Product Manager (NLP)

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, Magnet, 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 fulfill 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 Product Manager (NLP) for one of our investment products.

ML Team Objective: To improve the business performance of the product by enhancing the co-pilot system in user dialogues and the generative models underpinning it. The responses generated by the bot should be optimized for relevance, the likelihood of continuing the dialogue, and the potential to increase the average transaction value.

Your main tasks will be:

• Manage a team of ML engineers and improve the architecture of ML services to achieve business goals;
• Develop and implement a strategy for the NLP direction;
• Break down business tasks into sub-tasks and determine the necessary resources for their end-to-end execution;
• Lead and oversee the following tasks:
  • Create and integrate necessary ML models into the overall system;
  • Test and evaluate the created solutions;
  • Optimize model training;
  • Improve the system of automated tests and criteria for evaluating new models;
  • Collect and prepare data needed for model training.

We expect from you:

• Experience as an NLP Engineer in the past or present;
• Ability to fine-tune open LLMs, with experience in this or leading a team that does;
• Practical experience with basic NLP concepts (ngrams, skip-grams, tf-idf, etc.);
• Experience in developing components for dialogue systems, either directly or by leading a team working on this;
• Experience managing an ML team.

We hope you have the following knowledge:

• Understanding of mathematical algorithms for machine learning, main types of models, and criteria for evaluating their performance;
• Practical experience in developing and deploying microservices;
• Proficiency in Python and machine learning libraries (Scikit-learn, Pandas, Matplotlib, Numpy, Scipy, Sklearn);
• Knowledge of the PyTorch Deep Learning framework;
• Confident use of OS Linux/Unix and version control systems like git;
• Ability to independently build a pipeline;
• Understanding of how ONNX works;
• Experience with SQL/NoSQL databases;
• Experience fine-tuning GPT-like models;
• Experience using GloVe, ELMo, RNN, CNN, Transformer, BERT;
• Experience with virtualization technologies (Docker, etc.);
• Experience with deepspeed/Jax;
• Courses like ODS, MIPT+Huawei will be an advantage.

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!