What are the responsibilities and job description for the Senior ML Infrastructure Engineer - VE Algorithms position at Apple, Inc.?
Are you passionate about groundbreaking modeling technologies to enrich billions of people? We are the Video Engineering (VE) team at Apple developing cutting-edge video and machine learning algorithms to build the photo and video features that Apple devices are well known for. We are seeking engineers experienced in building infrastructure for training, adapting and deploying large-scale generative models. In this role, you will be working closely with a cross functional team of algorithm design and infrastructure engineers to benchmark, prototype and steer algorithmic choices to best fit our training and deployment infrastructure.
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.
BS in Electrical Engineering/Computer Science or a related field, with a focus on machine learning and minimum 3 years industry experience.\nExperience in training and adapting LLMs.\nAdvanced fluency in PyTorch.\nExcellent programming skills in Python or C and experience contributing software to large projects.\nExperience with distributed training of large models.
Strong Machine Learning fundamentals.\nExperience working with large cross-functional and diverse teams.
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.
BS in Electrical Engineering/Computer Science or a related field, with a focus on machine learning and minimum 3 years industry experience.\nExperience in training and adapting LLMs.\nAdvanced fluency in PyTorch.\nExcellent programming skills in Python or C and experience contributing software to large projects.\nExperience with distributed training of large models.
Strong Machine Learning fundamentals.\nExperience working with large cross-functional and diverse teams.