Deep Learning Engineer
Rapsodo Open · verified Oct 22, 2026 At a glance
Mid-level Machine Learning Engineering role at Rapsodo. Ankara · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Run deep-learning models through the full path from gathering data to putting them into use
- Improve the processes for collecting, labeling and annotating training data
- Train and tune models for detection, segmentation, keypoints and tracking
- Create synthetic training data with Blender and Python rendering workflows
- Build repeatable MLOps workflows, speed models for embedded devices and automate quality checks
What you bring
- A bachelor's degree in computer engineering, computer science, mathematics, electrical engineering or a related area
- Strong Python ability and practical work with PyTorch or TensorFlow
- A sound grasp of vision basics, including camera models and how images are formed
- Experience with Blender or another 3D rendering tool
Who this fits
This mid-level role suits an engineer focused on computer vision and deep learning, with work spanning model development, data workflows and embedded deployment. The position is onsite in Ankara, Turkey. English communication skills are required.
From the employer
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 Deep Learning Engineer to join our Computer Vision & Machine Learning team!
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 Deep Learning Engineer to join our Computer Vision & Machine Learning team!
Key Responsibilities
· Own the full deep learning model lifecycle, from data collection to deployment.
· Design and improve data collection, labeling, and annotation pipelines.
· Train, evaluate, and optimize detection, segmentation, keypoint, and tracking models.
· Develop synthetic datasets using Blender and Python-based rendering pipelines.
· Build and maintain reproducible MLOps pipelines, including experiment tracking and dataset versioning.
· Optimize models for deployment on embedded hardware.
· Define evaluation benchmarks and ensure model quality through automated testing.
· Collaborate with cross-functional teams to deliver production-ready AI solutions.
Qualifications
· Bachelor's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, or a related field.
· Strong Python skills with hands-on experience in PyTorch or TensorFlow.
· Good understanding of computer vision fundamentals, including camera models and image formation.
· Experience with Blender or other 3D rendering tools.
· Familiarity with Linux, Git, and Docker.
· Strong analytical and problem-solving skills with attention to data quality.
· Good communication skills in English.
· Personal projects, research, or open-source contributions are highly valued.
Nice to Have
· Experience with MLflow, Weights & Biases, DVC, ClearML, or Kubeflow.
· Experience deploying models with TensorRT, ONNX Runtime, or TensorFlow Lite.
· Knowledge of multi-object tracking or pose estimation.
· Experience with C++ for inference optimization.
· Interest in sports technologies.