Recommender Systems Specialist
Recommender Systems Specialist
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1 Vacancy
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 finetune 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 largescale recommendation systems data mining feature engineering hyperparameter tuning customer segmentation
- Expert level knowledge of the following topics: recommender systems topN recommendation collaborative filtering matrix factorization contentbased filtering hybrid algorithms sessionbased 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 scikitlearn pandas tensorflow)
- Handson experience building scalable machine learning models and infrastructure for recommender systems search ranking ads or similar
- Understanding of the relationships and tradeoffs 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 datadriven 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.
- Youre joining a family and you are going to look the part! We give out companybranded 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 allinclusive listing of duties and responsibilities. Contents are subject to change at managements 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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
