Machine Learning Engineer

компания "social discovery ventures" social discovery ventures is the world’s largest group of social discovery venture companies which unites more than 40 brands, an investment fund, and a venture studio. for more than 20 years we have been creating premium international dating services and in our sdv lab we develop and test new products with a focus on video streaming, ai technologies, entertainment, and game mechanics. our products are already used by more than 140 million users in 100 countries around the world. we strive to have 10 times as many. now our team unites more than 700 professionals from all over the world. our international team of like-minded people and professionals solve ambitious tasks everyday and create truly global products. we value focus on result, proactive approach and we are always for new and unconventional ideas.we have offices in malta (sliema), latvia (riga), the usa (new york, san francisco), china (chongqing), hong kong, colombia (medellin), queensland (australia), armenia (erevan), kenya (nairobi), and georgia (batumi).the target market for our products is the usa, western europe, canada, uk, asia, and australia. we are now looking for a ml engineer for our own research center. responsibilities: develop and maintain data pipelines; analyze users interests using text data; improve the methodology and models for analyzing the effectiveness of advertising campaigns; develop a system of personal content recommendations. requirements: 3+ years of experience confident knowledge in probability theory, mathematical statistics and machine learning; work with various data sources - sql / no-sql; experience in implementing machine learning pipelines in production; knowledge of python (flask, airflow); experience in classic ml. experience in deep learning using any modern framework (torch, tf, etc.). what we offer: remote work (you can work from anywhere); competitive salary; loyalty bonuses, referral bonuses, bonuses for extraordinary achievements; access to a wide range of personal training and development programs. own collection of branded clothing and accessories with corporate logo for different occasions (welcome pack, gift after probation period, for professional holidays and corporate parties); library of technical and business literature, lectures on art&technology and healthy lifestyle; internal gamified gratitude system: bonuses from colleagues which you may exchange them for day off, merch, team building activities, massage certificates, etc; 7 sick days a year (days off), which can be used to deal with domestic issues, to take a rest and recover without taking sick leave. participation in sports events (rafting, carting), corporate events. apply now — we cannot wait!