Remote Software Engineer L4/L5, Training Platform, Machine Learning Platform Job in United States Netflix

Who you are

• Experience in ML engineering on production systems dealing with training or inference of deep learning models
• Proven track record of building and operating large-scale infrastructure for machine learning use cases
• Experience with cloud computing providers, preferably AWS
• Comfortable with ambiguity and working across multiple layers of the tech stack to execute on both 0-to-1 and 1-to-100 projects
• Adopt and promote best practices in operations including observability, logging, reporting, and on-call processes to ensure engineering excellence
• Excellent written and verbal communication skills
• Comfortable working in a team with peers and partners distributed across (US) geographies and time zones

Desirables

• Understand modern and real-world Machine Learning model development workflows and experience partnering closely with ML modeling engineers
• Familiarity with cloud-based AI/ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI, etc.)
• Experience with large-scale distributed training and different parallelism techniques for scaling up training, such as FSDP and tensor/pipeline parallelism
• Expertise in the area of Generative AI, specifically when it comes to training foundation models, fine tuning them, and distilling them to smaller models

What the job involves

• Design and build the platform that powers large-scale machine learning model training, fine-tuning, model transformation and evaluations workflows and use cases from the entire company
• Co-design and optimize the systems and models to scale up and increase the cost-effectiveness of machine learning model training
• Design easy-to-use APIs and interfaces for experienced ML practitioners, as well as non-experts to easy access the training platform

Application process

• Job is open for no less than 7 days and will be removed when the position is filled.