Machine Learning Scientist - IC 2

Key Skills

Java Programming, Natural Language Processing (NLP), Python Programming, PyTorch, Scala Programming, SQL, TensorFlow, XGBoost

Job Description

At Overstock.com, we believe that everyone should -Be You!-. Overstock is a community that upholds a culture of understanding, acceptance, and respect. We believe a person’s individuality is at the core of diversity, and those traits, beliefs, and characteristics should be valued and embraced. Living by this ethos is essential to the success of our business. Our goal is to foster a more diverse environment where every employee visibly demonstrates inclusive behaviors and respect for individuals.

Machine learning is a key initiative for Overstock as we strive to help our customers find great deals on furniture, décor, and other items to make every home a dream home.

This position is eligible for remote work. Currently we can hire employees in the following states: California, Connecticut, Kansas, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Rhode Island, South Dakota, Texas, Utah, Washington, Wisconsin, Wyoming. This role will have occasional on site expectations.

The Machine Learning Scientist will develop algorithms that support our sponsored products system which allows sellers to bid auction-style for special site placements/rankings. In this role you will build CTR and CVR models for sponsored products, evolve our ranking models, and develop embeddings to support search and similar items carousels, while taking auction rules and bids into account. The goal is to serve the highest bidding, but also most relevant products while balancing Overstock's earnings, partner ROAS and customer experience.

Our Machine Learning scientists have the opportunity to build cutting-edge e-commerce technologies in all these areas and apply their ideas in different products across our platform. We are looking for individuals who are passionate about machine learning and have a track record as production quality engineers.

Job Responsibilities

• Design and implement core machine learning algorithms used by different product teams, included but not limited to:
• search ranking, recommender systems, natural language processing, computer vision, deep learning, fraud and abuse detection, advertising technologies, personalization and marketing,
• Design A/B tests across various products to validate the performance of machine learning models
• Implement machine learning models in production using various in house and on cloud technologies available to the machine learning team
• Report results of machine learning models in peer-reviewed papers and technical manuals.
• Follow legal policies as directed.

Job Requirements

• Minimum of two years of industry experience as a machine learning scientist or a data scientist
• Strong analytical and quantitative skills. You are familiar with techniques in machine learning, auctions and bidding systems, NLP, and/or related fields.
• Strong technical and programming skills.
• Excellent collaborator and communicator and are eager to learn and grow!
• Skills
• Experience with big data technologies such as Hadoop/Spark
• Commonly used ML modeling tools such as XGBoost, Tensorflow, PyTorch, etc
• Previous history of writing and reviewing technical papers
• Ability to come up with creative solutions and quickly prototype them
• Willingness to learn new tools and flexibility to adapt to different deployment pipelines
• Strong communication abilities and willingness to lead and inspire other engineers
• Competency in commonly used programming languages such as Python, Java, or Scala

Education

Master degree in in computer science, machine learning, data science, natural language processing, deep learning or a related field.

Who We Are:

We’re a passionate group of collaborative problem solvers and creative innovators, working on cutting-edge technology. From building award-winning retail applications (with amazing AR functionality) to creating leading blockchain and machine learning technologies, each of us embodies a unique value and contributes a diverse perspective to the team.

What We Offer:

• 401k (6% match)
• Flexible Schedules
• Onsite Health Clinic
• Tuition Reimbursement, Leadership Development Program, & Mentorship Program
• Onsite Fitness Center
• Overstock Women's Network (OWN)
• And More…