Senior NLP/LLM Engineer

(https://socialdiscoverygroup.com/about-us/) (https://socialdiscoverygroup.com/about-us)

Confidencial (Apenas para Cadastrados) (https://socialdiscoverygroup.com/about-us) (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.

Your main tasks will be:

• Conduct experiments with LLMs and explore different architectures and techniques such as SFT, RLHF, Adapters, LoRA, and related approaches to improve model capabilities.
• Develop and maintain evaluation methodologies and frameworks to measure model quality, accuracy, and user satisfaction using both offline and online metrics.
• Optimize models for inference efficiency, speed, and scalability to meet production requirements.
• Collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into the product pipeline.

We expect from you:

• Strong proficiency in Python and solid mathematical background, including linear algebra, probability, statistics, and optimization.
• Deep understanding of machine learning, deep learning, classical NLP, and transformer-based approaches.
• Hands-on experience with LLMs, including fine-tuning, SFT, LoRA / QLoRA, prompt tuning, prefix tuning, RLHF, DPO, instruction tuning, evaluation, and inference optimization.
• Practical knowledge of numpy, pandas, scipy, scikit-learn, PyTorch, and transformers.
• Experience with serving / inference frameworks such as vLLM, SGLang, or similar tools.
• English level B2+.
• Nice to have: experience with distributed training, cloud platforms (AWS / GCP / Azure), and/or relevant ML publications.

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!