Netflix · 7 hours ago
Software Engineer 4/5– AI for Member Systems
United States
Full-time
Remote
Mid, Senior Level
$466K/yr - $750K/yr
4+ years expNetflix is a leading entertainment company focused on pushing the boundaries of storytelling and technology. They are looking for a passionate Software Engineer for Machine Learning to enhance their personalization systems and algorithms, collaborating with researchers and product managers to design, develop, and scale solutions for machine learning applications.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
Responsibilities
Apply expertise in software engineering to design, develop, and scale solutions for machine learning algorithms
Work closely with machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests
Drive the vision, requirements, design, implementation, testing, and ownership of software components essential for algorithmic innovation
Collaborate with applied researchers and data scientists to implement scalable, flexible, production-ready solutions for algorithms
Guide the team towards better software engineering practices and systems by identifying areas for improvement and mentorship
Collaborate with other engineers to create solutions that are used beyond the team
Qualification
Required
A degree in Computer Science or a related field
4+ years of full time software engineering experience with a bachelor's degree; or 2+ years of experience with a graduate degree
Excellent software design and development skills in Python along with Scala, Java, C++, or C#
Solid understanding of various software engineering best practices and their appropriate application
Experience building web-scale parallel and distributed computing systems
Experience with large-scale data frameworks such as Spark or Flink
Excellent collaboration skills
Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems
Preferred
Experience building or enhancing personalization systems, machine learning platforms, search engines, or similar large-scale machine learning applications
Experience building machine learning models or LLMs
Experience scaling and optimizing the training and serving of machine learning models
Experience with machine learning libraries TensorFlow, PyTorch, JAX or Keras
Experience with cloud computing platforms like AWS
Background in math, statistics, or numerical computation
Significant contributions to open-source projects
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.
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