Senior Machine Learning Engineer - Recommendation Systems



Software Engineering
North America · Utah, USA
Posted on Tuesday, June 18, 2024

Title: Senior Machine Learning Engineer - Recommendation Systems


Rebuy is a SaaS application that is redefining data-powered shopping experiences with a new breed of personalization and merchandising solutions, which turn intelligence into revenue-generating actions.

We offer onsite solutions, marketing tools and automation, RESTful API, JavaScript Library, and more to help supercharge high-growth brands.

Rebuy is a fully remote company and trusted by some of the fastest-growing brands in DTC such as Magic Spoon, Olipop, Liquid Death, Blendjet and many more.

We value empathy, hard work and respect. Each team member plays a significant role in the company, and is helping to shape the future of intelligent commerce. We build strong and lasting partnerships with all of our merchants and partners, provide a safe and fun work environment, and truly love what we do.

About the role:

We are seeking a Senior Machine Learning Engineer with a passion for recommendation systems to join our team. As a member of the ML/AI team, you will be instrumental in developing and enhancing our personalized recommendation capabilities using cutting-edge machine and deep learning techniques. You'll play a key role in shaping the technical direction of our recommendation systems, driving innovation and improving user experiences.

The ideal candidate will have a deep understanding of recommendation system algorithms, experience building and scaling machine learning models, and a collaborative spirit. If you're excited about the potential of AI to deliver personalized recommendations and want to make a significant impact on our users, we encourage you to apply.

What you’ll do:

  • Design and Implement: Develop state-of-the-art recommendation algorithms and models, including collaborative filtering, content-based filtering, and hybrid approaches.
  • Optimize and Scale: Continuously improve recommendation performance through experimentation, feature engineering, and model tuning. Scale models to handle large datasets and real-time recommendations.
  • Personalize: Build personalized user profiles and tailor recommendations based on individual preferences, behaviors, and context.
  • Evaluate and Measure: Establish metrics to assess the effectiveness of recommendations and drive data-driven improvements.
  • Collaborate: Work closely with cross-functional teams, including product managers, data engineers, and backend engineers, to integrate and deploy recommendation systems.


  • Recommendation Expertise: Strong experience with recommendation system algorithms, architectures, and evaluation metrics.
  • Machine Learning Mastery: Proficiency in Python, PyTorch, and other relevant ML frameworks. Experience training and deploying machine learning models at scale.
  • Data Skills: Ability to work with large datasets, perform feature engineering, and build data pipelines.
  • Collaborative: Excellent communication and collaboration skills to work effectively with a multidisciplinary team.

The ideal candidate:

  • Recommendation Enthusiast: Keeps up-to-date with the latest research and trends in recommendation systems.
  • Problem Solver: Proactively identifies and addresses challenges in recommendation model performance.
  • Passionate: Enthusiastic about leveraging AI to create personalized user experiences.
  • M.Sc. Degree or equivalent work experience.
  • 5+ years of experience in building and deploying production-level machine learning systems, with a focus on recommendation systems.

Nice to have:

  • Experience with:
    • Large language models (LLMs) for recommendation tasks.
    • Reinforcement learning for optimizing recommendation policies.
    • Graph-based recommendation algorithms.
  • Familiarity with:
    • Natural language processing (NLP) techniques for analyzing user feedback and preferences.
    • A/B testing frameworks for evaluating recommendation algorithms.


Rebuy is a fully remote company and we provide our employees with everything they need to succeed both professionally and personally.

  • Work from anywhere (with a strong internet connection)
  • 100% free health, dental, and vision insurance for you and your family
  • Flexible vacation, paid holidays, parental leave, and sick leave policies
  • 401(k) retirement plan
  • Company contributes 3% of your salary as a 401(k) bonus (no vesting)
  • Amazing team of highly talented and driven people, redefining intelligent commerce