Senior Speech & NLP ML Engineer - Remote Europe

Svitla; Polska; Hybrid; PLN 350,000 - 550,000; Full time

Benefits offered by this job

Medical insurance after 1 month

Multisport card for Poland facilities

Performance bonuses

Job summary

Svitla Systems Inc. is seeking a Senior Speech & NLP ML Engineer for a full-time Europe-based role. You will own end-to-end speech-to-text pipelines, from audio preprocessing to transcription quality improvements, and collaborate with remote teams.

The ideal candidate combines software engineering with hands-on experience in speech recognition, audio processing, and NLP. Remote-friendly with 40 hours/week commitment.

Qualifications

• Strong problem-solving and analytical abilities.
• Solid knowledge of machine learning and artificial intelligence.
• Good understanding of speech processing, audio processing, and NLP concepts.
• Hands-on experience with automatic speech recognition or speech-to-text systems.
• Experience building or improving audio preprocessing and transcription pipelines.
• Experience with audio data handling, including formats, sampling rates, noise, segmentation, and audio quality issues.
• Experience preparing and managing audio/text datasets for training, evaluation, and analysis.
• Experience fine-tuning LLM and/or ASR models for task-specific or domain-specific use cases.
• Experience evaluating ASR systems using metrics such as WER, CER, and task-specific quality metrics.

Responsibilities

• Develop, train, evaluate, and deploy machine learning models for speech and audio-related tasks.
• Build and optimise end-to-end speech-to-text pipelines, including audio preprocessing, ASR, and transcript post-processing.
• Prepare, clean, manage, and manipulate audio and text datasets for model development and evaluation.
• Perform audio preprocessing tasks such as resampling, normalisation, denoising, segmentation, and format conversion.
• Analyse ASR outputs and identify ways to improve transcription quality.
• Improve ASR performance through data improvements, model tuning, pipeline optimisation, and post-processing.
• Apply NLP techniques for transcript cleanup, text normalisation, punctuation restoration, casing, and domain-specific correction.
• Evaluate speech and NLP systems using metrics such as WER, CER, precision, recall, and task-specific quality metrics.
• Run and track experiments, document findings, and communicate model or pipeline improvements clearly.
• Collaborate with team members on shared codebases, remote projects, and remote servers.

Skills

Speech processing

Audio processing

NLP concepts

ASR / speech-to-text

ML engineering

PyTorch

Hugging Face

Git/GitHub

Tools

Hugging Face Transformers/Datasets

torchaudio

librosa

pydub

soundfile

Pandas

NumPy

Hydra

Weights & Biases

Job description

Svitla Systems Inc. is seeking a Senior Speech & NLP ML Engineer for a full-time Europe-based role. You will own end-to-end speech-to-text pipelines, from audio preprocessing to transcription quality improvements, and collaborate with remote teams.

The ideal candidate combines software engineering with hands-on experience in speech recognition, audio processing, and NLP. Remote-friendly with 40 hours/week commitment.