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Speech Recognition Developer Jobs (NOW HIRING)

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 ...

iOS Mobile Developer (Swift)

Reston, VA · On-site

$100K - $160K/yr

... speech recognition translation text-to-speech, coordinated across multiple services on hardware-constrained iPhones. You'll integrate vendor-provided ML models, manage background OTA model delivery ...

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 ...

Work with research, product, and infrastructure engineers to move promising research into our ... Research experience in full-duplex speech-to-speech, speech recognition, or speech generation ...

Work with research, product, and infrastructure engineers to move promising research into our ... Research experience in full-duplex speech-to-speech, speech recognition, or speech generation ...

Work with research, product, and infrastructure engineers to move promising research into our ... Research experience in full-duplex speech-to-speech, speech recognition, or speech generation ...

Work with research, product, and infrastructure engineers to move promising research into our ... Research experience in full-duplex speech-to-speech, speech recognition, or speech generation ...

Showing results 41-60

Speech Recognition Developer information

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$26

$50

$143

How much do speech recognition developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for speech recognition developer in the United States is $50.67, according to ZipRecruiter salary data. Most workers in this role earn between $32.45 and $61.54 per hour, depending on experience, location, and employer.

What are popular job titles related to Speech Recognition Developer jobs?

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

Infographic showing various Speech Recognition Developer job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 16% Part Time, and 1% Contract. Highlights an 67% Physical, 1% Hybrid, and 32% Remote job distribution, with an average salary of $105,387 per year, or $50.7 per hour.

Senior Engineer (ML/AI)

Remote

$107K - $146K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
Cephable is an innovative company focused on privacy-first, on-device AI solutions. They are seeking a Lead Machine Learning Engineer to advance their core ML systems, with responsibilities that include model development, optimization, and deployment for various applications.
Responsibilities:
• Design, train, fine-tune, and evaluate ML models for speech recognition, generative and reasoning models, and multimodal inference
• Adapt open-source and foundation models using Hugging Face and related tooling
• Translate research ideas into production-ready systems
• Optimize models for low-latency, low-power, offline execution
• Perform quantization, pruning, and distillation
• Deploy models via ONNX Runtime and OpenVINO targeting CPU, GPU, and NPU backends
• Build pipelines for training, evaluation, benchmarking, and regression testing
• Define and improve accuracy, latency, and resource metrics
• Partner with application and platform engineers to ensure seamless ML integration
• Communicate model performance, architectural decisions, and technical tradeoffs clearly to both technical and non-technical stakeholders
• Own Cephable’s ML architecture
• Set best practices and mentor team members
• Evaluate new tools, frameworks, and hardware
• Mentor engineers across the team on ML concepts and practices as the org grows
Qualifications:
Required:
• 4+ years of experience in machine learning or ML systems
• Strong PyTorch experience
• Hands-on experience with Hugging Face
• Production deployment using ONNX Runtime and/or OpenVINO
• Experience with acceleration frameworks like CUDA and GPU workflows
• Strong software engineering skills (Python, C++, or systems-level experience)
• Excellent communication skills — able to explain complex ML concepts, tradeoffs, and decisions clearly to engineers, product stakeholders, and non-technical partners alike
Preferred:
• Speech recognition or voice assistant experience
• LLMs, SLMs, or reasoning models
• Multimodal ML experience
• Edge or on-device AI background
• Experience with QNN, WinML, and CoreML
Company:
Cephable offers an ambient user interface platform that enables control of digital tools. Founded in 2023, the company is headquartered in Boston, USA, with a team of 11-50 employees. The company is currently Early Stage.