Recommender System Expert

Welcome to Byborg! As a leader in IT and streaming solutions, we deliver high-quality services for premium online experiences.

Headquartered in Luxembourg and operating globally, our company is proud of its diversity, with over 40 different nationalities working side by side. Since its launch, our flagship product has led the market, continually pushing the boundaries of digital innovation and today our platforms serve millions of users daily.

Working with a wide range of cutting-edge technologies and constantly pushing the envelope in AI experimentation, we ensure robust and reliable performance through our powerful network of data centers. Furthermore, our advanced design and testing methods, including Behavior-Driven Development, set us apart.

We are proud of our dynamic portfolio, featuring over 16 leading and fast-growing brands. These include our streaming platforms (LiveJasmin.com, Cherry.TV, IsLive.com, Oranum.com), our marketing and advertising services (AdSupply, AWEmpire, TwinRed), and our entertainment and lifestyle brands (LoyalFans.com, The Million Roses, Kinkly.com).

Are you looking for new challenges in an international, collaborative environment? The Byborg squad is seeking passionate individuals ready to make an impact. Join us in our inclusive workplace where you will be appreciated, and you can grow and achieve your potential. Help us shape the future!

Job Description

We're looking for a Recommendation System Expert (Senior ML Engineer – Personalization & Recommender Systems) to join our core ML team and help shape the future of personalized content discovery. You will lead the design, deployment, and optimization of real-time recommender systems used by millions of users across our video streaming and tube platform. Your impact will be seen directly in engagement, retention, and revenue metrics.

What You'll Do

• Lead the design and productionization of recommender system models (collaborative, content-based, hybrid, session-based).
• Translate high-level business objectives into machine learning solutions that drive impact.
• Prototype, experiment with, and deploy algorithms using state-of-the-art tools and frame works.
• Take ownership of end-to-end model lifecycles — from feature engineering to deployment and performance monitoring.
• Continuously evaluate and tune models using online (A/B testing, bandits) and offline metrics.
• Work closely with product managers, backend engineers, and data scientists to improve personalization strategies.
• Scale model serving and experimentation infrastructure using modern MLOps practices.
• Mentor junior engineers and contribute to a strong ML culture in the team.
• Stay current with the latest research and help incorporate relevant innovations into production.

Qualifications

• 5+ years of hands-on experience in machine learning with a strong focus on recommendation systems, personalization, or ranking.
• MSc or PhD in Computer Science, Machine Learning, Applied Math, or related field.
• Proven experience in building and deploying large-scale recommender systems in production environments.
• Deep knowledge of:Top-N recommendation, collaborative filtering (MF, kNN, SVD), content-based filtering
• Hybrid and session-based recommender systems
• Evaluation metrics (e.g. Recall@K, MAP, NDCG), AB testing design and interpretation
• Experience with deep learning-based recommender architectures:Two-Tower, YouTube DNN, DLRM, DCN-v2, DeepFM, EASE/SANSA
• Familiarity with baseline algorithms (SR, AR, IKNN, MF)Comfortable working with experimentation infrastructure (AB tests, canary deployments, MABs)
• Solid understanding of MLOps and model serving, including:Triton Inference Server, BentoML, KServe on Kubernetes, Ray ServeMonitoring (latency, throughput, data drift), autoscaling, rolling updates
• Experience with online user embedding pipelines, ANN search (e.g. Milvus), and feature stores
• Fluency in Python, SQL, Jupyter, and at least one ML framework (TensorFlow, PyTorch, etc.)
• Excellent communication skills and ability to collaborate across disciplinesPassion for solving hard problems and delivering real-world impact

What we offer you

• An exceptional compensation package along with relocation support to help you move to the Grand Duchy.Your health is our wealth: private health insurance and free gym membership.
• On top of the minimum 26 vacation days, we also provide additional days the longer you work for us.
• We offer breakfast for our employees every day to help them begin the workday.
• The opportunity to see your work directly contribute to the success of the company.
• When you grow, we grow: You have the chance to attend events, meetups, and other perks for your professional growth.
• You’re joining a family and you are going to look the part! We give out company-branded merchandise and clothes to every single new joiner.

Byborg Enterprises is an equal employment opportunity employer. We consider individuals for employment based on their skills, abilities and experience. We thrive to attract and hire a strong, talented and diverse workforce, prohibiting discrimination based on race, color, religious or political beliefs, age, nationality, physical, mental or developmental disability, gender, sexual orientation.

DISCLAIMER: This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at management's discretion. During the recruitment process candidates will be requested to provide with a recent criminal record extract for background screening purpose.

NOTE: Byborg Enterprises does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency without prior approval from our Legal and Recruiting Department to be unsolicited, and such submissions will not be recognized for purposes of “ownership” of the candidate.