Senior NLP / LLM Engineer

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, Dating.com, EuroDate, Dil Mil and Cupid Media. SDG has a presence in more than 150 countries.

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 1000+ 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, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).

We are looking for a Senior NLP Engineer.

Your main tasks will be:

• Conduct experiments with LLMs and evaluate different architectures and techniques (SFT, RLHF, Adapters, etc.)
• To improve conversational AI quality;
• Develop and maintain robust evaluation frameworks to assess model performance, accuracy, and user satisfaction using offline and online metrics;
• Optimize models for inference, improving speed, efficiency, and scalability for production environments;
• Fine-tune and adapt large language models using approaches such as LoRA, QLoRA, prompt/prefix tuning, and instruction tuning;
• Collaborate closely with Data Scientists, Software Engineers, and Product Managers to integrate AI solutions into the product pipeline;
• Participate in improving deployment and inference stack, including evaluation of serving frameworks such as vLLM and SGLang.

We expect from you:

• Strong hands-on experience with LLM fine-tuning and adaptation techniques such as SFT, LoRA, QLoRA and etc.
  
  
• Practical experience in training and improving NLP / LLM models, not only integrating third-party APIs or building RAG pipelines;
  
  
• Deep understanding of Machine Learning, Deep Learning, and classical NLP concepts;
  
  
• Experience with transformer-based architectures and modern NLP/LLM model development workflows;
  
  
• Understanding of model evaluation methodologies, offline/online metrics, and experimentation frameworks;
  
  
• Experience with inference optimization, quantization, and deployment/serving frameworks such as vLLM, SGLang, or similar;
  
  
• Strong Python skills and practical experience with ML frameworks such as PyTorch, Transformers, NumPy, Pandas, Scikit-learn;
  
  
• Good understanding of software engineering best practices and production-oriented development mindset;
• English level B2+.

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!