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Speech Recognition Engineer Jobs (NOW HIRING)

Sierra

Software Engineer, Voice

San Francisco, CA · On-site

They are seeking a Software Engineer specializing in voice technology to develop speech recognition and synthesis solutions, as well as integrate telephony systems. Responsibilities : • ...

Cephable

Senior Engineer (ML/AI)

$107K - $146K/yr

Responsibilities : • Design, train, fine-tune, and evaluate ML models for speech recognition ... platform engineers to ensure seamless ML integration • Communicate model performance ...

Cephable

Senior Engineer (ML/AI)

$107K - $146K/yr

Responsibilities : • Design, train, fine-tune, and evaluate ML models for speech recognition ... platform engineers to ensure seamless ML integration • Communicate model performance ...

Ursus, Inc.

Language Specialist - Speech AI

... Speech Recognition (ASR) and Text-to-Speech (TTS) systems • Develop WFST and Neural Networks ... with engineers and scientists in data collection and development efforts • Write clear and ...

ForeFlight

Staff Machine Learning Engineer

Austin, TX · On-site +1

$208K - $255K/yr

Jeppesen ForeFlight is seeking a Senior Machine Learning Engineer to help build and scale domain-specialized automatic speech recognition (ASR) systems for aviation and operational audio workflows.

Cresta

Lead Engineer - AI Agent Voice Experience

OR · On-site +1

Strong background in one or more of the following: speech recognition, speech processing, NLP ... Ability to work across research and engineering boundaries and translate promising ideas into ...

Cresta

Lead Engineer - AI Agent Voice Experience

$104K - $138K/yr

Strong background in one or more of the following: speech recognition, speech processing, NLP ... Ability to work across research and engineering boundaries and translate promising ideas into ...

Apple

Sr. Software Engineer, Siri Speech

Cupertino, CA

$184K - $324K/yr

... speech recognition or other machine learning technologies Minimum Qualifications Software engineering experience with strong programming skills in Swift and/or Objective-C (5+ years) Experience ...

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All JobsSpeech Recognition Engineer Jobs

Speech Recognition Engineer information

What is a speech recognition engineer?

A Speech Recognition Engineer develops and optimizes systems that convert spoken language into text using machine learning and signal processing techniques. They work with large datasets to train and fine-tune speech models, improve accuracy, and handle various accents, noises, and languages. Their role often involves programming in Python, using frameworks like TensorFlow or Kaldi, and collaborating with linguists and software engineers to enhance speech-enabled applications.

What does a speech recognition engineer do?

As a Speech Recognition Engineer, you’ll typically work on developing, optimizing, and maintaining ASR models and related tools, often as part of a multidisciplinary team. Your daily responsibilities may include analyzing large audio datasets, researching new model architectures, training and evaluating speech models, and troubleshooting real-world system issues. You’ll also collaborate closely with linguists, software developers, and product managers to integrate speech solutions into larger products or platforms. This role offers opportunities to stay on the cutting edge of AI technology and contribute to impactful, user-facing advancements.

What are the key skills and qualifications needed to thrive as a speech recognition engineer?

To thrive as a Speech Recognition Engineer, a strong background in computer science, signal processing, and machine learning—often backed by a relevant degree—is essential. Familiarity with frameworks such as TensorFlow or PyTorch, knowledge of ASR (Automatic Speech Recognition) systems, and experience with programming languages like Python and C++ are highly valued. Excellent problem-solving skills, teamwork, and effective communication are important soft skills for this position. These competencies enable engineers to build robust, high-quality speech recognition systems that perform well in real-world applications and collaborative work environments.

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Speech Recognition Engineer jobs near you
Infographic showing various Speech Recognition Engineer job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 80% Full Time, 16% Part Time, and 2% Contract. Highlights an 66% Physical, 1% Hybrid, and 33% Remote job distribution.

Software Engineer, Voice

Sierra

San Francisco, CA • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Sierra is creating a platform to help businesses build better customer experiences with AI. They are seeking a Software Engineer specializing in voice technology to develop speech recognition and synthesis solutions, as well as integrate telephony systems.
Responsibilities:
• Transcription: How do we enable accurate speech-to-text and automatic speech recognition across 100s of languages? What infrastructure do we need to do this at low latency?
• Synthesis: How do we generate speech that is precise and matches each customer’s desired brand and style?
• Runtime: How do we adapt our agentic loop to accept real-time streams of audio, instead of just text? How do we ensure we handle interruptions, disconnects, and transfers reliably?
• Scaling: Build the infrastructure to enable Sierra to handle millions of calls a day.
• Telephony: Build real-time integrations to telephony systems and call centers to enable Sierra to pick up the phone, and make outbound phone calls, reliably.
Qualifications:
Required:
• A passion for being on the frontier of AI products.
• Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact.
• Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity.
• 4+ years hands-on experience building production products and systems.
• Experience and comfort to build and ship full-stack solutions.
• Degree in Computer Science or related field, or equivalent professional experience.
Preferred:
• Experience building AI-powered products.
• A sharp eye for design.
• Experience with Go and Typescript.
• Experience building developer tooling, programming languages, or databases.
• Leadership experience on technical projects or teams.
Company:
Sierra helps businesses to build and deploy AI agents that communicate with users across channels such as chat, voice, email, and messaging. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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