We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and ... Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio algorithms to achieve ...
We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and ... Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio algorithms to achieve ...
Senior Machine Learning Engineer
San Francisco, CA · On-site
$123K - $169K/yr
Senior Machine Learning Engineer About the Company We are a rapidly scaling, post-revenue ... Construct audio analysis and processing pipelines . * Establish and enhance our MLOps ...
Senior Machine Learning Engineer
San Francisco, CA · On-site
$123K - $169K/yr
Senior Machine Learning Engineer About the Company We are a rapidly scaling, post-revenue ... Construct audio analysis and processing pipelines . * Establish and enhance our MLOps ...
... machine learning and deep learning models, including foundation models and multimodal systems ... Familiarity with multimodal models (such as image + text or video + audio) and their evaluation ...
... machine learning and deep learning models, including foundation models and multimodal systems ... Familiarity with multimodal models (such as image + text or video + audio) and their evaluation ...
Mid-Level Machine Learning Engineer
San Jose, CA · On-site
$110K - $200K/yr
Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing. * Implement and optimize ML models on embedded platforms, including FPGA ...
Mid-Level Machine Learning Engineer
San Jose, CA · On-site
$110K - $200K/yr
Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing. * Implement and optimize ML models on embedded platforms, including FPGA ...
Mid-Level Machine Learning Engineer
San Jose, CA · On-site
$110K - $200K/yr
Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing. * Implement and optimize ML models on embedded platforms, including FPGA ...
Mid-Level Machine Learning Engineer
San Jose, CA · On-site
$110K - $200K/yr
Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing. * Implement and optimize ML models on embedded platforms, including FPGA ...
Machine Learning Architect - Conversational Speech
$257K - $386K/yr
We are seeking a Machine Learning Architect to serve as a senior technical leader spanning the full ... speaker modeling, audio understanding-and an ability to reason about their interactions and ...
Machine Learning Architect - Conversational Speech
$257K - $386K/yr
We are seeking a Machine Learning Architect to serve as a senior technical leader spanning the full ... speaker modeling, audio understanding-and an ability to reason about their interactions and ...
Our team develops cutting-edge machine learning technologies and systems that power intelligent, interactive video experiences across Apple's products - including Photos, Camera, Spotlight, FaceTime ...
Our team develops cutting-edge machine learning technologies and systems that power intelligent, interactive video experiences across Apple's products - including Photos, Camera, Spotlight, FaceTime ...
We are seeking a passionate and innovative machine learning engineer to join a team that is shaping the future of video intelligence. Our team develops cutting-edge machine learning technologies and ...
We are seeking a passionate and innovative machine learning engineer to join a team that is shaping the future of video intelligence. Our team develops cutting-edge machine learning technologies and ...
Machine Learning Manager - Localization Algorithms
Los Angeles, CA · On-site +1
$523K - $920K/yr
We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and ... Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio algorithms to achieve ...
Machine Learning Manager - Localization Algorithms
Los Angeles, CA · On-site +1
$523K - $920K/yr
We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and ... Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio algorithms to achieve ...
Good knowledge in machine learning technologies related to speech and audio processing; experience with image processing is a plus. Strong problem-solving skills and ability to work independently as ...
Good knowledge in machine learning technologies related to speech and audio processing; experience with image processing is a plus. Strong problem-solving skills and ability to work independently as ...
Lead Machine Learning Engineer, Ads Research
$115K - $151K/yr
Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning ...
Lead Machine Learning Engineer, Ads Research
$115K - $151K/yr
Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning ...
Lead Machine Learning Engineer, Ads Research
$108K - $143K/yr
Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning ...
Lead Machine Learning Engineer, Ads Research
$108K - $143K/yr
Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning ...
Founding Machine Learning Engineer
San Francisco, CA · On-site
$225K - $275K/yr
Critically evaluate and implement the best machine learning approaches for our unique design ... Agility working with multimodal data (e.g., imaging + time series, text + audio) * Proven ability ...
Founding Machine Learning Engineer
San Francisco, CA · On-site
$225K - $275K/yr
Critically evaluate and implement the best machine learning approaches for our unique design ... Agility working with multimodal data (e.g., imaging + time series, text + audio) * Proven ability ...
The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning ... This includes working across the full ML pipeline-from pre-training on large-scale unlabeled audio ...
The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning ... This includes working across the full ML pipeline-from pre-training on large-scale unlabeled audio ...
The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning ... This includes working across the full ML pipeline-from pre-training on large-scale unlabeled audio ...
The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning ... This includes working across the full ML pipeline-from pre-training on large-scale unlabeled audio ...
The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning ... This includes working across the full ML pipeline-from pre-training on large-scale unlabeled audio ...
The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning ... This includes working across the full ML pipeline-from pre-training on large-scale unlabeled audio ...
The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning ... This includes working across the full ML pipeline-from pre-training on large-scale unlabeled audio ...
The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning ... This includes working across the full ML pipeline-from pre-training on large-scale unlabeled audio ...
Senior Machine Learning Engineer
San Jose, CA · On-site
$200K - $280K/yr
Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing. * Implement and optimize ML models on embedded platforms, including FPGA ...
Senior Machine Learning Engineer
San Jose, CA · On-site
$200K - $280K/yr
Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing. * Implement and optimize ML models on embedded platforms, including FPGA ...
Machine Learning Engineer - LLM
$147K - $220K/yr
Description We are seeking a highly capable and dynamic Machine Learning Engineer to work cross-functional in building out a GenAI system in support of Beats and Apple Audio products. The ideal ...
Machine Learning Engineer - LLM
$147K - $220K/yr
Description We are seeking a highly capable and dynamic Machine Learning Engineer to work cross-functional in building out a GenAI system in support of Beats and Apple Audio products. The ideal ...
Senior Machine Learning Engineer
San Jose, CA · On-site
$200K - $280K/yr
Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing. * Implement and optimize ML models on embedded platforms, including FPGA ...
Senior Machine Learning Engineer
San Jose, CA · On-site
$200K - $280K/yr
Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing. * Implement and optimize ML models on embedded platforms, including FPGA ...
Audio Machine Learning information
See California salary details
$29.1K - $41.9K
16% of jobs
$47.7K is the 25th percentile. Wages below this are outliers.
$41.9K - $54.6K
19% of jobs
$54.6K - $67.3K
13% of jobs
The median wage is $68.8K / yr.
$67.3K - $80.1K
14% of jobs
$80.1K - $92.8K
10% of jobs
$98.7K is the 75th percentile. Wages above this are outliers.
$92.8K - $105.6K
6% of jobs
$105.6K - $118.3K
4% of jobs
$118.3K - $131K
5% of jobs
$131K - $143.8K
4% of jobs
$143.8K - $156.5K
8% of jobs
$156.5K - $169.3K
0% of jobs
$29.1K
$83.3K
$169.3K
How much do audio machine learning jobs pay per year?
What are the key skills and qualifications needed to thrive in the Audio Machine Learning position, and why are they important?
To thrive in Audio Machine Learning, you need a strong background in machine learning, digital signal processing, and proficiency with programming languages such as Python or MATLAB, typically supported by a relevant degree in computer science, electrical engineering, or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with audio libraries (e.g., Librosa), and knowledge of cloud computing tools are highly valued, as are certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication are essential soft skills for success in this field. These skills are crucial for developing innovative solutions, collaborating across multidisciplinary teams, and addressing complex audio data challenges in real-world projects.
Will MLE be replaced by AI?
What are the typical daily responsibilities of someone working in Audio Machine Learning?
Professionals in Audio Machine Learning typically spend their days designing, developing, and optimizing machine learning models tailored to audio data, such as speech or music recognition systems. You may also preprocess large datasets, extract and engineer relevant features, and collaborate closely with data scientists, audio engineers, and software developers to integrate your work into larger applications. Regular tasks often include running experiments, evaluating model performance, tuning hyperparameters, and keeping up with the latest advancements in the field. Team meetings, code reviews, and presenting findings to stakeholders are also common parts of the workweek.
What is an Audio Machine Learning job?
An Audio Machine Learning job involves developing algorithms and models that analyze, process, and generate audio data. Responsibilities typically include working with speech recognition, music analysis, sound classification, and audio enhancement. Professionals in this field use deep learning, signal processing, and neural networks to improve audio-based applications like voice assistants, noise reduction systems, and music recommendation engines. They often work with datasets of speech, music, or environmental sounds to build models that understand and manipulate audio signals effectively.
Which 5 jobs will survive AI?
What engineer makes $500,000 a year?
Do audio engineers get paid well?

$523K - $920K/yr
Full-time
Medical, Life, Retirement, PTO
Posted 24 days ago
Netflix rating
5.8
Based on 15 frontline employees who took The Breakroom Quiz
59th of 67 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 cuttingedge algorithms and systems, and collaborate closely with crossfunctional partners to enhance localization experiences for Netflix members around the world.
ResponsibilitiesLead 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.
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.
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.
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