Rapsodo

Provides data-driven performance analysis for athletes

Junior Computer Vision Engineer

Computer VisionConfirmed live in the last 24 hours

Full-timeAnkara, TürkiyeNo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Computer Science, Electrical Engineering, or a related field is required; a master's degree is preferred, with a focus on Computer Vision or Robotics.
Zero to two years of experience involving image processing or machine learning, including internships or academic projects.
Foundational knowledge of OpenCV and image processing primitives.
Strong proficiency in Python and intermediate or advanced proficiency in C/C++.
Understanding of 3D geometry and coordinate transformations.
Experience with deep learning frameworks such as PyTorch or TensorFlow.
Familiarity with data labeling tools such as CVAT or LabelImg, and version control with Git.
A detail-oriented approach to data quality and willingness to learn linear algebra and numerical optimization.

Responsibilities

Oversee and execute data annotation and labeling processes for image classification, segmentation, and 3D point cloud datasets.
Implement and refine techniques for 3D image blending and stitching to ensure seamless transitions in reconstructed environments.
Assist in training computer vision models, monitoring performance metrics, and performing hyperparameter tuning under the guidance of senior staff.
Support implementation of core algorithms in camera calibration, feature extraction, and image processing.
Test software modules and APIs to ensure the stability and accuracy of vision-based solutions.
Maintain documentation of data workflows, training experiments, and code implementations.

Junior Computer Vision Engineer

Rapsodo · Ankara, Turkey · — · Posted 2026-03-31

Workplace: on_site

Department: RDO

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 looking for team players who will contribute to deliver state-of-the-art solutions with us. We're looking for a Junior Computer Vision Engineer to join us!

Key Responsibilities

Oversee and execute high-quality data annotation and labeling processes for image classification, segmentation, and 3D point cloud datasets.
Implement and refine techniques for 3D image blending and stitching to ensure seamless transitions in reconstructed environments.
Assist in training computer vision models, monitoring performance metrics, and performing hyperparameter tuning under the guidance of senior staff.
Support the implementation of core algorithms in camera calibration, feature extraction, and image processing.
Conduct rigorous testing of software modules and APIs to ensure the stability and accuracy of vision-based solutions.
Maintain clear documentation of data workflows, training experiments, and code implementations.

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, or a related field (Master’s preferred) with a focus on Computer Vision or Robotics.
0–2 years of experience (internships or academic projects included) involving image processing or machine learning.
Foundational knowledge of OpenCV and image processing primitives.
Strong proficiency in Python (for scripting, data prep, and ML frameworks) and imtermediate/advenced with C/C++.
Understanding of 3D Geometry and coordinate transformations (relevant for 3D blending and calibration).
Experience with deep learning frameworks such as PyTorch or TensorFlow.
Familiarity with data labeling tools (e.g., CVAT, LabelImg) and version control (Git).
A detail-oriented approach to data quality and a strong desire to learn complex mathematical concepts like linear algebra and numerical optimization in a real-world context.

Apply

Apply at Rapsodo

About the Company

Rapsodo

Provides data-driven performance analysis for athletes

Rapsodo makes sensor-based performance measurement devices for golf, baseball, and softball, paired with data-driven software for athletes and coaches. The hardware uses doppler radar and cameras to measure metrics like ball speed, club speed, launch angle, distance, velocity, and spin rate, then streams data to mobile and web apps with video playback and shot tracing. It differentiates itself by combining multi-sport hardware with cloud and app analytics and a global presence, serving amateurs to professional teams and colleges. Its goal is to help athletes and coaches improve performance through precise data and actionable insights.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Singapore
Founded: 2010

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