Lead Machine Learning Engineer at Stylitics

Stylitics logo
Stylitics

Lead Machine Learning Engineer

us flag
United States

Hybrid

Full Time

#Technology

#Machine Learning

#Retail

#Deep Learning

#TensorFlow

#PyTorch

#Data

#Data Visualization

#Design

#Statistics

#Mathematics

#Leadership

Stylitics is looking for a Lead Machine Learning Engineer

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Stylitics is the premier visual styling and outfitting platform for the world’s most iconic brands, including Nike, Macy’s, and Crate & Barrel. Since 2011, we have combined advanced algorithms with expert styling to deliver millions of personalized outfit recommendations every day. With over 100 million shoppers engaging with our technology monthly, we are shaping the future of retail inspiration. We are looking for a visionary leader to help us push the boundaries of what is possible in machine learning.

Role at a glance

We are searching for a Lead Machine Learning Engineer to join our team on a full-time basis. This is a senior-level position that requires a strong background in production-grade ML systems. You will have the flexibility to work in a hybrid environment within the United States, collaborating with a talented group of engineers and analysts to drive our technical roadmap forward.

Your impact

  • Lead and mentor a dedicated team of machine learning engineers and data analysts to build and deploy high-impact models.
  • Collaborate with cross-functional partners to translate complex business needs into scalable, technical machine learning solutions.
  • Research and implement state-of-the-art deep learning techniques to continuously improve the performance and accuracy of our recommendation systems.

What you'll need

  • At least 3 years of hands-on experience successfully deploying machine learning projects into production environments.
  • Proven experience in a leadership or management role, guiding technical teams and managing project priorities.
  • A solid foundation in applied mathematics, statistics, and algorithmic design.
  • Deep technical expertise in machine learning and deep learning, specifically using frameworks like TensorFlow or PyTorch.
  • A Bachelor’s or Master’s degree in Computer Science or a related quantitative field.
  • Excellent communication skills with the ability to explain complex technical concepts to diverse audiences.
  • Proficiency in data preprocessing and visualization techniques.

Perks and compensation

  • Medical, dental, and vision insurance coverage, with options available at no cost to you.
  • Equity through stock options in our rapidly growing company.
  • A 401k plan with company matching.
  • Generous paid time off policies.
  • Commuter benefits program to support your travel.
  • Opportunities to work with a collaborative, driven team that values innovation and high-quality results.
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