Responsibilities : • Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio ... LLMs, speech recognition and understanding, and generative speech. • Highly proficient in ...
Responsibilities : • Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio ... LLMs, speech recognition and understanding, and generative speech. • Highly proficient in ...
Machine Learning Engineer, Siri Speech
$147K - $220K/yr
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 ...
Machine Learning Engineer, Siri Speech
$147K - $220K/yr
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 ...
Artificial Intelligence & Machine Learning Worker Type Reference: Regular - Permanent Pay Rate Type ... Experience with audio ML domains (speech enhancement, denoising, source separation, spatial audio ...
Artificial Intelligence & Machine Learning Worker Type Reference: Regular - Permanent Pay Rate Type ... Experience with audio ML domains (speech enhancement, denoising, source separation, spatial audio ...
Machine Learning Engineer
Washington, DC · On-site +1
$130K - $200K/yr
Design, train, evaluate, and deploy machine learning models across text, image, audio, and ... LLMs, text classification, information extraction, retrieval systems, speech-to-text, agentic ...
Machine Learning Engineer
Washington, DC · On-site +1
$130K - $200K/yr
Design, train, evaluate, and deploy machine learning models across text, image, audio, and ... LLMs, text classification, information extraction, retrieval systems, speech-to-text, agentic ...
Develop and optimize deep learning models for audio processing, including tasks like speech ... Desired Skills and Experience Deep learning, Machine learning, DSP, Python, PyTorch Benefits ...
Develop and optimize deep learning models for audio processing, including tasks like speech ... Desired Skills and Experience Deep learning, Machine learning, DSP, Python, PyTorch Benefits ...
... scale audio data processing on distributed systems Experience with prompt evaluation and ... Machine Learning journals or conferences Excellent communication skills and cross-functional ...
... scale audio data processing on distributed systems Experience with prompt evaluation and ... Machine Learning journals or conferences Excellent communication skills and cross-functional ...
$523K - $920K/yr
Responsibilities Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio ... Highly proficient in multimodal LLM and speech algorithm research, and deeply committed to staying ...
Machine Learning Manager - Localization Algorithms
$523K - $920K/yr
Responsibilities Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio ... Highly proficient in multimodal LLM and speech algorithm research, and deeply committed to staying ...
Machine Learning Manager - Localization Algorithms
$523K - $920K/yr
Responsibilities Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio ... Highly proficient in multimodal LLM and speech algorithm research, and deeply committed to staying ...
Responsibilities Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio ... Highly proficient in multimodal LLM and speech algorithm research, and deeply committed to staying ...
Responsibilities Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio ... Highly proficient in multimodal LLM and speech algorithm research, and deeply committed to staying ...
Senior Research Scientist
San Francisco, CA · On-site
$116K - $147K/yr
Deep expertise in audio and machine learning, including strong intuition for: * Speech and audio generation * Audio representations and modeling * Training large-scale neural models * Hands-on ...
Senior Research Scientist
San Francisco, CA · On-site
$116K - $147K/yr
Deep expertise in audio and machine learning, including strong intuition for: * Speech and audio generation * Audio representations and modeling * Training large-scale neural models * Hands-on ...
Work with Data Engineers to process large scale speech audio data for foundation model training ... in Computer Science, Machine Learning, Statistics, or other STEM field 5+ years of hands-on ...
Work with Data Engineers to process large scale speech audio data for foundation model training ... in Computer Science, Machine Learning, Statistics, or other STEM field 5+ years of hands-on ...
Machine Learning Engineer
Washington, DC · On-site
$130K - $200K/yr
Design, train, evaluate, and deploy machine learning models across text, image, audio, and ... LLMs, text classification, information extraction, retrieval systems, speech-to-text, agentic ...
Machine Learning Engineer
Washington, DC · On-site
$130K - $200K/yr
Design, train, evaluate, and deploy machine learning models across text, image, audio, and ... LLMs, text classification, information extraction, retrieval systems, speech-to-text, agentic ...
Fundamental research in the fields of signal processing and machine learning * Advanced use cases for human interaction that combine communication modalities from areas such as speech, audio ...
Fundamental research in the fields of signal processing and machine learning * Advanced use cases for human interaction that combine communication modalities from areas such as speech, audio ...
Machine Learning Engineer
Somerville, MA · On-site +1
$170K - $200K/yr
We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.) * Experience with ...
New
Quick apply
Machine Learning Engineer
Somerville, MA · On-site +1
$170K - $200K/yr
We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.) * Experience with ...
New
Research Engineer, Machine Learning Systems
San Francisco, CA · On-site +1
$150K - $250K/yr
Even if billions of hours of audio were accessible, its inherent high dimensionality creates ... speech technologies, internal tooling, and innovative data strategies. You'll work at the ...
Research Engineer, Machine Learning Systems
San Francisco, CA · On-site +1
$150K - $250K/yr
Even if billions of hours of audio were accessible, its inherent high dimensionality creates ... speech technologies, internal tooling, and innovative data strategies. You'll work at the ...
Machine Learning Engineer
Somerville, MA · On-site +1
$170K - $200K/yr
We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.) * Experience with ...
New
Machine Learning Engineer
Somerville, MA · On-site +1
$170K - $200K/yr
We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.) * Experience with ...
New
Sr. Machine Learning Scientist, Siri Speech
$181K - $318K/yr
You'll help us advance the state of the art in natural language processing, speech and audio ... machine learning training/evaluation Data-centric vision about foundation model Minimum ...
Sr. Machine Learning Scientist, Siri Speech
$181K - $318K/yr
You'll help us advance the state of the art in natural language processing, speech and audio ... machine learning training/evaluation Data-centric vision about foundation model Minimum ...
... for speech-to-text (STT) and text-to-speech (TTS). They are seeking a highly skilled Machine ... audio and text data. • Comfortable working in cross-functional teams that include researchers ...
... for speech-to-text (STT) and text-to-speech (TTS). They are seeking a highly skilled Machine ... audio and text data. • Comfortable working in cross-functional teams that include researchers ...
Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine ... audio and other unstructured data. • Collaborate with Product and Engineering teams to ensure ...
Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine ... audio and other unstructured data. • Collaborate with Product and Engineering teams to ensure ...
Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world industrial ... Process, clean, and structure large-scale audio/time-series datasets * Align data with ground truth ...
Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world industrial ... Process, clean, and structure large-scale audio/time-series datasets * Align data with ground truth ...
Audio Speech Machine Learning information
What are some common challenges faced when developing machine learning models for audio speech applications?
A key challenge in audio speech machine learning roles is dealing with diverse and noisy audio data, which can significantly affect model accuracy. Additionally, models must be robust to different accents, languages, and speaking styles, requiring large and varied datasets for training and validation. Collaboration with data engineers, linguists, and software developers is often necessary to ensure high-quality data pipelines and model integration into production systems. Staying updated with the latest research and optimizing models for real-time performance are also ongoing aspects of the role.
What is an Audio Speech Machine Learning Engineer?
An Audio Speech Machine Learning Engineer is a specialized professional who designs, develops, and implements machine learning models that process and analyze audio and speech data. Their work involves tasks like speech recognition, speaker identification, and audio event detection by leveraging algorithms and large datasets. These engineers collaborate with data scientists, software developers, and linguists to create applications such as voice assistants, transcription tools, and automated customer service systems. Expertise in signal processing, deep learning frameworks, and programming languages like Python is crucial for this role.
What is the difference between Audio Speech Machine Learning vs Speech Data Analyst?
| Aspect | Audio Speech Machine Learning | Speech Data Analyst |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related fields; knowledge of ML frameworks | Degree in Data Analysis, Statistics, or related fields; experience with data tools |
| Work Environment | Research labs, tech companies, AI startups | Data analysis teams, research institutions, tech firms |
| Industry Usage | Developing speech recognition, voice assistants, NLP applications | Analyzing speech datasets, improving speech models, reporting insights |
Audio Speech Machine Learning focuses on developing algorithms for speech recognition and processing, often involving model training and AI development. Speech Data Analysts interpret speech data, generate insights, and support model improvements. Both roles require strong analytical skills, but their core tasks differ: one builds models, the other analyzes data.
What are the key skills and qualifications needed to thrive as an Audio Speech Machine Learning Engineer, and why are they important?
To thrive as an Audio Speech Machine Learning Engineer, you need a solid background in machine learning, signal processing, and programming (typically Python), along with a relevant degree in computer science or a related field. Familiarity with tools like TensorFlow or PyTorch, audio processing libraries (such as Librosa), and experience with speech datasets and ASR systems are commonly required. Critical soft skills include problem-solving, innovation, and effective communication for collaborating with cross-functional teams. These skills are essential to develop accurate, scalable speech recognition systems that advance voice-driven technology.
More about Audio Speech Machine Learning jobs
What cities are hiring for Audio Speech Machine Learning jobs? Cities with the most Audio Speech Machine Learning job openings:
What states have the most Audio Speech Machine Learning jobs? States with the most job openings for Audio Speech Machine Learning jobs include:
What job categories do people searching Audio Speech Machine Learning jobs look for? The top searched job categories for Audio Speech Machine Learning jobs are:
Netflix rating
5.8
Based on 15 frontline employees who took The Breakroom Quiz
56th of 65 rated media
Job description
Job Summary:
Netflix is a company focused on entertaining the world through innovative storytelling and technology. They are seeking an experienced Machine Learning leader to manage a team dedicated to developing algorithms for localization, enhancing member experiences across diverse languages.
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.
Qualifications:
Required:
• 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.
Company:
Netflix is an online streaming platform that enables users to watch TV shows and movies. Founded in 1997, the company is headquartered in Los Gatos, USA, with a team of 10001+ employees. The company is currently Late Stage.
Netflix is a company focused on entertaining the world through innovative storytelling and technology. They are seeking an experienced Machine Learning leader to manage a team dedicated to developing algorithms for localization, enhancing member experiences across diverse languages.
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.
Qualifications:
Required:
• 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.
Company:
Netflix is an online streaming platform that enables users to watch TV shows and movies. Founded in 1997, the company is headquartered in Los Gatos, USA, with a team of 10001+ employees. The company is currently Late Stage.
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