Machine Learning Engineer
About Chyron
Chyron is a global leader in products, services, and solutions for professional broadcast. As part of the Chyron team, you will be working with products that create content viewed by billions every day. We serve live television, news, and sports production, as well as other markets such as corporate, government, house of worship, esports and education. We offer the industry leading PRIME Live Platform, encompassing broadcast grade graphics, branding, augmented reality, video and audio mixing and more. Privately held, Chyron is headquartered in Melville, New York. Chyron also has offices in the Czech Republic, Denmark, Finland, Germany, Mexico, the Netherlands, Norway, Singapore, Slovak Republic, Sweden, and the United Kingdom.
Machine Learning Engineer
Full time/part time
All experience levels
Responsibilities
- We are looking to hire a Machine Learning Engineer to work with our development teams in the Sports division.
- You will design and develop complex data-driven solutions to computer vision problems.
- Your will provide insights and you will identify practical ideas and approaches for production.
- You will conduct machine learning experiments and take care of the parts of ML life-cycle: data preparation and analysis, model design, model training and tuning, model evaluation and model deployment to production.
- You will use modern technology and frameworks and you will keep track of new research in the relevant fields: object tracking and detection, semantic segmentation, object re-identification...
Requirements
- Bachelor’s or Master’s degree in Computer science or Mathematics, or obtained a similar level through relevant work experience.
- Experience with machine learning, especially deep learning and neural networks.
- Experience with Python.
- Experience with PyTorch or Tensorflow.
- Familiarity with image processing, computer graphics or computer vision.
- English level of at least B2 is required to communicate with colleagues abroad.
Nice to have
- Experience with AWS cloud services, such as Sagemaker, EC2, S3, Lambda…
- Experience with C++ and object oriented programming.
- Experience with Docker, MlFlow, or Airflow.
What we offer
- Join a market leader in Broadcast and Sports production
- For students, there is an option to supervise Master’s theses on computer vision applications in Sports
- Flexible working hours and home office
- 5 weeks of vacation