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Day Shift Netflix Audio Jobs (NOW HIRING)

Netflix

OR · On-site

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... Optimize and integrate audio (ASR/TTS), language, and vision models to enable low-latency, cross ...

Netflix

OR · On-site

$388K - $558K/yr

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... Experience with low-latency, real-time audio and video (for example WebRTC or similar) is a plus.

Netflix

OR · On-site

$388K - $558K/yr

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... Experience with low-latency, real-time audio and video (for example WebRTC or similar) is a plus.

Netflix

OR · On-site

$250K - $413K/yr

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... The mission of Encoding Technologies is to deliver the best A/V experiences to our members and our ...

Netflix

OR · On-site

$250K - $413K/yr

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... The mission of Encoding Technologies is to deliver the best A/V experiences to our members and our ...

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Day Shift Netflix Audio information

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How much do day shift netflix audio jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for day shift netflix audio in the United States is $31.13, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $35.10 per hour, depending on experience, location, and employer.

What is the difference between Day Shift Netflix Audio vs Day Shift Video Editor?

AspectDay Shift Netflix AudioDay Shift Video Editor
CredentialsAudio engineering or editing certifications, relevant experienceVideo editing certifications, editing software proficiency
Work EnvironmentSound studios, post-production facilities, remote optionsEditing suites, post-production studios, remote work
Industry UsageAudio post-production for streaming contentVideo post-production for streaming content

Both roles involve post-production work for Netflix, but Day Shift Netflix Audio focuses on sound editing and mixing, while Day Shift Video Editor emphasizes visual editing. They share similar credentials and work environments, often collaborating in the post-production process to deliver high-quality streaming content.

What are the typical responsibilities and challenges of working as a Day Shift Netflix Audio Technician?

As a Day Shift Netflix Audio Technician, your primary responsibilities include monitoring and maintaining audio quality for streaming content, troubleshooting sound issues, and collaborating with engineers, editors, and producers to ensure seamless audio delivery. Common challenges involve meeting tight deadlines, adapting to evolving technical standards, and quickly resolving unexpected audio disruptions during live or scheduled releases. You'll often work in a collaborative, fast-paced environment, requiring strong communication skills and the ability to prioritize multiple tasks throughout your shift.

Can you really get paid to be a Netflix reviewer?

A Netflix reviewer role typically involves evaluating content for quality and providing feedback, but paid positions specifically titled as 'Netflix reviewer' are rare and often part of freelance or contract work. Most content evaluation jobs require strong analytical skills, familiarity with media, and sometimes experience in media critique or related fields.

What is a Day Shift Netflix Audio job?

A Day Shift Netflix Audio job typically refers to a position where an individual is responsible for monitoring, editing, or managing the audio quality and content for Netflix programming during the daytime shift. This role may involve tasks like ensuring audio compliance, performing quality control checks, or assisting in audio post-production. The job might be part of a larger team that works in shifts to maintain high-quality streaming audio for Netflix titles. Candidates often need experience with audio editing software and a keen ear for sound quality. Such positions are vital in ensuring viewers enjoy the best possible audio experience on the platform.

Will Netflix make a Day Shift 2?

There has been no official announcement about a Day Shift 2. Netflix typically evaluates the success of original content before greenlighting sequels, so future projects depend on the popularity and reception of the original. For those interested in roles like Day Shift Netflix Audio, staying updated on official Netflix news is recommended.

What are the key skills and qualifications needed to thrive as a Netflix Audio Engineer on the day shift, and why are they important?

To thrive as a Netflix Audio Engineer on the day shift, you need a solid background in audio engineering, sound design, and post-production, typically supported by a degree in audio production or related experience. Proficiency with digital audio workstations (DAWs) like Pro Tools, audio editing software, and familiarity with Netflix technical specifications is essential. Excellent communication, teamwork, and problem-solving skills help you collaborate effectively with creative teams and troubleshoot audio issues swiftly. These abilities are crucial for ensuring high-quality audio output that meets industry standards and enhances the viewer experience.

How difficult is it to get hired at Netflix?

Getting hired for a Day Shift Netflix Audio role typically requires relevant experience in audio editing or production, strong communication skills, and familiarity with audio software. The hiring process is competitive and often involves multiple interview stages, including technical assessments and skill demonstrations.

What is the 2 minute rule on Netflix?

The 2 minute rule on Netflix refers to a guideline used by content reviewers and editors to quickly assess whether a scene or clip should be kept or cut, based on its relevance or appropriateness. For a Day Shift Netflix Audio role, understanding such content review standards can be helpful when managing audio quality and ensuring compliance with content guidelines during editing or review processes.
What cities are hiring for Day Shift Netflix Audio jobs? Cities with the most Day Shift Netflix Audio job openings:
What states have the most Day Shift Netflix Audio jobs? States with the most job openings for Day Shift Netflix Audio jobs include:
Day Shift Netflix Audio jobs near you
Machine Learning Scientist (L4/L5) - Multi-modal Algorithms for Games

Machine Learning Scientist (L4/L5) - Multi-modal Algorithms for Games

Netflix

Los Gatos, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

57th of 65 rated media

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
The Team
The Studio Media Algorithms team is at the forefront of algorithmic innovation to enhance and support the creation of Netflix's entertainment content, including games. In this role, you will be embedded within this team while collaborating very closely with a specialized Games Studio R&D team. This incubation-style team is chartered to lead our investments in building new kinds of games leveraging emerging technologies to support our creators and reach player audiences in new ways.
The Role
We are seeking a Machine Learning Scientist to lead the research and development of Large Language Models (LLMs), Vision-Language Models (VLMs), and multi-modal foundations and solutions for games. This role is defined by a mandate for inference efficiency; you will not only build and fine-tune state-of-the-art models but also lead the algorithmic innovation required to make them viable in terms of cost, latency, and quality across a variety of cloud and edge devices.
You will work in close partnership with our Machine Learning Engineers to bridge the gap between "research-grade" models and high-performance deployment, with your focus being on algorithmic optimization-ensuring that our language, visual, and audio models are architecturally optimized for real-time interaction and efficiency.
Responsibilities
  • Model Adaptation & Alignment: Design and own the fine-tuning and alignment of LLMs and VLMs in PyTorch, leveraging modern preference learning and reinforcement learning to enhance reasoning, tool-use, and agentic workflows for interactive game systems.
  • Algorithmic Model Optimization: Lead efforts in model compression-specifically knowledge distillation, structural pruning, and architectural refinement-to create efficient variants of large models that meet strict latency, cost, and quality constraints.
  • Generative Visuals & Diffusion: Develop and optimize Diffusion-based models for Image, Video, and 3D generation, including distillation and efficiency techniques for viable game-time performance.
  • Pragmatic Model Integration: Strategically evaluate and integrate SOTA open-source and commercial models while building internal "layers," adapters, and enhancements to fill gaps in creative control.
  • Multi-modal Interaction: Optimize and integrate audio (ASR/TTS), language, and vision models to enable low-latency, cross-modal reasoning and interaction.

About You (Requirements)
  • Multi-modal Architecture Expertise: Strong foundation in deep learning architectures, with deep expertise in Transformers and Diffusion architectures powering LLMs, VLMs, and generative visuals, including their specific performance bottlenecks.
  • Optimization Specialist: Proven track record in algorithmic model optimization (e.g., distillation, quantization-aware training, or pruning) to reduce FLOPs and memory footprint.
  • Data-Centric Mindset: Skilled in data cleaning, curation, and the creation of synthetic data for complex evaluation and training pipelines.
  • Pragmatic Builder: Ability to prioritize impact by deciding when to use commercial APIs/OSS weights versus when to invest in proprietary R&D to solve efficiency or quality problems.
  • Programming: Expert proficiency in Python and deep learning frameworks (such as PyTorch); ability to collaborate with engineering on low-level performance constraints.

Bonus Experience
  • Prior experience optimizing models for heterogeneous hardware (Mobile, Cloud GPU, and custom edge devices).
  • Expertise in audio-visual multimodal models and video generation.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00.
Netflix provides comprehensive benefits including 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, and Life and Serious Injury Benefits. We also offer 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. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

What Netflix employees say

Pay

Hours and flexibility

Workplace

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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