Research Engineer L5 - Machine Learning Efficiency @ Netflix | Jobright.ai
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Netflix · 3 days ago

Research Engineer L5 - Machine Learning Efficiency

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Digital EntertainmentMedia and Entertainment
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Comp. & Benefits

Insider Connection @Netflix

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Aid applied research and product development by conceptualizing, designing, and implementing engineering improvements related to large-scale deep neural networks.
Utilize expertise in efficiency optimizations using techniques such as quantization, model pruning, distillation, compute-efficient finetuning, etc.
Demonstrate deep knowledge in ML hardware and software, along with solid software development skills.
Collaborate effectively with scientists and contribute to the advancement of state-of-the-art personalization and discovery experiences.

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.

Software engineeringTraining infrastructureStatistical methodsPythonJavaTensorflowPytorchHardware acceleratorsGpu-based optimizationsGraduate degreeProblem-solvingInterpersonal skillsCommunicationTechnical LeadershipNatural Language ProcessingKnowledge GraphsConversational AgentsSparkCloud ComputingDistributed SystemsApplied ResearchOpen Source ContributionsResearch PublicationsTeamwork

Required

5+ years of software engineering experience with a track record of delivering quality results.
Proven expertise in training and serving infrastructure for LLMs and other large foundation models.
Strong problem-solving skills with knowledge of statistical methods.
Strong software development experience in languages such as Python and Java.
Deep understanding of TensorFlow and/or PyTorch.
Familiarity with hardware and software accelerators and GPU-based optimizations
Great interpersonal skills.
Strong communication skills - written and verbal.
Graduate degree in Computer Science, Statistics, or a related field.

Preferred

Experience as a technical leader.
Experience working with cross-functional teams.
Experience in Search, Recommendations, Natural Language Processing, Knowledge Graphs, Conversational Agents, and Personalization.
Experience with Spark or other distributed computed platforms.
Experience with cloud computing platforms and large web-scale distributed systems.
Experience in applied research in industrial settings.
Open source contributions.
Research publications at peer-reviewed journals and conferences on relevant topics.

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
Trends of Total Sponsorships
2023 (146)
2022 (237)
2021 (290)
2020 (239)

Funding

Current Stage
Public Company
Total Funding
$5.01B
Key Investors
TCVGroupe ArnaultIVP
2018-05-05Post Ipo Debt· $2.67M
2018-04-24Post Ipo Debt· $1.9B
2018-02-28Post Ipo Debt· $1.9B

Leadership Team

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Gregory Peters
Co-Chief Executive Officer
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Reed Hastings
CEO
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Company data provided by crunchbase
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