Hawk-Eye Innovations Ltd dezvoltă tehnologie pentru arbitraj sportiv, transmisiuni și analiza performanței. Sistemele sale combină reluarea video, urmărirea optică și analiza datelor pentru a susține instrumente precum VAR, tehnologia liniei porții și semnalizarea electronică a liniilor. Compania deservește peste 25 de sporturi și a susținut mai mult de 100.000 de zile de evenimente în peste 100 de țări, colaborând cu ligi și federații precum Premier League, MLB, NFL, NBA și FIFA. Înființată în 2001 și cu sediul în Basingstoke, Regatul Unit, Hawk-Eye operează la nivel internațional prin birouri în Atlanta și Melbourne.
Senior Android Computer Vision Engineer
Build on-device sports tracking technology for Hawk-Eye Innovations, optimising computer vision inference across consumer devices. The work supports elite and semi-professional sport.
Descriere
- Design Android inference solutions that meet demanding accuracy, latency and performance targets.
- Develop and maintain C++ components with the Android NDK and JNI, integrated with the Kotlin application.
- Convert, quantise, profile and optimise detection and tracking models.
- Solve practical camera challenges involving frame timing, exposure and camera behaviour.
- Create validation tools and measurement processes that use ground truth.
- Account for thermal limits, battery use, hardware variation and field conditions.
- Work with computer vision and machine learning specialists to improve models.
- Help decide which workloads run on-device and assess the technical trade-offs.
- Write production software that is maintainable, testable and reliable.
- Collaborate with mobile application, backend and machine learning engineers.
- Use AI-assisted and delegated development tools in line with security and intellectual property guidelines.
- May mentor engineers, provide technical leadership in on-device vision, and establish standards and practices.
Cerințe
- At least four years of applied computer vision or machine learning engineering experience, including production deployments.
- Experience running inference on Android or embedded devices.
- A degree in computer science, engineering, mathematics or a related field, or equivalent practical experience.
- Strong interest in learning new technologies, tools and platforms.
- Expert knowledge of applied computer vision, including object detection, tracking and camera geometry.
- Expert knowledge of mobile or embedded inference runtimes, model conversion and quantisation toolchains.
- Expert knowledge of model optimisation and performance profiling for resource-constrained hardware.
- Expert knowledge of C++, particularly the Android NDK and JNI.
- Expert knowledge of measuring and validating model accuracy against ground truth.
- Proficiency with Kotlin, Python, mobile camera capture pipelines, machine learning fundamentals, Git, code reviews and continuous integration practices.
- Understanding of real-time and latency-sensitive systems, spatial computing, multi-view reconstruction, and the Android app development and release lifecycle is beneficial.
Beneficii
- Annual leave in line with local labour law.
- Hybrid working, with two days per week in the office.
- Access to sporting events and tickets.
- Discounts from Sony Group companies.
- Cafeteria options, including a SZÉP Card, nursery and kindergarten contributions, and an annual MOL Bubi pass.
- Private medical insurance.
- Life and accident insurance.
- Discounts at MindentMent Dental Clinic.
- Seniority awards.
- Employee Assistance Program.