Machine Learning Software Engineer L4/L5, Algorithms @ Netflix | Jobright.ai
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Netflix · 12 hours ago

Machine Learning Software Engineer L4/L5, Algorithms

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Digital EntertainmentMedia and Entertainment
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H1B Sponsor Likelynote

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Responsibilities

Apply your expertise in software engineering to design, develop, and scale solutions for the machine learning algorithms that power the Netflix experience.
Work closely with our 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.
Contribute to the next generation of algorithms used to generate the Netflix experience by driving the vision, requirements, design, implementation, testing, and ownership of software components essential for our algorithmic innovation.
Collaborate with our applied researchers and data scientists to implement scalable, flexible, production-ready solutions for our 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 our team.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonMachine LearningScalaJavaC++C#Distributed ComputingSparkFlinkMachine Learning LibrariesTensorFlowPyTorchAWSJAXKerasStatisticsNumerical ComputationOpen-source ContributionsCollaboration Skills

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
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

Company

Netflix is an online streaming platform that enables users to watch TV shows and movies.

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
2023 (146)
2022 (237)
2021 (290)
2020 (239)

Funding

Current Stage
Public Company
Total Funding
$4.91B
Key Investors
TCVGroupe ArnaultIVP
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M
2018-04-24Post Ipo Debt· $1.9B

Leadership Team

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Gregory Peters
Co-CEO
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Ted Sarandos
Co-CEO
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Company data provided by crunchbase
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