Senior ML Infrastructure Engineer - VE Algorithms

In this role you will be technically hands on, with deep subject matter expertise in ML infrastructure, focusing on distributed and parallelized training of images and videos, and efficient utilization of training hardware. Minimum Qualifications BS in Electrical Engineering/Computer Science or a related field, with a focus on machine learning and minimum 3 years industry experience. Experience in training and adapting LLMs. Advanced fluency in PyTorch. Excellent programming skills in Python or C++ and experience contributing software to large projects. Experience with distributed training of large models. Preferred Qualifications Strong Machine Learning fundamentals. Experience working with large cross-functional and diverse teams.