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Speech Synthesis Jobs (NOW HIRING)

Nowcom

AI Voice Engineer

Los Angeles, CA · On-site

This role involves working with state-of-the-art speech recognition, speech synthesis, voice streaming, and AI agent frameworks to create scalable voice solutions for customer service, sales, finance ...

Nowcom

AI Voice Engineer

Los Angeles, CA · On-site

This role involves working with state-of-the-art speech recognition, speech synthesis, voice streaming, and AI agent frameworks to create scalable voice solutions for customer service, sales, finance ...

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Speech Synthesis information

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How much do speech synthesis jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for speech synthesis in the United States is $44.25, according to ZipRecruiter salary data. Most workers in this role earn between $37.74 and $50.96 per hour, depending on experience, location, and employer.

What is speech synthesis?

Speech synthesis is the artificial production of human speech by computers or other devices. It involves converting written text into spoken words using specialized software and algorithms, often known as text-to-speech (TTS) systems. This technology is used in various applications, such as virtual assistants, accessibility tools for visually impaired users, and automated customer service systems. Advances in machine learning and artificial intelligence have greatly improved the naturalness and clarity of synthetic speech, making it sound more human-like.

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

To thrive as a Speech Synthesis Engineer, you need a strong background in computer science, linguistics, and signal processing, typically supported by a relevant degree. Expertise with machine learning frameworks (such as TensorFlow or PyTorch), speech synthesis toolkits (like Tacotron or WaveNet), and programming languages (Python or C++) is essential. Strong analytical thinking, creativity, and effective teamwork are standout soft skills for developing natural-sounding and innovative speech technologies. These skills are crucial to advancing accessible, high-quality voice interfaces and applications in diverse industries.

What are some common challenges faced by speech synthesis engineers when developing natural-sounding voices?

Speech synthesis engineers often encounter challenges such as ensuring the generated voice sounds natural and expressive across various contexts and emotions. Achieving accurate pronunciation, intonation, and rhythm requires careful tuning of models and datasets, as well as extensive testing across diverse languages and accents. Collaboration with linguists, data scientists, and voice talent is common to refine vocal characteristics and address edge cases. Staying updated with advances in deep learning and neural network architectures is also important for continuous improvement.

What is the difference between Speech Synthesis vs Speech Recognition?

AspectSpeech SynthesisSpeech Recognition
Required CredentialsComputer Science, Linguistics, Audio EngineeringComputer Science, Linguistics, Signal Processing
Work EnvironmentSoftware development, AI labs, tech companiesCall centers, voice assistant companies, research labs
Industry UsageGenerating spoken output from textConverting spoken input into text

Speech Synthesis involves creating artificial speech from text, enabling applications like text-to-speech systems. Speech Recognition focuses on converting spoken language into written text, used in voice assistants and transcription services. While both involve audio processing and require similar technical skills, they serve opposite functions in voice technology.

What does speech synthesis do?

Speech synthesis is a technology used in the Speech Synthesis job to convert written text into spoken words using algorithms and digital voices. It involves designing and improving voice quality, intonation, and clarity, often utilizing tools like text analysis and signal processing. This process enables applications such as virtual assistants, screen readers, and language learning tools.

What cities are hiring for Speech Synthesis jobs?

Cities with the most Speech Synthesis job openings:

What states have the most Speech Synthesis jobs?

States with the most job openings for Speech Synthesis jobs include:

What job categories do people searching Speech Synthesis jobs look for?

The top searched job categories for Speech Synthesis jobs are:

What other helpful pages are available for Speech Synthesis?

Other pages related to Speech Synthesis:

Speech Synthesis jobs near you
Infographic showing various Speech Synthesis job openings in the United States as of September 2026, with employment types broken down into 5% As Needed, 60% Full Time, 22% Part Time, 1% Temporary, and 12% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $92,039 per year, or $44.2 per hour.

Deep Learning Scientist, Speech Synthesis

Santa Clara, CA • On-site

Vailexa
See more jobs at Vailexaexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Build More Than Just a Career. Build Your Future.

At Vailexa, we're not just hiring — we're building thinkers, creators, and future leaders.

We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you're someone who wants to learn fast, take ownership, and grow beyond limits, you'll feel right at home here.

Key Responsibilities

  • Train speech synthesis mel spectrogram and vocoder models
  • Measure and benchmark model performance across use cases
  • Maintain and enhance text to speech evaluation systems
  • Analyze model accuracy and bias and recommend improvements
  • Improve processes related to speech data preparation, augmentation, and filtering
  • Develop and refine training datasets for speech models
  • Characterize performance and quality metrics across different platforms
  • Collaborate with cross functional teams to deliver new product features
  • Participate in code development, design reviews, and test planning
  • Identify issues, propose solutions, and contribute to continuous innovation

Required Qualifications

  • Master's degree or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Mathematics, Linguistics, or Computational Linguistics or equivalent experience
  • Minimum of 5 years of relevant experience
  • Strong programming skills in Python
  • Solid understanding of programming fundamentals and software design
  • Deep knowledge of machine learning and deep learning techniques including CNN, RNN, LSTM, and Transformers
  • Experience applying deep learning to speech synthesis, large language models, and speech to speech translation
  • Hands on experience with speech technologies such as speech synthesis and voice cloning
  • Experience training speech models
  • Proficiency with PyTorch deep learning frameworks
  • Knowledge of speech signal processing techniques including FFT, MFCC, and mel spectrograms
  • Familiarity with version control tools such as Git, Gerrit, or GitLab
  • Strong collaboration and communication skills in a matrixed environment

Preferred Qualifications

  • Fluency in one or more languages such as Spanish, Mandarin, German, Japanese, Russian, French, Arabic, Hindi, Korean, Italian, or Portuguese
  • Experience with multilingual or code switched text to speech systems
  • Experience with voice cloning and cross lingual voice cloning
  • Knowledge of text normalization and inverse text normalization using neural networks or WFST
  • Experience working with grapheme to phoneme systems for multiple languages
  • Interest in linguistics, phonetics, and language technologies
  • Strong C plus plus programming skills
  • Familiarity with GPU technologies such as CUDA, cuDNN, or TensorRT
  • Experience deploying machine learning models to cloud, data center, or embedded systems

Ready to take the next step?

If you're excited about this role and ready to grow with a team that values ambition, ideas, and impact — we'd love to hear from you.

???? Apply now and start building your journey with Vailexa.