... machine learning inference systems. • Proficiency with programming languages such as C++ and Python. • Hands-on experience with deep learning models for audio, speech, or language applications ...
... machine learning inference systems. • Proficiency with programming languages such as C++ and Python. • Hands-on experience with deep learning models for audio, speech, or language applications ...
As a Research Engineer - Audio & Speech Models , you will be a core contributor on Zyphra's Audio ... Previously published machine learning research in well-respected venues * Postgraduate degree in a ...
As a Research Engineer - Audio & Speech Models , you will be a core contributor on Zyphra's Audio ... Previously published machine learning research in well-respected venues * Postgraduate degree in a ...
Audio Inference Engineer, Model Efficiency
Manhattan, NY · On-site
$120 - $150/hr
... audio or machine learning inference systems. * Proficiency with programming languages such as C++ and Python. * Hands-on experience with deep learning models for audio, speech, or language ...
Audio Inference Engineer, Model Efficiency
Manhattan, NY · On-site
$120 - $150/hr
... audio or machine learning inference systems. * Proficiency with programming languages such as C++ and Python. * Hands-on experience with deep learning models for audio, speech, or language ...
As a Research Engineer - Audio & Speech Models , you will be a core contributor on Zyphra's Audio ... Previously published machine learning research in well-respected venues * Postgraduate degree in a ...
Quick apply
As a Research Engineer - Audio & Speech Models , you will be a core contributor on Zyphra's Audio ... Previously published machine learning research in well-respected venues * Postgraduate degree in a ...
Audio Inference Engineer, Model Efficiency
Manhattan, NY · On-site
$140 - $190/hr
... audio or machine learning inference systems. * Proficiency with programming languages such as C++ and Python. * Hands-on experience with deep learning models for audio, speech, or language ...
Audio Inference Engineer, Model Efficiency
Manhattan, NY · On-site
$140 - $190/hr
... audio or machine learning inference systems. * Proficiency with programming languages such as C++ and Python. * Hands-on experience with deep learning models for audio, speech, or language ...
$150 - $200/hr
Have a strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing. * Have experience developing specialized machine learning models, larger multimodal ...
$150 - $200/hr
Have a strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing. * Have experience developing specialized machine learning models, larger multimodal ...
Machine Learning Engineer, Multimodal Perception and Authentication
San Francisco, CA · On-site
$150 - $200/hr
Have a strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing. * Have experience developing specialized machine learning models, larger multimodal ...
Machine Learning Engineer, Multimodal Perception and Authentication
San Francisco, CA · On-site
$150 - $200/hr
Have a strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing. * Have experience developing specialized machine learning models, larger multimodal ...
... audio or machine learning inference systems. * Proficiency with programming languages such as C++ and Python. * Hands-on experience with deep learning models for audio, speech, or language ...
... audio or machine learning inference systems. * Proficiency with programming languages such as C++ and Python. * Hands-on experience with deep learning models for audio, speech, or language ...
Machine Learning Researcher, Audio
San Francisco, CA · On-site
$140K - $250K/yr
Machine Learning Researcher, Audio Location: San Francisco, CA or Remote About Bland At Bland.com ... Design and train large scale text-to-speech models capable of expressive, controllable, human ...
Machine Learning Researcher, Audio
San Francisco, CA · On-site
$140K - $250K/yr
Machine Learning Researcher, Audio Location: San Francisco, CA or Remote About Bland At Bland.com ... Design and train large scale text-to-speech models capable of expressive, controllable, human ...
AI driven audio enhancement, processing, and generation (for speech and music), such as speech ... Deep knowledge on current machine learning literature. * Strong publication record, with ...
AI driven audio enhancement, processing, and generation (for speech and music), such as speech ... Deep knowledge on current machine learning literature. * Strong publication record, with ...
AI driven audio enhancement, processing, and generation (for speech and music), such as speech ... Deep knowledge on current machine learning literature. * Strong publication record, with ...
AI driven audio enhancement, processing, and generation (for speech and music), such as speech ... Deep knowledge on current machine learning literature. * Strong publication record, with ...
We are seeking a Machine Learning Architect to serve as a senior technical leader spanning the full ... audio, and text modalities. Direct experience building speech-to-speech conversational systems ...
We are seeking a Machine Learning Architect to serve as a senior technical leader spanning the full ... audio, and text modalities. Direct experience building speech-to-speech conversational systems ...
The Audio ML Engineer (Research) will develop machine learning models to enhance Intelligent Audio ... Preferred : • Experience with audio ML domains (speech enhancement, denoising, source separation ...
The Audio ML Engineer (Research) will develop machine learning models to enhance Intelligent Audio ... Preferred : • Experience with audio ML domains (speech enhancement, denoising, source separation ...
Machine Learning Architect - Conversational Speech
Cupertino, CA · On-site
$262K - $394K/yr
... Machine Learning Architect to serve as a senior technical leader spanning the full Speech ... speaker modeling, audio understanding-and an ability to reason about their interactions and ...
Machine Learning Architect - Conversational Speech
Cupertino, CA · On-site
$262K - $394K/yr
... Machine Learning Architect to serve as a senior technical leader spanning the full Speech ... speaker modeling, audio understanding-and an ability to reason about their interactions and ...
Principal Machine Learning Engineer, Content Engineering
Manhattan, NY · On-site
$233K - $350K/yr
Principal Machine Learning Engineer, Content Engineering (45445) Overview: We are seeking a Senior ... Design and deploy models that synthesize signals across video (pixels), audio (speech/music), and ...
Principal Machine Learning Engineer, Content Engineering
Manhattan, NY · On-site
$233K - $350K/yr
Principal Machine Learning Engineer, Content Engineering (45445) Overview: We are seeking a Senior ... Design and deploy models that synthesize signals across video (pixels), audio (speech/music), and ...
Principal Machine Learning Engineer, Content Engineering
Manhattan, NY · On-site
$233K - $350K/yr
Principal Machine Learning Engineer, Content Engineering (45445) Overview: We are seeking a Senior ... Design and deploy models that synthesize signals across video (pixels), audio (speech/music), and ...
Principal Machine Learning Engineer, Content Engineering
Manhattan, NY · On-site
$233K - $350K/yr
Principal Machine Learning Engineer, Content Engineering (45445) Overview: We are seeking a Senior ... Design and deploy models that synthesize signals across video (pixels), audio (speech/music), and ...
... speech-audio modeling) and dataset optimization for model training. • Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks ...
... speech-audio modeling) and dataset optimization for model training. • Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks ...
... speech-audio modeling) and dataset optimization for model training. • Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks ...
... speech-audio modeling) and dataset optimization for model training. • Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks ...
Coursework in machine learning, computer vision, control systems, and time series modeling. Strong ... Image Processing/Computer Vision, ADAS, Anomaly Detection, Audio/Speech Processing, Automatic ...
Coursework in machine learning, computer vision, control systems, and time series modeling. Strong ... Image Processing/Computer Vision, ADAS, Anomaly Detection, Audio/Speech Processing, Automatic ...
Machine Learning Engineer, Multimodal Perception and Authentication
San Francisco, CA · On-site
$150 - $230/hr
Have a strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing. * Have experience developing specialized machine learning models, larger multimodal ...
New
Machine Learning Engineer, Multimodal Perception and Authentication
San Francisco, CA · On-site
$150 - $230/hr
Have a strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing. * Have experience developing specialized machine learning models, larger multimodal ...
New
Audio Speech Machine Learning information
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 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 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.
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.
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:
Audio Inference Engineer, Model Efficiency
Remote
Cohere
Full-time
This job post has expired 2 days ago. Applications are no longer accepted.
Job description
Job Summary:
Cohere is a company focused on scaling intelligence to serve humanity through advanced AI systems. The Audio Inference Engineer will work on optimizing audio inference serving efficiency and advancing core audio model serving metrics while collaborating with training and serving infrastructure teams.
Responsibilities:
• Build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques.
• Advance core audio model serving metrics, including latency, throughput, and quality by diving deep into systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads.
• Collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment, with a special focus on real-time and streaming audio inference.
Qualifications:
Required:
• Significant experience developing high-performance audio or machine learning inference systems.
• Proficiency with programming languages such as C++ and Python.
• Hands-on experience with deep learning models for audio, speech, or language applications.
• A bias for action and a strong results-oriented mindset.
Preferred:
• GPU programming, low-level system optimization, model parallelization techniques over multiple GPUs
• Experience with duplex real-time streaming architectures.
• Internals of machine learning frameworks for audio (such as PyTorch, TensorFlow, or specialized audio libraries).
• Experience with inference framework like vLLM, SGLang, Tensort-LLM, or custom distributed inference systems
• Sequence modeling (e.g., transformers for audio/speech) and end-to-end audio pipeline optimization
Company:
Cohere develops enterprise artificial intelligence software and provides language models, retrieval tools, and workplace platforms. Founded in 2019, the company is headquartered in Toronto, CAN, with a team of 201-500 employees. The company is currently Growth Stage.
Cohere is a company focused on scaling intelligence to serve humanity through advanced AI systems. The Audio Inference Engineer will work on optimizing audio inference serving efficiency and advancing core audio model serving metrics while collaborating with training and serving infrastructure teams.
Responsibilities:
• Build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques.
• Advance core audio model serving metrics, including latency, throughput, and quality by diving deep into systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads.
• Collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment, with a special focus on real-time and streaming audio inference.
Qualifications:
Required:
• Significant experience developing high-performance audio or machine learning inference systems.
• Proficiency with programming languages such as C++ and Python.
• Hands-on experience with deep learning models for audio, speech, or language applications.
• A bias for action and a strong results-oriented mindset.
Preferred:
• GPU programming, low-level system optimization, model parallelization techniques over multiple GPUs
• Experience with duplex real-time streaming architectures.
• Internals of machine learning frameworks for audio (such as PyTorch, TensorFlow, or specialized audio libraries).
• Experience with inference framework like vLLM, SGLang, Tensort-LLM, or custom distributed inference systems
• Sequence modeling (e.g., transformers for audio/speech) and end-to-end audio pipeline optimization
Company:
Cohere develops enterprise artificial intelligence software and provides language models, retrieval tools, and workplace platforms. Founded in 2019, the company is headquartered in Toronto, CAN, with a team of 201-500 employees. The company is currently Growth Stage.