Design and implement scalable systems for serving deep learning and reinforcement learning models.
Optimize inference performance of deep learning and reinforcement learning models using techniques such as quantization, pruning, and distillation.
Utilize GPU computing to accelerate model training and inference.
Develop and deploy production workflows for training and serving machine learning models.
Collaborate with data scientists and software engineers to design and implement machine learning systems.
Monitor and improve the performance of machine learning models in production.
Stay up-to-date with the latest research and techniques in deep learning and reinforcement learning.

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
3+ years of experience in software engineering or machine learning engineering.
Strong programming skills in Python (C++ or Java a plus)
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Experience with GPU programming using CUDA, OpenCL, or similar libraries.
Experience with distributed systems and cloud computing platforms such as Kubernetes, Docker, GCP, and AWS.

Machine Learning Engineer

Key skills