Senior Machine Learning Research Engineer

1 Hour ago • 3 Years + • Research & Development • Artificial Intelligence • Undisclosed

About the job

Job Description

As a Senior Machine Learning Research Engineer at Hawk-Eye Innovations, you will collaborate with the Computer Vision Engineering team to develop and deploy real-time solutions for tracking balls and players. You will design and build cutting-edge machine learning models using Python and various libraries like PyTorch, PyTorch-Ignite, NumPy, and Pandas. Responsibilities include mentoring junior engineers, independently delivering solutions, writing efficient code, and communicating effectively with engineering and product teams. You will support global deployments utilizing technologies like Linux, Windows 10, and TensorRT. The role requires proficiency in Python, machine learning, and computer vision, with experience in agile environments.
Must have:
  • Bachelor's/Master's degree in relevant field
  • 3+ years experience in ML/CV
  • Proficiency in Python & PyTorch
  • Linux/Windows familiarity
  • Strong problem-solving skills
Good to have:
  • PhD in related field
  • Experience with C++, CUDA, TensorRT
  • TypeScript & React experience
  • Knowledge of QT, TeamCity, JIRA, Confluence
Perks:
  • Annual Leave (local law)
  • Hybrid work model
  • Access to sporting events
  • Sony Group discounts
  • Cafeteria options
  • Private medical insurance
  • Life & accident insurance
  • Dental clinic discounts
  • Seniority awards
  • Employee Assistance Program

Join Our Team as a Senior Machine Learning Research Engineer at Hawk-Eye Innovations

Hi, I’m Gabriel Costa, the Machine Learning Team Lead at Hawk-Eye Innovations. If you’re a passionate, innovative, and highly motivated engineer who loves tackling exciting challenges in machine learning and computer vision, I’d love for you to join us. Together, we’ll push the boundaries of sports technology and make an impact on how the world experiences sports.

What Your Day Will Look Like

  • Collaborate with the Computer Vision Engineering team to develop and deploy innovative solutions for tracking balls and players in real-time.

  • Design and build cutting-edge machine learning models using Python and libraries like PyTorch, PyTorch-Ignite, Numpy, Jupyter, and Pandas.

  • Mentor and lead junior engineers, fostering an environment of innovation and excellence while maintaining modern architecture and design practices.

  • Independently understand requirements, deliver solutions, and write robust, efficient code with minimal guidance.

  • Maintain effective communication with both the engineering and product teams, ensuring alignment across functions.

  • Support global deployments of our solutions using Linux, Windows 10, TensorRT, and GIT.

What We Value

  • Collaboration: Working together as a cohesive team to innovate and achieve great things.

  • Excellence: Striving to deliver world-class technology solutions for sports officiating, coaching, and fan engagement.

  • Adaptability: Thriving in an agile environment with ever-evolving challenges.

  • Leadership: Mentoring and empowering team members to reach their full potential.

Tech Stack and Skill Requirements

Must-Have Skills:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related fields.

  • 3+ years of experience in machine learning, computer vision, or related fields.

  • Proficiency in Python and libraries such as PyTorch, PyTorch-Ignite, Numpy, Jupyter, and Pandas.

  • Familiarity with Linux, Windows 10, and version control systems like GIT.

  • Strong problem-solving and communication skills in an agile work environment.

Nice-to-Have Skills:

  • PhD in a related field.

  • Experience with modern C++ (C++17/20), CUDA, TensorRT, and tools like ClearML, CMake, OpenCV, and Visual Studio.

  • Familiarity with front-end development using TypeScript & Semantic UI React.

  • Knowledge of QT, TeamCity, JIRA & Kanban, and Confluence.

Hungary Benefits:

  • Annual Leave: Standard according to local labour law.

  • Flexible Working: Hybrid model (2 days in our office per week).

  • Exclusive Perks: Access to sporting events and tickets, Sony Group Company discounts.

  • Additional Benefits: Cafeteria options (SZÉP Card, Nursery & Kindergarten contributions, Annual MOL Bubi Pass), private medical insurance, life & accident insurance, MindentMent Dental Clinic discounts, seniority awards, and an Employee Assistance Program.

Ready to Make an Impact?

We’d love to hear from you! If you’re excited to help us redefine sports technology and join a dynamic, diverse team, apply now. Let’s create innovative solutions that change the way fans experience sports worldwide.

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About The Company

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Basingstoke, England, United Kingdom (Hybrid)

Atlanta, Georgia, United States (On-Site)

England, United Kingdom (On-Site)

Budapest, Hungary (On-Site)

Basingstoke, England, United Kingdom (Hybrid)

Basingstoke, England, United Kingdom (Hybrid)

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