Senior Machine Learning Engineer - Recommendation Systems
Rebuy
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See open jobs at Rebuy.See open jobs similar to "Senior Machine Learning Engineer - Recommendation Systems" M13.Title: Senior Machine Learning Engineer - Recommendation Systems
Company:
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.
Requirements:
- 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.
Benefits
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
This job is no longer accepting applications
See open jobs at Rebuy.See open jobs similar to "Senior Machine Learning Engineer - Recommendation Systems" M13.