( Social Discovery Group ( (SDG) is a global technology company that builds apps at the intersection of dating, social, and entertainment. The company’s portfolio includes 70 social discovery platforms with a focus on AI, game mechanics, and video streaming. We actively support and invest in social discovery startups worldwide through our CVC fund.
More than 500 million people in 150 countries enjoy our products, and we strive to have ten times as many.
SDG invests ( in social discovery technology startups around the world. Our Investments ( include Open AI, Patreon, Flo, RAW, EVA AI, Clubhouse, Magnet, Woebot, Flure, Astry, Coursera, Academia, Harbour, Space, Auto1, DocSend, AppAnnie, Rapyd, Boom Supersonic, Trading, View, K-Health and many others.
We solve the problem of loneliness, isolation, and disconnection with the help of digital reality.
Our digital nomad team of more than 1200 professionals works all over the world. Together, we are solving the prevalent problem of loneliness and shaping Social Life 3.0 — a new digital reality where people will be able to fulfil their needs for communication and attention from other people and artificial life forms.
Our teams of digital nomads live and work remotely from Cyprus, Malta, the USA, Thailand, Indonesia, Hong Kong, Japan, Australia, Poland, Israel, Turkey, Latvia and many others.
We are seeking an ML Tech Lead , who will join the Research Center of our Core Business unit.
In this role, you will be responsible for leading a team of talented ML engineers, MLOps, and Developers and supporting them in selecting the right methods for the right tasks. The main areas of influence will be marketing, moderation, support teams, and the chatbot side of the business . While we have a vision for the upcoming year, you will also be free to propose ideas and follow your own plan. From a technical perspective, you will be able to apply algorithms from various ML directions, including classic ML, optimization algorithms, recommendation systems, LLM, and image generation models, with a primary focus on NLP.
Your main tasks will be:
- Leading the team of ML engineers, MLOps, and ML developers;
- Facilitating and maintaining cross-functional collaboration with project owners, analytics, and ML, staying up to date with state-of-the-art solutions in the field;
- Helping the team define the best approach for implementation;
- Defining the roadmap;
- Working closely with leaders across various business functions to increase visibility of the department.
We expect from you:
- Proven track record in the AI sphere with a history of successful projects. At least 5+ years in the industry, including at least 1 year of leadership experience (managing a team of 3 people is essential);
- Deep knowledge of main ML algorithms and state-of-the-art models;
- Proficiency in programming languages for data science: Python, R, SQL, and any other relevant languages;
- Experience in full end-to-end AI product development and MLOps;
- Experience with cloud platforms.
What do we offer:
- REMOTE OPPORTUNITY to work full time;
- 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 $5000 for recommending successful applicants for positions in the company;
- Full payment for professional training, international conferences and meetings;
- Corporate discount for English lessons;
- Health benefits. If you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee according to the paychecks. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
- Workplace organization. The 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;
- Internal gamified gratitude system: receive bonuses from colleagues and exchange them for time off, merch, team building activities, massage certificates, etc.
Sounds good? Join us now!
MLOps cloud-computing Natural language processing (NLP) SQL Artificial intelligence (AI) Python Machine Learning R Software Developer