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Hawk-Eye Innovations Ltd
Hawk-Eye Innovations Ltd
201 – 500 Darbinieki
Plašsaziņas līdzekļiSportsTehnoloģijas
Hawk-Eye Innovations Ltd izstrādā tehnoloģijas sporta tiesāšanai, pārraidēm un snieguma analīzei. Tās sistēmas apvieno video atkārtojumus, optisko izsekošanu un datu analīzi, lai nodrošinātu tādus risinājumus kā VAR, vārtu līnijas tehnoloģiju un elektronisko līnijas tiesāšanu. Uzņēmums apkalpo vairāk nekā 25 sporta veidus un ir atbalstījis vairāk nekā 100 000 pasākumu dienu vairāk nekā 100 valstīs, sadarbojoties ar līgām un federācijām, tostarp Premier League, MLB, NFL, NBA un FIFA. Uzņēmums dibināts 2001. gadā, tā galvenā mītne atrodas Basingstokā, Apvienotajā Karalistē, un Hawk-Eye darbojas starptautiski, ar birojiem Atlantā un Melburnā.
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Vakances uzņēmumā

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.

HUUngārijaHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatorredzes inženierisMašīnmācīšanās inženieris
AndroidC++KotlinPython

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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.

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