Social Discovery Group (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 - Dating.com, DateMyAge, Cupid Media, Dil Mil, Kiseki, and others.
SDG invests in IT startups around the world. Our investments include Open AI, Patreon, Flo, Clubhouse, Woebot, Flure, Astry, Coursera, 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 1200 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.
In August 2024, we achieved Great Place to Work US Certification™! This achievement reflects our core belief that a truly exceptional workplace is built on trust, pride, and camaraderie—not just great perks.
We are looking for a Senior ML Engineer to join one of our core AI teams and work on a large-scale AI product with hundreds of thousands of active users.
This role is for a strong hands-on ML engineer who enjoys working with modern LLM systems, multimodal models, and production AI pipelines. You will work on building and improving large-scale machine learning systems, developing data pipelines, and experimenting with cutting-edge generative AI technologies.
Your main tasks will be:
- Design and build production-grade ML systems, including LLM-based applications and AI agents
- Develop and maintain scalable data pipelines for training and evaluating machine learning models
- Work with large multimodal datasets (text, images, video) and build efficient data processing workflows
- Improve model quality, evaluation pipelines, and automated metrics
- Implement and optimize training and inference pipelines, including GPU optimization where needed
- Experiment with modern generative AI approaches, including LLMs and multimodal models
- Collaborate closely with engineers and product teams to deliver robust ML solutions in production
- Continuously improve system performance, reliability, and scalability
We expect from you:
- 5+ years of hands-on experience in Machine Learning / AI engineering
- Strong Python programming skills and experience building production systems
- Experience working with LLMs, generative AI, or modern deep learning models
- Experience building data pipelines and processing large datasets
- Experience with distributed data processing frameworks (Ray, Spark, Dask, or similar)
- Solid understanding of model training, evaluation, and optimization techniques
- Ability to take ownership of solutions end-to-end and work independently
- Strong problem-solving skills and ability to operate in a fast-paced environment
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 $5000 for recommending successful applicants for positions in the company;
- 50%payment for professional training, international conferences and meetings;
- Corporate discount for English lessons;
- Health benefits. According 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);
- 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 our merchandise, team building activities, massage certificates, etc.
Sounds good? Join us now!