Machine Learning Engineer

✨

Company Description

Lorex Labs specializes in verification, validation, and value optimization for unique AI solutions. The company helps organizations build AI systems that outperform competitors by focusing on measurable impact and trustworthiness. Lorex Labs supports clients in accelerating development velocity and improving the reliability of machine learning models. By unlocking actionable insights, the company enables real-world performance gains across diverse AI applications.

🚀

About the role:

Ready to shape how people experience audio and video? At Lorex Labs, our Media Lab team is building the next generation of media tech, and we need your expertise in signal processing and machine learning to help us push the boundaries.

You won't just be maintaining systems here. You'll partner directly with our engineering crews to build robust validation frameworks, fine-tune ML models, and launch innovative products that make a real-world impact. If you're looking for a collaborative, diverse environment where your ideas matter and your career has plenty of room to grow, you're in the right place.

💻

Responsibilities:

• Evaluate machine learning models for real time audio/video processing.
• Train and optimize ML models.
• Conduct performance analysis and optimization of audio/video processing systems.
• Benchmark models against existing solutions and identify performance issues.
• Document model evaluations, and experimental results.
• Contribute to the development and maintenance of evaluation pipelines and dashboards.
• Contribute to the development of innovative products.

🎓

Required Qualifications:

• Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Background in audio and video signal processing and/or machine learning.
• Proficiency in coding with C\+\+ and/or Python.
• Strong technical skills and a willingness to learn new technologies.
• Excellent teamwork and communication abilities.
• Great problem-solving and analytical skills.
• Strong communication and collaboration skills.

💡

Preferred Qualifications:

• Experience in video and audio processing.
• Experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies.
• Experience with frameworks such as TensorFlow or PyTorch.
• Experience with dataset creation, augmentation, and management.