Decoding human
potential, together.
Engineering the future of sports analytics with elite expertise in football, racket sports, computer vision, machine learning etc.
SY Park
Chief Executive Officer
A visionary leader merging the worlds of elite sports and technology. As a seasoned Football Analyst and certified FIFA Agent, SY brings deep domain expertise in athlete performance and transfer dynamics. His passion for competitive excellence extends to the digital realm as a successful E-sports Team owner, driving BlueX's mission to decode movement across all platforms.
J Yoon
Chief Technology Officer
Architect of the BlueX technical ecosystem. A fullstack powerhouse with a specialization in Computer Vision and Machine Learning. An avid advocate for JEPA (Joint-Embedding Predictive Architecture), J leads our research into self-supervised video understanding, pushing the boundaries of how AI perceives and analyzes human kinetics in real-time.
Seo Y
Lead Data Analyst
The expert behind our high-fidelity data pipelines. Seo Y specializes in the intricate process of data refinement and processing, ensuring that the raw signals captured by our AI are transformed into actionable insights. Her methodical approach to data integrity is the foundation of BlueX's precision analytics for elite clubs.
Steena
Head of Strategy
Strategic mastermind holding the pulse of our physical data strategy. Steena manages one of the industry's most extensive repositories of physical data metrics. Her expertise in data-driven strategy enables BlueX to benchmark performance at an unprecedented scale, mapping out long-term growth for our B2B partners and athletes.
Multidisciplinary Synergy
A global collective
forged in diversity.
Our strength lies in the seamless convergence of vastly different worlds. Led by SY Park, a trilingual visionary who has anchored his life across China, Korea, and the US while navigating the elite corridors of international football trade, our team embodies a truly global perspective. This international foundation is bolstered by J Yoon, whose multicultural engineering leadership spans HK, the UK, the US, and Korea, bringing a unique blend of Psychology and UX Design to the core of our AI architecture.
The multidisciplinary tapestry is completed by our industry specialists: Seo Y, whose expertise in Customer and Developer Experience was honed at hyper-growth giants like Verizon US, and Steena, a strategic expert with a pedigree at IBM and a proven track record as a successful founder. This unique intersection of elite sports management, behavioral science, global enterprise strategy, and advanced computer vision makes BlueX the ultimate engine for the future of sports AI.
Join the Lab
Open roles for
the next generation.
BlueX is at the intersection of elite sports performance and advanced generative AI. We are building the foundational models for human movement. We seek pioneers who don't just use AI, but are obsessed with leveraging it to redefine how we build software and analyze data.
Research Scientist, Spatiotemporal Models
Seoul / RemoteAs a Research Scientist at BlueX, you will lead the development of our core vision models. You will focus on pushing the boundaries of spatiotemporal understanding, specifically applying self-supervised learning architectures like V-JEPA to the domain of complex human motion in elite sports.
Responsibilities
- • Lead research in self-supervised spatiotemporal learning and joint-embedding predictive architectures.
- • Develop novel algorithms for motion prediction, spatiotemporal masking, and behavioral representation.
- • Publish research at top-tier AI conferences (CVPR, ICCV, NeurIPS) while driving production-ready breakthroughs.
- • Collaborate with engineering teams to scale research models across massive sports video datasets.
Qualifications
- • PhD or equivalent research experience in Computer Vision, Machine Learning, or a related field.
- • Strong publication record in spatiotemporal modeling, video understanding, or SSL.
- • Proactively leverages AI coding assistants and LLMs to accelerate research and implementation.
- • Deep passion for athletics and a desire to see research translate into elite sports impact.
Software Engineer, Physical AI & Kinematics
Seoul / RemoteThis role is focused on bridging the gap between Vision AI and real-world physical dynamics. You will build the systems that translate 2D/3D visual signals into high-fidelity kinematic data, powering our Physical AI marketplace for robotics and sports science.
Responsibilities
- • Design and build low-latency systems for real-time kinematic data extraction and processing.
- • Implement robust pipelines for multi-modal data fusion (video, IMU, skeletal tracking).
- • Architect scalable APIs and data portals for our B2B 'Physical AI' marketplace.
- • Utilize modern AI-assisted development tools to achieve hyper-efficient release cycles.
Qualifications
- • Strong proficiency in C++, Python, and skeletal animation/kinematics principles.
- • Experience with high-performance networking and distributed systems for real-time data.
- • Enthusiastic about using AI agents and copilots to automate infrastructure and boilerplate.
- • Background in Robotics, Game Physics, or Kinesiology is highly preferred.
Product Manager, Sports Intelligence Lab
Seoul / RemoteProduct Managers at BlueX are the connective tissue between elite sports coaching, research, and engineering. You will own the roadmap for our core analytics platform, ensuring our AI provides tactical 'Alpha' for coaches and performance gains for athletes.
Responsibilities
- • Define the long-term vision and product strategy for BlueX's multi-sport analytics suite.
- • Collaborate with professional coaches and certified FIFA agents to identify high-impact tactical needs.
- • Lead cross-functional sprints from concept to launch, balancing research breakthroughs with product stability.
- • Champion an 'AI-native' product culture, leveraging LLMs for rapid user research and report generation.
Qualifications
- • Proven experience managing complex AI or data-driven products from zero to one.
- • Exceptional communication skills with the ability to bridge technical AI and sports domain gap.
- • Obsessed with using AI for productivity—from automated documentation to market analysis.
- • Deep understanding of competitive sports (Football, Tennis, or Cricket) is a must.
Senior Product Designer
Seoul / RemoteAt BlueX, Product Design is about creating intuitive interfaces for high-dimensional kinematic data. You will lead the design of our next-gen 'Holographic' sports dashboard, enabling elite teams to visualize and interact with complex 3D data flows.
Responsibilities
- • Own the end-to-end design process from concept to high-fidelity 'glass-morphic' prototypes.
- • Collaborate with CV Engineers to translate complex ML capabilities into intuitive user experiences.
- • Drive a unified design system that reflects the premium, futuristic BlueX brand identity.
- • Conduct rapid design cycles using generative AI (Midjourney, Luma) to explore new interface paradigms.
Qualifications
- • Professional portfolio showcasing deep design thinking and elite visual execution.
- • Extremely open to using AI for every facet of your work—from ideation to final assets.
- • Enthusiastic about sports aesthetics and a genuine curiosity about AI-human interaction.
- • Proficiency in Figma and experience with 3D UI tools (Spline, Blender) is a plus.
Data Infrastructure Engineer, AI Training Systems
Seoul / RemoteData is the lifeblood of our models. In this role, you will build the high-throughput infrastructure required to ingest, label, and process petabytes of sports video data. You will be responsible for the 'auto-labeling' loop that powers our self-supervised models.
Responsibilities
- • Architect and scale massive video data ingestion and processing pipelines on GPU clusters.
- • Build and maintain automated 'Ground-Truth' labeling systems using Weak Supervision and LLMs.
- • Implement robust data governance and versioning for ML training sets.
- • Leverage AI coding assistants to automate pipeline monitoring and error handling.
Qualifications
- • Expertise in data engineering (Spark, Kafka, Ray) and cloud infrastructure (AWS/GCP/Kubernetes).
- • Proficiency in handling large-scale video formats and spatiotemporal data structures.
- • Lethal proactivity in using AI to automate the data platform itself.
- • Passionate about the intersection of data integrity and model performance.