ZipRecruiter

Log In

1

Machine Learning Speech Jobs (NOW HIRING)

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to ... Familiarity with human-machine interaction systems such as automatic speech recognition or neural ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

As a Machine Learning Scientist, you will develop cutting‑edge AI models to integrate and decode ... Familiarity with human‑machine interaction systems such as automatic speech recognition or neural ...

Kotoba

Artificial Intelligence Researcher

Sunnyvale, CA · On-site

A PhD or equivalent research experience in machine learning, speech processing, natural language processing, multimodal AI, human-computer interaction, or a closely related field * A strong research ...

Kotoba

Artificial Intelligence Researcher

Fremont, CA · On-site

A PhD or equivalent research experience in machine learning, speech processing, natural language processing, multimodal AI, human-computer interaction, or a closely related field * A strong research ...

Knowtex

ML Engineer: Speech & LLMs

San Francisco, CA · On-site

Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent research experience Preferred Qualifications For Speech Researchers * Deep experience ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... Experience with Speech Recognition. * Experience with Microsoft Azure services. System One, and its ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... Experience with Speech Recognition. * Experience with Microsoft Azure services. System One, and its ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... Experience with Speech Recognition. * Experience with Microsoft Azure services. System One, and its ...

Bland

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 ...

previous page

Showing results 41-60

All JobsTechnology JobsMachine Learning Speech Jobs

Machine Learning Speech information

What is a machine learning speech engineer?

A Machine Learning Speech Engineer is a professional who develops algorithms and models that enable computers to understand, process, and generate human speech. They work on tasks such as speech recognition, speech synthesis, speaker identification, and natural language understanding, often utilizing deep learning and other machine learning techniques. Their work is crucial for applications like virtual assistants, transcription services, and voice-controlled devices. These engineers typically have a background in computer science, linguistics, signal processing, and machine learning.

What are the key skills and qualifications needed to thrive as a machine learning speech engineer, and why are they important?

To thrive as a Machine Learning Speech Engineer, you need a solid background in computer science, signal processing, and machine learning, often supported by an advanced degree in a related field. Familiarity with tools like TensorFlow, PyTorch, Kaldi, and experience with speech recognition or natural language processing systems are typically required. Strong problem-solving skills, collaboration, and effective communication help in translating complex research into practical speech solutions. These competencies are vital for developing accurate and efficient speech technologies that meet user and business needs.

What are the typical collaboration opportunities for a machine learning speech engineer within a company?

Machine Learning Speech engineers frequently collaborate with cross-functional teams, including data scientists, software developers, product managers, and linguists. They work together to design, train, and deploy speech recognition or synthesis models, ensuring alignment with the company’s product goals and user needs. Collaboration is essential for integrating speech technologies into larger systems, troubleshooting issues, and refining models based on real-world feedback. Regular communication and teamwork help drive innovation and ensure the speech solutions are robust and user-friendly.

What is the difference between Machine Learning Speech vs Speech Recognition Engineer?

AspectMachine Learning SpeechSpeech Recognition Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Electrical Engineering, Computer Science; experience with speech processing tools
Work EnvironmentResearch labs, tech companies, AI startupsTech companies, voice tech firms, R&D departments
Industry UsageDevelops models for speech understanding, synthesis, and processingBuilds and optimizes speech recognition systems and algorithms

Machine Learning Speech focuses on developing models for understanding and generating speech, often involving deep learning techniques. Speech Recognition Engineers specialize in creating systems that convert spoken language into text. While both roles require knowledge of speech technologies, Machine Learning Speech emphasizes model development, whereas Speech Recognition Engineers focus on system implementation and optimization.

What other helpful pages are available for Machine Learning Speech?

Other pages related to Machine Learning Speech:

Infographic showing various Machine Learning Speech job openings in the United States as of September 2026, with employment types broken down into 10% Internship, 70% Full Time, 10% Part Time, and 10% Contract. Highlights an 90% In-person, and 10% Remote job distribution.

Machine Learning Scientist

San Francisco, CA • On-site

Tacit
See more jobs at Tacitexternal

$180K - $270K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

About Tacit
We are an early-stage, deep tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction. We are backed by General Catalyst, Khosla Ventures, and Greylock Partners, with a founding team from Stanford, BrainGate, Oculus, and Tesla. While we can't reveal too much just yet, our team is tackling cutting-edge engineering challenges to bring revolutionary products to life.
About the role
As a Machine Learning Scientist, you will develop cutting-edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a pivotal role in advancing our technology stack by building and optimizing models for real-time applications. This position spans foundational research in deep learning, hands-on model development, and applying algorithms to scale across diverse data sources and users.
Responsibilities:
  • Design and implement state-of-the-art machine learning algorithms for processing multimodal biosignals, including time series, spatial, and spectral data.
  • Build and optimize neural network architectures.
  • Develop and evaluate multimodal learning techniques to fuse information from multiple sensor modalities.
  • Iterate rapidly on model prototypes for real-time inference on custom hardware.
  • Create and maintain a robust evaluation framework for benchmarking model performance across datasets and participants.
  • Collaborate closely with a diverse team, including hardware engineers, neuroscientists, and product, to align models with user needs.

Requirements:
  • PhD in computer science, machine learning, computational neuroscience, or related fields (or equivalent industry experience).
  • Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and fluency in Python.
  • Track record of publishing or deploying machine learning models in real-world systems.
  • Independent work ethic, flexibility, and resourcefulness.
  • Effective communication and collaboration skills.
  • Comfortable in fast moving startup environment, excited to build independently

Preferred Qualifications:
  • Familiarity with human-machine interaction systems such as automatic speech recognition or neural interfaces.
  • Hands-on experience with consumer wearables or custom hardware.
  • Knowledge of low-latency inference techniques and model optimization for edge devices.

Details:
  • This position is full time, onsite in San Francisco (SOMA)
  • Company size: 30-40 people

Compensation Range
$180,000 - $270,000/year
Benefits
  • Competitive equity package
  • Comprehensive medical, dental, and vision insurance
  • Unlimited PTO
  • Visa sponsorship
  • 4% 401k matching

Apply