Netflix · 9 hours ago
Software Engineer 5 - Offline Inference, Machine Learning Platform
United States
Full-time
Remote
Senior Level
$466K/yr - $750K/yrNetflix is a leading entertainment company focused on pushing the boundaries of storytelling through technology. They are seeking a talented Software Engineer to join their Offline Inference team, responsible for designing and operating systems for large-scale batch inference workloads to support machine learning practitioners across the company.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
Responsibilities
Build developer-friendly APIs, SDKs, and CLIs that let researchers and engineers—experts and non-experts alike—submit and manage batch inference jobs with minimal effort, particularly in the domain of content and media
Design, implement, and operate distributed services that package, schedule, execute, and monitor batch inference workflows at massive scale
Instrument the platform for reliability, debuggability, observability, and cost control; define SLOs and share an equitable on-call rotation
Foster a culture of engineering excellence through design reviews, mentorship, and candid, constructive feedback
Qualification
Required
Hands-on experience with ML engineering or production systems involving training or inference of deep-learning models
Proven track record of operating scalable infrastructure for ML workloads (batch or online)
Proficiency in one or more modern backend languages (e.g. Python, Java, Scala)
Production experience with containerization & orchestration (Docker, Kubernetes, ECS, etc.) and at least one major cloud provider (AWS preferred)
Comfortable with ambiguity and working across multiple layers of the tech stack to execute on both 0-to-1 and 1-to-100 projects
Commitment to operational best practices—observability, logging, incident response, and on-call excellence
Excellent written and verbal communication skills; effective collaboration across distributed teams and time zones
Comfortable working in a team with peers and partners distributed across (US) geographies & time zones
Preferred
Deep understanding of real-world ML development workflows and close partnership with ML researchers or modeling engineers
Familiarity with cloud-based AI/ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI, Vertex) or open-source stacks (Ray, Kubeflow, MLflow)
Experience optimizing inference for large language models, computer-vision pipelines, or other foundation models (e.g., FSDP, tensor/pipeline parallelism, quantization, distillation)
Open-source contributions, patents, or public speaking/blogging on ML-infrastructure topics
Benefits
Health Plans
Mental Health support
A 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
Company
Netflix
Netflix is an online streaming platform that enables users to watch TV shows and movies.
Founded in 1997
10001+ employees
H1B Sponsorship
Netflix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (310)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)
Funding
Current Stage
Public CompanyTotal Funding
$72.11BKey Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $67.2B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M
Leadership Team
Gregory Peters
Co-CEO
Ted Sarandos
Co-CEO
Recent News
The Business Journal
2026-01-25
The Motley Fool
2026-01-25
2026-01-25
Company data provided by crunchbase