Top world’s largest social discovery company uniting 70+ brands with 500M+ users
Senior NLP/LLM Engineer
Location
Worldwide
Posted
2 days ago
Salary
0
Seniority
Senior
Job Description
Senior NLP/LLM Engineer
Social Discovery Group
• 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.
Job Requirements
- 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+.
Benefits
- 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.
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