Senior Machine Learning Engineer (Computer Vision)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Senior Machine Learning Engineer (Computer Vision): Developing and optimizing real-time tracking models for sports officiating and fan engagement systems with an accent on performance, scalability, and integration. Focus on designing robust ML architectures, mentoring team members, and deploying cutting-edge solutions for top-tier global sports leagues.
Location: Must be based in Budapest, Hungary (Hybrid: 2 days per week in the office).
Company
A global leader in sports technology, providing real-time ball, player, and skeletal tracking solutions for major professional sports leagues.
What you will do
- Design and develop machine learning models optimized for real-time performance.
- Integrate advanced ML features into the SkeleTRACK product suite.
- Analyze model performance and implement improvements to enhance accuracy and speed.
- Mentor junior engineers and lead technical discussions within the team.
- Collaborate with annotation teams to optimize data quality and workflow efficiency.
- Own solutions from initial design through to final delivery.
Requirements
- Strong programming fundamentals in Python.
- Extensive experience with PyTorch and PyTorch-Ignite.
- Proficiency in model optimization using TensorRT.
- Experience working in Linux and Windows 10 environments.
- Strong collaborative skills using GIT.
- Must be based in or able to work from Budapest, Hungary.
Nice to have
- Proficiency in modern C++ (C++17/20) and CUDA.
- Experience with OpenCV, ClearML, and CMake.
- Familiarity with TypeScript and React.
- Knowledge of CI/CD workflows using TeamCity.
Culture & Benefits
- Hybrid working model with 2 days per week in the office.
- Annual leave in accordance with local Hungarian labour law.
- Access to exclusive sporting events and tickets.
- Sony Group Company employee discounts.
- Collaborative environment focused on continuous learning and technical excellence.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β