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Speech Processing Jobs (NOW HIRING)

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

Experience with modern speech processing frameworks * Good dev ops experience * Advanced DSP experience * MongoDB or SQL experience * Experience with unit, integration, and load testing * Experience ...

Motorola

Speech Science Technology Manager

Richardson, TX · On-site

$130K - $178K/yr

Architect and lead development of real-time speech processing pipeline: Voice Command detection, VAD (voice activity detection), ASR, TTS, noise suppression, echo cancellation, and keyword spotting.

AI Chopping Block

$180K - $270K/yr

This team's responsibilities cover low-level media processing pipelines, integration with internal and external models for speech recognition and synthesis, and globally distributed, WebRTC-based ...

Deepgram

Sr. Backend Engineer - Engine Team: API

$150K - $220K/yr

You will design and implement secure, robust, and scalable services for speech processing; efficient, distributed compute orchestration; optimized scheduling, and more. Your skill at building highly ...

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How much do speech processing jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for speech processing in the United States is $41.32, according to ZipRecruiter salary data. Most workers in this role earn between $35.10 and $45.91 per hour, depending on experience, location, and employer.

What is speech processing?

Speech processing is a field within computer science and electrical engineering focused on analyzing, interpreting, and manipulating human speech signals. It includes tasks such as speech recognition, speaker identification, speech synthesis, and speech enhancement. These technologies enable computers and devices to understand spoken language, convert speech to text, or generate natural-sounding synthetic voices. Speech processing is used in virtual assistants, voice-controlled devices, and accessibility tools.

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

To excel as a Speech Processing Engineer, you need strong programming skills, a background in digital signal processing, and a degree in computer science, electrical engineering, or a related field. Experience with tools like Python, MATLAB, and libraries such as Kaldi or TensorFlow, as well as knowledge of machine learning frameworks, is typically required. Strong problem-solving, analytical thinking, and clear communication skills help in designing effective solutions and collaborating with cross-functional teams. These skills ensure the development of accurate, efficient speech recognition and synthesis systems that meet user and business needs.

What are some common challenges faced by professionals in speech processing roles, and how can they be addressed?

Professionals in Speech Processing often encounter challenges related to handling diverse accents, background noise, and varying speech patterns, which can impact the accuracy of speech recognition systems. To address these issues, teams frequently collaborate with linguists and data scientists to refine algorithms, utilize large and diverse datasets, and implement advanced noise reduction techniques. Staying updated with the latest research and regularly evaluating system performance are also essential practices to ensure robust and adaptable speech processing solutions.

What is the difference between Speech Processing vs Speech Recognition?

AspectSpeech ProcessingSpeech Recognition
DefinitionBroad field involving analysis, modification, and synthesis of speech signalsSubfield focused on converting spoken language into text
Skills & CertificationsSignal processing, audio engineering, programming; certifications like DSP or audio engineeringMachine learning, NLP, programming; certifications in AI or speech technology
Work EnvironmentResearch labs, tech companies, audio hardware firmsSoftware development, AI companies, voice assistant firms
Industry UsageTelecommunications, audio processing, speech synthesisVirtual assistants, transcription services, voice command systems

Speech Processing is a broad field encompassing various aspects of speech signal analysis and synthesis, while Speech Recognition specifically focuses on converting spoken words into written text. Both roles often require similar technical skills and certifications, but their applications differ across industries and job functions.

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Speech Processing jobs near you
Infographic showing various Speech Processing job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $85,951 per year, or $41.3 per hour.

Speech Processing ML Algorithm Engineer

Cupertino, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

Full-time

Posted 15 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

Job description

At Apple, new ideas have a way of quickly becoming extraordinary products, services and customer experiences. Sound is an essential and compelling facet of the customer experience - Apple has assembled a world-class Acoustics team that enables our customers to experience music with delight, communicate with clarity and appreciate our products without disturbance from noise. In Apple Acoustics we work with obsessive attention to detail, directly contributing to products that ship to millions of people around the world.
The Acoustic ML Algorithm Development team sits in Apple's Hardware organization and develops the new architectures and training paradigms that define the audio experience of the next generation of Apple hardware along with our counterparts in the Software organization. We also work closely with various teams behind microphones, loudspeakers, wireless communication, silicon, etc and we focus on features that improve the customer experience across speech, music, and general audio. We are searching for a Speech Processing ML Algorithm Engineer to advance our work in the domain of speech enhancement, with an emphasis on low-latency processing applications.
Description
As a Speech Processing ML Algorithm Engineer on the Acoustics ML Algorithm Development team, you will design, train, and evaluate models for speech enhancement. Examples include noise suppression, de-reverberation, echo suppression, and general multi-microphone processing under the low-latency, real-time constraints of shipping hardware. You will work with cross functional teams to bring early prototypes through to production.
Minimum Qualifications
MS or PhD in a computational science field or 3+ years of experience in the field of ML for speech processing.
A passion for audio ML research for applied product applications, with a deep understanding of transformers, recurrent and convolutional neural networks, etc.
Experience designing, training, and evaluating machine learning models for speech enhancement, such as noise suppression, dereverberation, source separation, or echo residual suppression.
Experience building models that meet low-latency, real-time requirements, including streaming and causal processing, and a clear understanding of the quality, complexity, and latency trade-offs involved.
Strong grounding in audio and speech signal processing fundamentals, for example STFT analysis/synthesis.
Proficiency with PyTorch and Bash, including version control, code review, testing, and reproducible experiments.
A habit of following the state of the art literature closely, with the ability to reproduce, critique, and build on published results.
Working knowledge of speech quality evaluation, spanning objective metrics (e.g. PESQ, STOI, SI-SDR, DNSMOS) and subjective listening tests, along with the data simulation and augmentation needed to support them.
Preferred Qualifications
Experience applying machine learning to adaptive filter prediction and control, such as echo cancellation, active noise control, or adaptive beamforming, including hybrid classical and learned systems.
Familiarity with Lightning and Hydra.
Familiarity with model efficiency techniques such as quantization-aware training or distillation.
Experience in high-performance cloud computing for model training.
Open source contributions to a repository using in the ML audio community.

What Apple employees say

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Benefits

Hours and flexibility

Workplace

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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