Senior Ml Engineer - Full Remote
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Job description
Social Discovery Group (SDG) is one of the world's largest groups of social discovery companies, uniting millions of users on dozens of products.SDG solves the problem of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal.SDG products redefine the way people interact and connect with each other.Our portfolio includes social entertainment platforms designed to connect people online across different cultures in different parts of the world.This includes globally recognized brands such as DateMyAge,, EuroDate, Dil Mil and Cupid Media.SDG has a presence in more than 150 countries.SDG invests in social discovery and IT startups around the world directly or via VC funds.Among our VC investments are Patreon, Open AI, Clubhouse, Coursera,, Flo, Academia.Edu, and many others.We 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 ****+ professionals and digital nomads works all over the world.Our teams of digital nomads work remotely from Cyprus, 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.We're proud to be a two-time "Great Place to Work" winner (USA & Japan, *********) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, ).We are looking for a Senior ML Engineer to join our Core team.As 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.You'll work in a team with other ML engineers, MLOps, and developers who help you ship reliably.Your daily activities: - Own a project end-to-end: from data and experiments to production and monitoring - Improve existing recommender models (ranking/matching) and iterate via offline evaluation + A/B tests - Build and refine value prediction signals (e.G.,, first purchase / conversion probability) - Develop training and scoring pipelines; ensure data quality andreproducibility - Deploy models to production (batch/API), package solutions into Docker, follow CI/CD practices - Collaborate with Product and Analytics to define success metrics and turn results into product changes - Share knowledge through code reviews, documentation, and mentoring within the team We expect from you: 3+ years of hands-on classic ML development (from data exploration to production use) Strong Python for ML (pandas, NumPy, scikit-learn; solid coding and debugging skills) Solid understanding of ML algorithms and how to choose the right approach for a task Experience with recommender/ranking problems and their evaluation (offline metrics, A/B testing basics) SQL and experience working with large datasets Production ML experience: building training/inference pipelines, deployment, monitoring, Docker Cloud experience: AWS / GCP / Azure (at least one) Fluent Russian What do we offer: REMOTE OPPORTUNITY to work full time; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $ for recommending successful applicants for positions in the company; 50%
Requirements
We are looking for a Senior ML Engineer to join our Core team. As 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. You'll work in a team with other ML engineers, MLOps, and developers who help you ship reliably. Your daily activities: - Own a project end-to-end: from data and experiments to production and monitoring - Improve existing recommender models (ranking/matching) and iterate via offline evaluation + A/B tests - Build and refine value prediction signals (e.G.,, first purchase / conversion probability) - Develop training and scoring pipelines; ensure data quality andreproducibility - Deploy models to production (batch/API), package solutions into Docker, follow CI/CD practices - Collaborate with Product and Analytics to define success metrics and turn results into product changes - Share knowledge through code reviews, documentation, and mentoring within the team We expect from you: 3+ years of hands-on classic ML development (from data exploration to production use) Strong Python for ML (pandas, NumPy, scikit-learn; solid coding and debugging skills) Solid understanding of ML algorithms and how to choose the right approach for a task Experience with recommender/ranking problems and their evaluation (offline metrics, A/B testing basics) SQL and experience working with large datasets Production ML experience: building training/inference pipelines, deployment, monitoring, Docker Cloud experience: AWS / GCP / Azure (at least one) Fluent Russian What do we offer: REMOTE OPPORTUNITY to work full time; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $**** for recommending successful applicants for positions in the company; 50%