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Speech Recognition Validation Engineer Jobs (NOW HIRING)

As a Speech Recognition Engineer , you will be responsible for consumer product design for our Advanced Products and Technologies. In this role, you will be involved in modeling techniques to advance ...

As a Speech Recognition Engineer , you will be responsible for consumer product design for our Advanced Products and Technologies. In this role, you will be involved in modeling techniques to advance ...

The Validation Engineer will be responsible for driving overall quality performance and compliance ... ongoing recognition and career development opportunities. Employees also enjoy our generous ...

At Syner-G, we recognize that our team members are our most valuable asset. Join us in shaping the ... The Validation Engineer will be responsible for driving overall quality performance and compliance ...

At Syner-G, we recognize that our team members are our most valuable asset. Join us in shaping the ... The Validation Engineer will be responsible for driving overall quality performance and compliance ...

Validation Engineer

Draper, UT ยท On-site

$42/hr

Develop PMV and Process Validation plans. Nice to Have: * CQE (Certified Quality Engineer), if ... Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile ...

As a Thermal Validation Engineer, you will be an integral part of the Testing and Validation ... ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible ...

You will validate customer order configurations, technical data, wiring diagrams, and software to ... Additionally, we offer a bonus program to recognize and reward individual contributions and ...

Validation Engineer

Jackson, MN ยท On-site

$54K - $100K/yr

... Engineer will be considered. * Holds a valid driver's license with a clean driving record and can ... We value inclusion and recognize the innovation a diverse workforce delivers to our farmers.

As a Electronics Validation Engineer, you will be part of the Electronics Test and Validation ... ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible ...

Validation Engineer

Buena, NJ ยท On-site

$97K - $121K/yr

The Validation Engineer reports directly to the Manager of Validation. The role is responsible for ... will be recognized and appreciated. Sound like you? Apply today Essential Functions: This ...

Validation Engineer

Jackson, MS ยท On-site

$60 - $80/hr

Validation Engineer Date: Apr 13, 2026 Location: Jackson, MN, US Workplace Type: Onsite Not ... We value inclusion and recognize the innovation a diverse workforce delivers to our farmers.

Validation Engineer

Jackson, MN ยท On-site

$54K - $100K/yr

... Engineer will be considered. * Holds a valid driver's license with a clean driving record and can ... We value inclusion and recognize the innovation a diverse workforce delivers to our farmers.

Validation Engineer

Jackson, MN ยท On-site

$54K - $100K/yr

... Engineer will be considered. * Holds a valid driver's license with a clean driving record and can ... We value inclusion and recognize the innovation a diverse workforce delivers to our farmers.

Hardware Validation Engineer

Austin, TX ยท On-site

$27 - $30/hr

As a Hardware Validation Engineer, you will be an essential part of the post-silicon lab activities ... We are recognized consistently for our diversity - as a best place to work for Women, Inclusion ...

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Speech Recognition Validation Engineer information

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How much do speech recognition validation engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for speech recognition validation engineer in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What are popular job titles related to Speech Recognition Validation Engineer jobs?

For Speech Recognition Validation Engineer jobs, the most frequently searched job titles are:

Infographic showing various Speech Recognition Validation Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 59% Physical, 1% Hybrid, and 40% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Speech Recognition Engineer

Manhattan, NY โ€ข On-site

Other

Re-posted 3 days ago


Job description

Job Title: Speech Recognition Engineer
Job Summary
We are seeking a Speech Recognition Engineer to design, develop, and optimize Automatic Speech Recognition (ASR) systems for voice-enabled applications. The ideal candidate will have expertise in speech processing, deep learning, natural language processing (NLP), and machine learning. This role involves building, training, fine-tuning, and deploying speech recognition models that deliver high accuracy, low latency, and robust performance across diverse languages, accents, and acoustic environments.
Key Responsibilities
  • Design, develop, and optimize Automatic Speech Recognition (ASR) models for production applications.
  • Build end-to-end speech processing pipelines, including audio preprocessing, feature extraction, decoding, and post-processing.
  • Train, fine-tune, and evaluate speech recognition models using large-scale speech datasets.
  • Improve recognition accuracy for multilingual, domain-specific, and noisy audio environments.
  • Develop real-time and batch speech recognition solutions.
  • Optimize models for latency, throughput, memory efficiency, and inference performance.
  • Integrate ASR models into voice assistants, conversational AI systems, call center platforms, and enterprise applications.
  • Develop data pipelines for speech data collection, annotation, augmentation, and quality validation.
  • Evaluate model performance using industry-standard speech recognition metrics.
  • Collaborate with NLP Engineers, Machine Learning Engineers, AI Engineers, Data Scientists, and Product teams.
  • Deploy speech recognition models using MLOps and cloud-native deployment practices.
  • Monitor production performance and continuously improve model quality.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, Speech Technology, or a related field.
  • 3+ years of experience in speech recognition, speech processing, machine learning, or AI engineering.
  • Strong programming skills in Python.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Solid understanding of digital signal processing (DSP) fundamentals.
  • Experience with speech processing libraries such as SpeechBrain, ESPnet, Hugging Face Transformers, torchaudio, librosa, or Kaldi.
  • Experience training and fine-tuning deep learning models.
  • Familiarity with Linux development environments, Git, and containerization using Docker.
  • Understanding of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Preferred Qualifications
  • Experience with modern ASR architectures such as Whisper, Conformer, wav2vec 2.0, DeepSpeech, or RNN-Transducer (RNN-T).
  • Experience deploying speech recognition models using ONNX Runtime, TensorRT, NVIDIA Triton Inference Server, or TorchServe.
  • Knowledge of multilingual and low-resource language speech recognition.
  • Experience with streaming speech recognition and real-time inference.
  • Familiarity with speech enhancement, voice activity detection (VAD), speaker diarization, and keyword spotting.
  • Experience with MLOps tools such as MLflow, Kubeflow, or cloud AI platforms.
  • Knowledge of Large Language Models (LLMs) for speech understanding and conversational AI.
Technical Skills
  • Python
  • PyTorch
  • TensorFlow
  • Hugging Face Transformers
  • SpeechBrain
  • ESPnet
  • Kaldi
  • torchaudio
  • librosa
  • Whisper
  • wav2vec 2.0
  • Conformer
  • RNN-T
  • ONNX Runtime
  • TensorRT
  • NVIDIA Triton Inference Server
  • TorchServe
  • Docker
  • Git
  • Linux
  • AWS / Azure / Google Cloud Platform
Soft Skills
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration
  • Attention to detail
  • Ability to work with cross-functional teams
  • Continuous learning mindset
  • Strong documentation and experimentation practices
Nice to Have
  • Experience with speech synthesis (Text-to-Speech) or conversational AI platforms
  • Knowledge of multilingual ASR evaluation and benchmarking
  • Experience with edge AI deployment for speech applications
  • Familiarity with model compression, quantization, and inference optimization
  • Publications or contributions in speech AI, ASR, or related open-source projects
Key Performance Indicators (KPIs)
  • Word Error Rate (WER) and Character Error Rate (CER)
  • Model inference latency and throughput
  • Speech recognition accuracy across languages and accents
  • Production model availability and reliability
  • Improvement in recognition quality over baseline models
  • Successful deployment and adoption of ASR features
  • Reduction in production defects and model regressions

Location
Hybrid / Remote / On-site (as applicable)
Employment Type
Full-time