ML engineer /NLP engineer

Social Discovery Group (SDG) is the third-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 worldwide. 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 specialising in creating and developing globally impactful social discovery products. Our international team of 1200 professionals and digital nomads works worldwide.

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 Middle ML engineer /NLP engineer.

As an MLE in this position, you will be participating in various tasks concerning communication activities on our sites and other ML for core business tasks. The team currently owns large projects like ML for marketing, a recommendation system, a chatbot for the support team, and a moderation service. You will concentrate on auto-moderation and chatbot projects, but if you are full of ideas and skills, you will always be supported in bringing great ideas to life. In your team, several ML engineers, MLOps, and devs will help with infrastructure or discuss approaches.

Your daily activities:

• Work on NLP-related tasks as part of the team, including writing prompts, creating functions, and fine-tuning models when necessary;
• Build ML/AI models, write services (if needed for the project), and wrap them into Docker;
• Collaborate with a cross-functional team of: Product owner, Analytics, ML;
• Share ideas and help with knowledge with the team.

We expect from you:

• Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib, Plotly);
• Excellent coding skills;
• Strong knowledge of LLMs: APIs, best models, and prompting techniques;
• Familiarity with Data & ML production pipelines (Airflow, MlFlow);
• Proven experience working on ML solutions.

Plus:

• Understanding of classical software development principles;
• Experience with Azure, AWS, or GCP;
• Experience with OpenAI API or similar technologies;
• Hands-on experience with NLP-related tasks (text classification, summarisation, chatbot development, sentiment analysis, NER, topic extraction, etc.).

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;
• Full 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 doctor’s fees for yourself and close relatives (spouse, children);
• ​Workplace organisation. 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 places, 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!