PbSocial Discovery Group /b (SDG) is the 3rd largest social discovery company in the world, uniting 60+ brands with 500 million users. We solve the problems of loneliness, isolation, and disconnection by transforming virtual intimacy into the new normal. Our portfolio includes online communication platforms focusing on AI, game mechanics, and video streaming -, DateMyAge, Cupid Media, Dil Mil, Kiseki, and others. /ppbr/ppbSDG invests in IT startups around the world. /b Our investments include Open AI, Patreon, Flo, Clubhouse, Woebot, Flure, Astry, Coursera, Academia.edu, and many others. /ppbr/ppWe bring together a team of like-minded people and IT professionals specializing in the creation and development of globally impactful social discovery products. Our international team of 1200 professionals and digital nomads works all over the world. /ppbr/ppbOur teams of digital nomads /b work remotely from bCyprus, Malta, the USA, Armenia, Georgia, Kazakhstan, Montenegro, Poland, Latvia, Serbia, Spain, Portugal, UAE, Israel, Turkey, Thailand, Indonesia, Japan, Hong Kong, Australia and many other locations. /b /ppbr/ppIn August 2024, we achieved bGreat Place to Work US Certification™! /bThis achievement reflects our core belief that a truly exceptional workplace is built on trust, pride, and camaraderie—not just great perks. /ppbr/ppWe are looking for a Senior ML Engineer to join our Core team. /ppbr/ppAs an ML Engineer, you will own ML projects that improve communication activity and monetization across our products. Your main focus will be recommendation systems and user value (LTV) signals, with room to expand into adjacent areas if you want to drive new ideas. /ppYou’ll work in a team with other ML engineers, MLOps, and developers who help you ship reliably. /ppbr/ppbYour daily activities: /b /ppbr/pulliOwn a project end-to-end: from data and experiments to production and monitoring /liliImprove existing recommender models (ranking/matching) and iterate via offline evaluation + A/B tests /liliBuild and refine value prediction signals (e.g.,, first purchase / conversion probability) /liliDevelop training and scoring pipelines; ensure data quality and reproducibility /liliDeploy models to production (batch/API), package solutions into Docker, follow CI/CD practices /liliCollaborate with Product and Analytics to define success metrics and turn results into product changes /liliShare knowledge through code reviews, documentation, and mentoring within the team /li /ulpbr/ppbWe expect from you: /b /ppbr/pulli3+ years of hands-on classic ML development (from data exploration to production use) /liliStrong Python for ML (pandas, NumPy, scikit-learn; solid coding and debugging skills) /liliSolid understanding of ML algorithms and how to choose the right approach for a task /liliExperience with recommender/ranking problems and their evaluation (offline metrics, A/B testing basics) /liliSQL and experience working with large datasets /liliProduction ML experience: building training/inference pipelines, deployment, monitoring, Docker /liliCloud experience: AWS / GCP / Azure (at least one) /li /ulpbr/ppbWhat do we offer: /b /ppbr/pullibREMOTE OPPORTUNITY /b to work full time; /lilibVacation /b 28 calendar days per year; /lilib7 wellness days per year /b (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; /lilibBonuses up to $5000 /bfor recommending successful applicants for positions in the company; /lili50%b payment for professional training, international conferences and meetings; /b /liliCorporate discount for bEnglish lessons; /b /lili bHealth benefits. /bAccording to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); /lili bWorkplace organization. /bThe company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; /lilibInternal gamified gratitude system: /breceive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. /li /ulpbr/ppbSounds good? Join us now! /b /p