AI/ML Research Scientist, Edge AI

Develop, train, validate, and optimize machine learning models specifically for edge AI deployment and production environments.

Design, develop, test, and maintain scalable ML pipelines and collaborate with CI/CD teams for seamless model deployment.

Monitor and update deployed models to maintain performance and adapt to changing data or requirements.

Bachelor's degree (or equivalent experience) in Computer Science, Statistics, Mathematics, Data Science, or related discipline.

4-7 years of relevant work experience in machine learning, algorithms, or related field (or advanced degree with 3-5 years).

Strong skills in ML frameworks and programming languages including Python, C++, PyTorch, scikit-learn, CUDA, and Triton.

Experience in developing and deploying ML models for production edge AI environments.

Experienced in end-to-end machine learning lifecycle including model training, hyperparameter tuning, deployment, and maintenance in edge AI contexts.

Able to lead or direct team activities related to ML projects and collaborate effectively across research, engineering, and CI/CD teams.

Skilled in kernel programming and performance optimization using CUDA, Triton, and related tools for scalable, efficient model deployment.