Informacje o stanowisku

Vision is an AI and Computer Vision company transforming how sports are analyzed, visualized, and monetized. Our proprietary single-camera system extracts elite-level tracking data and performance analytics from standard broadcast or tactical video, without wearables or in-venue installations. Already used by global clubs, federations like FIFA, Concacaf, or CONMEBOL and for competitions like Euro or Copa America, we are actively expanding into media, fan engagement, and betting applications.

Our pipeline combines advanced computer vision and deep learning models to track all players and the ball in 3D using a single-camera feed. The resulting positional data powers our growing product suite: from match analytics platform to visual content, including 3D match reconstructions (see an early demo: YouTube ) and real-time broadcast augmentation with dynamic stats and virtual overlays. In parallel, we’re building new layers on top of our core data, including realistic 3D match reconstructions and virtual overlays for enhanced broadcast experiences.

As a Principal ML Engineer specializing in LLMs at ReSpo.Build systems that combine our computer vision outputs with LLMs to generate match summaries, player insights, tactical analysis, and real-time commentary
# Develop RAG architectures that leverage our vast sports database, enabling LLMs to provide accurate, context-aware responses about matches, players, and tactics
# Prompt Engineering & Fine-tuning : Optimize LLMs for sports-specific tasks through prompt engineering, fine-tuning, and potentially training sport-specific models
# API & Integration Layer : Create robust APIs that allow our clients to leverage LLM capabilities, from automated match reports to conversational sports analytics


You understand the full LLM stack: from embeddings and vector databases to inference optimization and prompt engineering
# Youre comfortable with the full stack: data pipelines, model serving, API design, and monitoring LLMs in production
# Core Technical Requirements
# Experience with vector databases, embedding systems, and semantic search
# Track record of shipping LLM products that handle production scale and reliability requirements
# Strong software engineering fundamentals and API design skills
# Contributions to open-source NLP/LLM projects
# A chance to work with a top-tier engineering team, including Kaggle Grandmasters
# Hybrid work model
# Flexibility in employment type (B2B/contract of employment)
# Private healthcare and Multisport card
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Ząbki - Oferty pracy w okolicznych lokalizacjach