About Haldi

Haldi is an early stage beauty-tech company building personalized, digital experiences for the evolving consumer. Founded by two former Googlers, Haldi is reimagining the way the consumers will discover and shop for skincare.

This Role

The current e-commerce experience is outdated. Millions of products thrown at users, personalization which still looks like "people who like this also like this", and thousands of irrelevant reviews.

While Machine Learning is playing an integral role in solving this problem the limitations of ML techniques in solving Discovery and Recommendation problems is often due to a lack of quality data. But Haldi takes a unique approach of having a human Skin Coach team work side by side with our algorithms. This unique tech + human approach means that we can parse through deeply nuanced data and get detailed feedback on recommendations  to deliver a “true-personalization” experience at scale.

The Opportunity

You will be part of our Engineering & Data Science team and be responsible for tackling the highest impact business problems using Recommendation Systems, Deep Learning, and Natural Language Processing. You’ll:

• Own projects from ideation to production instead of making incremental changes to legacy systems.
• Work closely with the founders and engineers to shape the product roadmap, and determine how we can best use machine learning to achieve our mission.
• Design machine learning solutions to solve Haldi’s unique recommendation and discovery challenges and build experiences to delight users.
• Build new ML and algorithmic capabilities from the ground up alongside a team of skin coaches who will test, validate & provide feedback on recommendations
• Establish ML workflow, making key decisions on what ML platforms and frameworks to use and why.
• Apply feature-engineering to first party and observational data to extract user preferences from data feedback
• Build cutting edge NLP models to extract insights from massive amounts of customer feedback
• Participate in the full software development cycle from design, development, QA, deployment, experimentation and analysis.

Our Ideal Candidate Will Have

• 5+ years experience in recommendation systems, and ML.
• Production machine learning experience. You are proficient in writing production quality code to serve ML models in Python.
• Product focused mindset. You have the mindset to use data science to solve real business problems. You are as excited about solving problems at the human level as you are at the technology level.