Senior Machine Learning Engineer – Speech Recognition (ASR / Voice AI)

Emerge Soft; Polska; Hybrid; PLN 320,000 - 520,000; Full time

Benefits offered by this job

100% Remote Work

Competitive remuneration

Global impact

International engineering team

Job summary

Emerge Soft is seeking a Senior Machine Learning Engineer specializing in Automatic Speech Recognition (ASR) to join a global voice AI initiative. You will train, tune, and deploy state-of-the-art ASR models powering multilingual applications across automotive and enterprise solutions.

You will lead production-grade development, collaborate with researchers and engineers, and mentor junior staff while delivering scalable, efficient speech technology for millions of users worldwide.

Qualifications

• Bachelor’s degree in CS, EE, or related field with 8+ years of full-time experience or Master’s with 6+ years of experience.
• ASR, Keyword Spotting, or NLU experience in ML.
• Production-ready Python code and cloud deployment (Docker/Kubernetes).

Responsibilities

• Train, tune, benchmark, and optimize state-of-the-art ASR models across languages.
• Improve accuracy, latency, and scalability for cloud and edge deployments.
• Design, build, and maintain internal tools for ASR capabilities.
• Troubleshoot and resolve complex, customer-specific ASR challenges.
• Collaborate with cross-functional teams to deploy speech tech in production.
• Mentor junior engineers and promote technical excellence.

Skills

Python

Deep Learning

ASR

NLU

Leadership

Docker

Kubernetes

C++

Mentoring

Education

Bachelor’s degree in CS/EE

Master’s degree in CS/related

Tools

Kaldi

PyTorch

TensorFlow

TensorFlow Lite

ONNX

Docker

Kubernetes

C++

Job description

Senior Machine Learning Engineer – Speech Recognition (ASR / Voice AI)

Emerge in numbers

• 14 years on the market
• 100 people onboard
• 1 6 years of average employment duration
• 50 million transactions daily for mobile wallet
• 1 B$ value transactions daily for mobile wallet
  
• 1 billion mobile money accounts

Job Title: Senior Machine Learning Engineer – Speech Recognition (ASR / Voice AI)

Location: 100% Remote

Employment Type: Full-time B2B Contract

About the Role

We are looking for a Senior Machine Learning Engineer specializing in Automatic Speech Recognition (ASR) to join a global pioneer in conversational and voice AI technologies.

In this role, you will work on core speech technology platforms powering multilingual, real-world voice AI applications across automotive, customer engagement, and enterprise solutions. You will combine deep learning expertise with production-grade software engineering to train, tune, and deploy state-of-the-ASR models serving millions of users worldwide.

Key Responsibilities

Train, tune, benchmark, and optimize state-of-the-ASR models across multiple languages for enterprise-grade voice products.

Optimize ASR models for accuracy, latency, efficiency, and scalability across cloud and edge platforms.

Lead technical initiatives to design, build, and maintain internal tools and features enhancing core ASR capabilities.

Troubleshoot, triage, and solve complex, customer-specific ASR challenges and edge cases.

Collaborate with cross-functional engineering and research teams to ensure seamless integration of speech technologies into production environments.

Mentor junior and mid-level engineers, fostering knowledge sharing and technical excellence within the team.

Requirements

Education & Experience: Bachelor’s degree in CS, EE, or related field with 8+ years of full-time commercial experience OR Master’s degree with 6+ years.

ASR & ML Domain Expertise: Strong experience with Automatic Speech Recognition (ASR), Keyword Spotting, or Natural Language Understanding (NLU).

Deep Learning Fundamentals: Strong understanding of neural network architectures and proficiency with deep learning frameworks.

Production Code: Proficiency in writing production-ready, clean, and maintainable Python code.

Cloud & Infrastructure: Hands-on experience with Docker, Kubernetes, and containerized deployment in cloud environments.

Leadership: Proven track record of leading technical initiatives and mentoring junior engineers.

Nice to Have

Experience with Kaldi, PyTorch, or TensorFlow.

Knowledge of on-device model optimization (e.g., TensorFlow Lite, ONNX).

Proficiency in production-level C++ code.

Experience with end-to-end ASR pipelines, NLP techniques related to speech, and working directly on client-facing solutions.

What We Offer

100% Remote Work flexibility.

Competitive B2B remuneration matched to senior expertise.

Opportunity to shape state-of-the-ASR technologies at a global scale.

Collaborative, international engineering environment with complex technical challenges.