Senior ML Engineer, Speech Recognition (ASR) - Remote

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

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.