Software Engineer V - Training Platform, AI Platform

Netflix

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$466,000–$750,000 / yr
Posted
59 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $608k
$69k most similar roles pay here $823k

This role pays more than 99% of similar roles. Most pay $151,000–$224,100 — the shaded band above. At the midpoint, this role pays about $608k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Netflix

Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media

Netflix currently has 28 open roles on FindRole.

Listed pay typically runs $440,000–$750,000 across 27 roles with salary data.

Most-posted roles

View all roles at Netflix

At a glance

TL;DR · Software Engineer V - Training Platform, AI Platform

Software Engineer 5 – Training Platform, AI Platform is a senior role focused on building and scaling infrastructure for large-scale machine learning model training, fine-tuning, and evaluation workflows. Working within the AI Platform team, you will design systems to improve performance and reliability for distributed training jobs while creating intuitive interfaces for both expert and non-expert practitioners. The core responsibilities involve optimizing GPU utilization, memory efficiency, and fault tolerance for foundation models and generative AI. You will utilize a technical stack including Kubernetes, Ray clusters, PyTorch distributed training primitives, and AWS cloud services. Key tasks include developing SDKs, managing infrastructure libraries, and implementing parallelism techniques like FSDP. The role addresses the critical challenge of creating scalable, cost-effective ML infrastructure to support core business functions such as personalized recommendations, studio algorithms, and content demand modeling.

What does a Software Engineer earn in Remote?

Median $204500 from 415 postings across 57 companies.

See salary data

What you'll do

  • Design and build infrastructure for large-scale machine learning model training, fine-tuning, and evaluation workflows.
  • Optimize distributed training systems to improve performance, reliability, and cost-effectiveness for large models.
  • Develop easy-to-use APIs and interfaces for both expert and non-expert ML practitioners.
  • Diagnose and optimize GPU utilization, memory efficiency, and communication overhead for distributed training jobs.
  • Build and maintain platform infrastructure, libraries, and SDKs to support foundation and generative AI models.
  • Implement observability, logging, and reporting systems to ensure engineering excellence and operational reliability.
  • Lead technical design reviews and facilitate cross-functional discussions to align stakeholders on platform direction.

What we're looking for

  • Design, build, and operate platform infrastructure, libraries, and SDKs for large-scale model training.
  • Enable reliable and efficient training workflows for foundation models and generative AI models of all sizes.
  • Diagnose and optimize performance for distributed training jobs including GPU utilization, memory efficiency, and fault tolerance.
  • Experience with cloud computing providers, preferably AWS.
  • Familiarity with PyTorch distributed training primitives, Kubernetes, and Ray clusters.
  • Knowledge of distributed training parallelism techniques such as FSDP and tensor/pipeline parallelism.
  • Familiarity with distributed training performance analysis tools like PyTorch Profiler or NVIDIA Nsight Systems.
  • Experience with Generative AI, specifically regarding training, fine-tuning, and distilling foundation models.

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