GenAI/NLP Algorithm Developer

Description

WSC Sports, the pioneer in AI-powered sports content technology, empowers their clients world-wide to connect with their fans through AI-tailored sports content experiences. WSC Sports’ platform automates the creation, management and distribution of content, enabling sports rights holders to expand reach, grow fan bases, and unlock revenue opportunities across digital platforms.

Why WSC Sports:

You'll work in an exciting environment alongside some of the most innovative people in the industry, using cutting-edge tools and technologies. At WSC Sports, you have the opportunity to directly influence the products and solutions used by our clients worldwide, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and that's just the beginning of what we have to offer! Join us and be a part of the best tech team as we Fuel The Fandom.

WSC Sports is looking for a GenAI/NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Generative AI research - we are looking for you!

What you’ll do:

• The team’s main focus: NLP & Generative AI.
• Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
• Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.

In addition, part of the role & responsibilities will be:

• Develop the algorithms that drive our diverse range of products.
• Combine deep language models, state-of-the-art Generative models and classical ML/NLP techniques to create high-quality solutions for demanding product-oriented NLP tasks.
• Engage in collaboration with product, account, and customer success teams to establish success criteria and convert them into measurable objectives and quantitative measures.
• Conduct training and evaluation of models within practical production scenarios.

Requirements

What you’ll need:

• Degree in Computer Science/Electrical Engineering/related field with a focus on AI/NLP/Computer Vision/ML from a well-known university.
• Strong background, 3+ years of industry experience required in Machine Learning and Deep Learning algorithms.
• Practical NLP experience.
• Proficiency in Python programming language. 
• Strong analytical and problem solving skills.
• Independence and ownership, ability to come up with innovative solutions and evaluate them quickly.

Preferred Qualifications:

• M.Sc or PHD. 
• Experience with Generative AI (mainly LLMs).
• Full cycle development: research to production.