Software Engineer 5 – Training Platform, AI Platform

🕒 July 15

🇺🇸 United States – Remote

💵 $466k - $750k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Design and build the platform that powers large-scale machine learning model training, fine-tuning, and evaluations workflows • Co-design and optimize systems and models to increase cost-effectiveness of training • Enable reliable and efficient training workflows for foundation and generative AI models • Diagnose and optimize performance of large distributed training jobs • Adopt and promote best practices in operations to ensure engineering excellence • Lead technical design reviews and facilitate cross-functional discussions

🎯 Requirements

• Deep expertise in distributed model training and systems required to operate it at scale • Strong technical depth • Sound engineering judgment • Ability to influence across teams • Excellent written and verbal communication skills • Experience with cloud computing providers, preferably AWS • Comfortable with ambiguity and working across multiple layers of the tech stack • Familiarity with cloud-based AI/ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI) • Familiarity with distributed training performance analysis tools and techniques (e.g., PyTorch Profiler) • Experience with large-scale distributed training and different parallelism techniques (such as FSDP and tensor/pipeline parallelism) • Expertise in the area of Generative AI, specifically in training foundation models

🏖️ Benefits

• Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off • Full-time salaried employees are immediately entitled to flexible time off