Senior NLP Engineer

Social Discovery Group (SDG) is a global technology company that builds apps at the intersection of dating, social, and entertainment. The company's portfolio includes 70 social discovery platforms with a focus on AI, game mechanics, and video streaming. We actively support and invest in social discovery startups worldwide through our CVC fund. More than 500 million people in 150 countries enjoy our products, and we strive to have ten times as many. SDG invests in social discovery technology startups around the world. Our Investments include Open AI, Patreon, Flo, RAW, EVA AI, Clubhouse, Woebot, Flure, Astry, Coursera, Academia, Harbour, Space, Auto1, DocSend, AppAnnie, Rapyd, Boom Supersonic, Trading, View, K-Health and many others. We solve the problem of loneliness, isolation, and disconnection with the help of digital reality. Our digital nomad team of more than 1200 professionals works all over the world. Together, we are solving the prevalent problem of loneliness and shaping Social Life 3.0 — a new digital reality where people will be able to fulfil their needs for communication and attention from other people and artificial life forms. Our teams of digital nomads live and work remotely from Cyprus, Malta, the USA, Thailand, Indonesia, Hong Kong, Japan, Australia, Poland, Israel, Turkey, Latvia and many others.

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, sci-kit-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.

If it's all about your interests and your expertise - message me here or on telegram @hannazosik