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Computer Vision Engineer - Tooling & Visualization (Part-Time)

Rapsodo

Çankaya

On-site

USD 25,000 - 45,000

Full time

26 days ago

Job summary

A leading sports technology company is looking for a Computer Vision Engineer to develop internal tools and visual interfaces for their vision-based systems. The role involves designing tools within Unity, optimizing workflows, and ensuring effective integration of perception data into development environments, contributing to the overall enhancement of internal infrastructure.

Qualifications

  • Strong programming skills in C# and/or C++ with Unity Editor scripting experience.
  • Solid foundation in data structures, algorithms, and software architecture.
  • Experience in building software tools or internal developer interfaces.

Responsibilities

  • Design and implement Unity Editor tools for data inspection and interaction.
  • Develop modular components for visualization and debugging of computer vision algorithms.
  • Optimize tools for usability, responsiveness, and maintainability.

Skills

C#
C++
Data Structures
Algorithms
Software Architecture
Computer Vision

Education

Bachelor’s or Master’s degree in Computer Science
Bachelor’s or Master’s degree in Engineering

Tools

Unity Editor
Python

Job description

Rapsodo is a sports technology company that designs computer vision and machine learning products to help athletes maximize their performance. With offices strategically located in Singapore, Turkey, the USA, Japan, and the UK. Rapsodo is the undisputed leader in sports technology. Current partners include all 30 MLB teams, MLB, USA Baseball, Golf Digest, PGA of America, and over 1000 NCAA athletic departments.

Opened in 2018, our Turkey office operates as the R&D arm of Rapsodo. We have offices located in Bayraklı & Technopark in the Izmir Ege University, recognized by the Ministry of Science, Industry and Technology as one of Turkey’s most successful Technoparks. Our offices incorporate UI/UX, Mobile, Cloud Technologies along with Computer Vision, Deep Learning, Data Science and Unity teams. Rapsodo is rapidly growing, and we are seeking a Computer Vision Engineer with strong software engineering skills to develop internal tools and visual interfaces that support our vision-based systems. This role focuses on building Unity Editor tools, visualizing algorithm outputs, and supporting the integration of perception pipelines into development workflows. You will work closely with platform, algorithm, and tooling teams — bridging the gap between research prototypes and scalable software infrastructure.

Key Responsibilities

  • Design and implement Unity Editor tools for inspecting and interacting with vision-related data and outputs.
  • Develop modular components to support the visualization and debugging of computer vision algorithms.
  • Work across teams to ensure efficient integration of perception data into development environments.
  • Optimize tools and workflows for usability, responsiveness, and maintainability.
  • Contribute to internal infrastructure that enables evaluation and deployment of computer vision features.
  • Write clean, efficient, and well-documented code with a focus on practical engineering impact.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Strong programming skills in C# and/or C++; experience with Unity Editor scripting is a plus.
  • Solid foundation in data structures, algorithms, and software architecture.
  • Exposure to computer vision concepts such as image processing, detection, or tracking.
  • Experience building software tools or internal developer interfaces.
  • Comfortable working in cross-functional teams and collaborating on complex systems.

Nice to Have

  • Working knowledge of Python, especially for scripting or data prototyping.
  • Basic understanding of deep learning workflows (e.g., PyTorch, TensorFlow).
  • Familiarity with integrating perception systems or visualizing structured outputs (e.g., poses, masks, keypoints).
  • Experience in performance profiling, editor UX design, or data interoperability.
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