Senior NLP Engineer

2 Months ago • All levels
Software Development & Engineering

Job Description

Social Discovery Group (SDG) is a leading social discovery company with over 60 brands and 500 million users globally, focusing on transforming virtual intimacy. They are seeking a Senior NLP Engineer to conduct experiments with LLMs, develop and implement evaluation methodologies for AI bots, and optimize models for inference. The role involves collaborating with cross-functional teams. The ideal candidate will have proficiency in Python, algorithms, mathematics, deep understanding of ML and DL principles, comprehensive expertise in NLP and LLMs, familiarity with ML frameworks (numpy, pandas, scipy, scikit-learn, pytorch, transformers), and a B2+ English level. The company is Great Place to Work US Certified™ and offers remote work opportunities.
Good To Have:
  • Experience in distributed training
  • Relevant publications
  • Knowledge of cloud platforms (AWS, GCP, Azure)
Must Have:
  • Proficiency in Python, algorithms, and mathematics
  • Deep understanding of ML and DL principles
  • Comprehensive expertise in NLP and LLM
  • Familiarity with ML frameworks and tools (numpy, pandas, etc.)
  • English level B2+
Perks:
  • Remote opportunity
  • 28 calendar days vacation
  • 7 wellness days per year
  • Bonuses up to $5000 for referrals
  • Full payment for professional training and conferences
  • Corporate discount for English lessons
  • Health benefits (up to $1000 compensation)
  • Workplace organization reimbursement
  • Internal gamified gratitude system

Add these skills to join the top 1% applicants for this job

cross-functional
game-texts
aws
azure
numpy
scikit-learn
pytorch
deep-learning
reinforcement-learning
pandas
python
algorithms
linear-algebra
machine-learning

Social Discovery Group (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.

We are looking for a Senior NLP Engineer.

Your main tasks will be:

    • 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.

    We expect from you:

    • Proficiency in Python, algorithms, and mathematics: Strong coding skills in Python and a solid foundation in algorithms, linear algebra, probability, and statistics;
    • Deep understanding of ML and DL principles: Comprehensive knowledge of machine learning and deep learning concepts, including supervised, unsupervised, and reinforcement learning;
    • Comprehensive expertise in NLP and LLM: In-depth experience with natural language processing and large language models;
    • Familiarity with ML frameworks and tools: numpy, pandas, scipy, scikit-learn, pytorch, transformers;
    • English level: B2+.

    Nice to have:

    • Experience in distributed training: Ability to implement and manage distributed learning workflows, ensuring efficient parallel training of models across multiple GPUs and nodes;
    • Relevant publications: Demonstrated expertise through publications in reputable conferences or journals, showcasing contributions to the field of machine learning and AI;
    • Knowledge of cloud platforms: Hands-on experience with cloud services like AWS, GCP, or Azure for training DL models.

    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;
    • Full payment for professional training, international conferences and meetings;
    • Corporate discount for English lessons;
    • Health benefits. If you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee, according to the paychecks. 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 time off, merch, team building activities, massage certificates, etc.

    Sounds good? Join us now!

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