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Netflix Software Engineer L4/L5 Training Platform Machine Learning United States, Oregon 835412821
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In this role you will get to:
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
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 & time zones.
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
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.
Job is open for no less than 7 days and will be removed when the position is filled.
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