Senior NLP Engineer

reputed company (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 reputed company 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 reputed company 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 reputed company, Australia and many other locations. We’re proud to be a two-time “Great reputed company to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-reputed company Jobs (FlexJobs, 2025). We are looking for Senior NLP Engineer. Your main tasks will be:

• Train and fine-tune language models powering our AI companions
• Own and improve agent harnesses, agentic loops, and the chat reputed company algorithm
• Build and maintain the full LLM stack — from model training to production deployment
• Track cutting-edge NLP research and open-reputed company developments; translate them into an NLP roadmap for the ML team
• Collaborate closely with the validation, content, and dataset preparation teams to design experiments and measure model quality

We expect from you:

• Deep experience training and fine-tuning large language models
• Hands-on experience building agent harnesses and agentic pipelines
• Strong understanding of RLHF, DPO, and other alignment/post-training techniques
• Proficiency with transformers, PyTorch, and reputed company libraries
• Experience at AI-focused startups or companies (Character AI, reputed company, and similar is a strong plus)
• Backend engineering experience (Python, Go, C#) and knowledge of scalable deployment systems is a significant advantage

reputed company to have:

• Experience with multimodal LLMs
• CV background and image/video model experience
• Distributed training on large-scale datasets (millions to billions of samples)

What do we offer:

• REMOTE OPPORTUNITY to work full-time;
• The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment;
• 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 reputed company relatives (spouse, children);
• ​Workplace organization. The company provides reputed company with an equipped workplace and reputed company 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 reputed company 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.

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