in production environment, with great track record of deploying ML projects to production
  • Experience leading and managing a team of machine learning engineers and data analysts
  • Bachelor’s or Master’s degree in Computer Science or a related field
  • Strong background in applied statistics, applied mathematics, linear algebra, algorithmic design
  • Strong technical expertise in machine learning and deep learning, with experience in at least one deep learning framework such as TensorFlow or PyTorch
  • Excellent communication skills and the ability to clearly and effectively present technical concepts to both technical and non-technical audiences
  • Strong problem-solving skills and the ability to think creatively and strategically
  • Experience with data preprocessing and data visualization techniques
  • A passion for learning and staying up-to-date with the latest trends and techniques in machine learning and deep learning

Nice-to-Have Qualifications

  • Ph.D. or Master's Degree in Computer Science, Data Science, or Statistics
  • 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
  • For this role, 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.

Tags: Clojure Computer Science Data visualization Deep Learning E-commerce GPU Linear algebra Machine Learning Mathematics ML models PyTorch Research Statistics TensorFlow

Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Fitness / gym Health care Insurance Startup environment Team events

Region: North America
Country: United States
Job stats:  559  80  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.