Recommender Systems Specialist

Company Description

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

• Help integrate the latest industry standards, best practices and academic advancements into the production system
• Participate in strategic planning and brainstorming sessions to identify directions for improving the recommendations
• Improve business KPIs with new features and configurations
• Formulate hypotheses, setup, fine-tune and evaluate AB tests
• Prototype new models
• Identify ways to evaluate and compare competing models
• Share knowledge and increase team capabilities
• Improve the quality and quantity of used data, feature engineering and data mining

Qualifications

• Master or above degree in Computer Science or related technical discipline
• Research or industry experience in one or more of the following areas: applied machine learning, personalization, search, large-scale recommendation systems, data mining, feature engineering, hyperparameter tuning, customer segmentation
• Expert level knowledge of the following topics: recommender systems, top-N recommendation, collaborative filtering, matrix factorization, content-based filtering, hybrid algorithms, session-based recommendation, offline and online evaluation of recommender systems, quality metrics of recommendations
• Familiarity with classic baseline algorithms like: SR, AR, IKNN, MF
• Working with popular data science languages and tools (Python, Jupyter Notebooks, scikit-learn, pandas, tensorflow)
• Hands-on experience building scalable machine learning models and infrastructure for recommender systems, search, ranking, ads or similar
• Understanding of the relationships and trade-offs between response time, model complexity, memory constraints, recommendation quality, etc. when implementing solutions
• Good communication skills with the ability to translate intuition and business requests into data-driven hypotheses
• Passion about solving challenging problems and creating maximum business value in the most efficient manner
• Familiarity with the streaming industry is a plus
• Exposure to Landing Page Optimizations, Paid Advertising is a plus
• Experience programming in Java, C++, Python or related language is a plus
• Attending or publishing at RecSys or other top conferences like ICML, NIPS, ICLR is a big plus

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.

Additional Information

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.