Senior NLP/LLM Engineer

Навыки

• Дообучение моделей
• LLM
• Инференс LLM
• Machine Learning
• Room / Realm / CoreData
• NLP
• NumPy

О компании и продукте

• Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
• Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.
• We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
• 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).

Задачи

• Conducting experiments with LLMs: Explore and analyze the effectiveness of different architectures and techniques (SFT, RLHF, Adapters, etc.) to enhance the capabilities of AI models
• Developing and implementing evaluation methodologies: Implement and maintain robust frameworks to assess the performance, accuracy, and user satisfaction of AI bots, including offline and online metrics
• Optimizing models for inference: Improve the efficiency and speed of AI models during inference to ensure they meet the performance and scalability requirements for production environments
• Collaborating with cross-functional teams: Work closely with data scientists, software engineers, and product managers to integrate AI solutions into the overall product pipeline

Требования

• Deep understanding of ML and DL principles: Strong knowledge of classical machine learning algorithms, model validation approaches, and evaluation metrics, as well as neural network architectures, training principles, loss functions, and deep learning metrics
• Deep understanding of classic NLP: Hands-on knowledge of core NLP approaches and tasks, including text preprocessing, TF-IDF and vectorization methods, text classification, named entity recognition, semantic similarity, and transformer-based models such as BERT
• Deep understanding of LLMs: Practical experience with large language models, including fine-tuning and adaptation via SFT, LoRA, QLoRA, prompt tuning, and prefix tuning
• familiarity with alignment approaches such as RLHF and DPO
• understanding of data preparation, instruction tuning, evaluation, inference optimization, quantization, and deployment using vLLM, SGLang, and similar high-performance serving frameworks
• Proficiency in Python and mathematics: Strong coding skills in Python and solid knowledge of linear algebra, probability, statistics, and optimization for machine learning and neural network development
• Familiarity with ML frameworks and tools: numpy, pandas, scipy, scikit-learn, pytorch, transformers
• English level: B2+

Условия

• 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)
• 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!
• 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

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