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Full-time

Computer Vision Engineer – Player Tracking (m/f/d)

Munich/ Remote

Build the computer vision models that turn raw match video into precise player and ball tracking data.

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The Job Specification

Your Role in the Squad

You build the models that see the game. You develop and optimizedetection, tracking, and re-identification pipelines that turn raw matchvideo into precise player and ball positions — robust in production, fast enough for real time.
Detection, Tracking & Re-Identification Models+
Real-Time Inference Optimization+

You optimize deep learning models for production inference — quantization, batching, GPU utilization — so tracking output keeps up with live football.

Camera Calibration & Homography+
Training Data & Evaluation Pipelines+
Production Monitoring & Model Iteration+
  • Computer Vision
  • Deep Learning
  • PyTorch/ CUDA
  • Geometry & Calibration
  • Python/ C++
  • MLOps
  • Teamplay
Your Profile

Our Requirements

We are looking for a computer vision engineer who ships models into production, not just notebooks. Here is a breakdown of the core qualifications required for this position:

Must Haves

  • →3+ years of professional experience in computer vision or deep learning, with models running in production.
  • →CV: Strong track record with object detection, multi-object tracking, and re-identification architectures.
  • →Stack: Deep knowledge of PyTorch and the Python ecosystem; experience with CUDA-level optimization is a strong plus.
  • →Video: Experience processing large-scale video data, including camera calibration or homography estimation.

Nice to Haves

  • →You have published research, open-source work, or competition results in tracking or sports vision.
  • →You have excellent communication skills in English, thriving in a highly collaborative international team.
  • →Bonus Point: A genuine, intrinsic interest in football analytics, sports telemetry, or broadcast technology.
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Perfect Setup

Your UpgradesOn and Off the Pitch

Discover your benefits from working at GAMECODE.Ai.

  • Modern Working

    Flexibility & Work-Life Balance

  • Pick Your Own Tools

    State-of-the-Art Tech Stack

  • We Invest in Your Future

    Personal Development & Growth

  • Culture & Community

    Team and Company Culture

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Final Warm-Up

Your Scouting Report

Fill out the fields below, answer our two-question "warm-up" so we know you are ready for the pitch, and secure your spot in our selection process.

Let's change the future of sports intelligence together.

1. General Information
2. Baseline-Check

A quick sanity check for our vision squad:Two players cross paths and their tracks swap identities. Which technique is designed to fix this?

3. Game Passion
The Timeline for

The Selection Process

Fast, transparent, and respectful of your time.From your initial transfer request to the final whistle,our entire process typically takes 2 to 3 weeks.

  1. 01

    ApplicationReview

    We review your profile, CV, GitHub, and LinkedIn to understand your technical strengths. If your skills match our requirements, we invite you to the first round.

  2. 02

    IntroductoryCall

  3. 03

    TechnicalDeep Dive

  4. 04

    FinalConversation

Show Open Positions

Is this opening notthe right fit yet?

If this specific role does not match your profile, do not worry. We are constantly expanding our squad and looking for exceptional talent across all departments. Take a look at our other vacancies or send us a spontaneous application.

Other open positionsSpontaneous Application
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