ZipRecruiter

Log In

2

Remote Audio Signal Processing Machine Learning Jobs in Los Angeles, CA

next page

Showing results 1-20

All JobsAudio Signal Processing Machine Learning JobsRemote Audio Signal Processing Machine Learning JobsRemote Audio Signal Processing Machine Learning Jobs in Los Angeles, CA

Remote Audio Signal Processing Machine Learning information

See Los Angeles, CA salary details

$31.8K

$91K

$184.8K

How much do remote audio signal processing machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote audio signal processing machine learning in Los Angeles, CA is $91,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,900.00 and $121,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Audio Signal Processing Machine Learning vs Remote Audio Engineering?

AspectRemote Audio Signal Processing Machine LearningRemote Audio Engineering
Required CredentialsKnowledge of machine learning, signal processing, programming (Python, MATLAB)Audio engineering certifications, audio production experience
Work EnvironmentResearch labs, tech companies, remote collaborationRecording studios, broadcast companies, remote or onsite
Industry UsageDeveloping algorithms for audio enhancement, noise reduction, speech recognitionMixing, mastering, live sound, audio content creation

Remote Audio Signal Processing Machine Learning focuses on developing algorithms using machine learning techniques to improve audio quality and analysis. In contrast, Remote Audio Engineering involves practical audio production, mixing, and recording tasks. Both roles require audio knowledge, but the former emphasizes programming and data science, while the latter centers on sound quality and production skills.

What are popular job titles related to Remote Audio Signal Processing Machine Learning jobs in Los Angeles, CA?

For Remote Audio Signal Processing Machine Learning jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Remote Audio Signal Processing Machine Learning jobs in Los Angeles, CA look for?

The top searched job categories for Remote Audio Signal Processing Machine Learning jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Remote Audio Signal Processing Machine Learning jobs?

Cities near Los Angeles, CA with the most Remote Audio Signal Processing Machine Learning job openings:

Remote Audio Signal Processing Machine Learning jobs near you

Machine Learning Manager - Localization Algorithms

Netflix

Los Angeles, CA • On-site, Remote

$523K - $920K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 17 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

72nd of 78 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 Localization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.
We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and Machine Learning Engineers working on multimodal LLM and audio algorithms. You will support a highly talented team in developing cutting-edge algorithms and systems, and collaborate closely with cross-functional partners to enhance localization experiences for Netflix members around the world.
Responsibilities
  • Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio algorithms to achieve Netflix's ambitious localization goals.
  • Mentor, support, and inspire a team of Research Scientists and Machine Learning Engineers, amplifying their impact and fostering their career growth.
  • Partner with technical leads on defining area strategy, planning and executing projects, and developing talent.
  • Set and operationalize a high bar for both execution speed and quality, while nurturing a culture of exceptional technical excellence.
  • Bring cutting-edge technical expertise and build deep domain knowledge to uncover new opportunities and make strategic bets.
  • Build strong relationships with cross-functional, cross-domain partners to shape long-term collaborations and shared visions.
  • Act as a functional leader and domain expert, representing the team's work and strengthening the team's internal and external brand.
  • Contribute to the growth and upskilling of the broader Machine Learning community at Netflix.

About you
  • Proven track record of successfully leading highly technical ML research and engineering teams in multimodal LLMs, speech recognition and understanding, and generative speech.
  • Highly proficient in multimodal LLM and speech algorithm research, and deeply committed to staying current with the latest technical developments; have led teams to launch and continuously improve production ML services.
  • Passionate about leading teams through ambiguous and complex technical and business challenges; focused on bringing clarity, structure, and effective execution.
  • Strong track record in mentoring and developing talent, with proven success recruiting researchers and engineers at multiple levels.
  • Master's or PhD in Machine Learning, Computer Science, or a closely related field.
  • 6+ years of hands-on ML experience (or 4+ years with a relevant PhD).
  • 2+ years of experience leading ML teams.
  • Exceptional verbal and written communication skills.
  • Deeply committed to delivering end-to-end business impact.
  • Netflix culture resonates with you.

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 $523,000.00 - $920,000.00. This compensation range will vary based on location.
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.
Job is open for no less than 7 days and will be removed when the position is filled.

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Netflix logo

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

View All Netflix Jobs

Apply