Senior Speech & NLP ML Engineer (Remote/Europe)

Svitla Systems, Inc.; Polska; Remote; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Flexible remote work

Medical insurance

MultiSport card

Bonuses for referrals

Learning program

Job summary

Svitla Systems, Inc. is seeking a Senior Speech & NLP ML Engineer for a full-time role in Europe. The candidate will develop, optimize, and deploy end-to-end speech-to-text pipelines, handling audio preprocessing, ASR, and transcript post-processing.

Strong Python and ML skills, plus experience with PyTorch and Hugging Face tools, are essential. Responsibilities include dataset management, model tuning, and evaluation using WER/CER metrics.

Qualifications

• Strong Python programming skills.
• 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.
• Experience performing ASR error analysis and identifying ways to improve transcription quality.
• Experience with transcript post-processing tasks such as text normalisation, punctuation restoration, casing, or domain-specific vocabulary correction.
• Familiarity with deep learning frameworks such as PyTorch or similar.
• Familiarity with speech/audio and ML tooling such as Hugging Face Transformers/Datasets, torchaudio, librosa, pydub, soundfile, Pandas, NumPy, or similar.
• Experience with development and experiment tools such as Git/GitHub, Hydra, and Weights & Biases, or similar alternatives.
• Experience working with shared codebases, remote teams, and remote servers.
• Ability to independently own tasks, analyse performance, and proactively propose improvements.

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.

Job description

Svitla Systems, Inc. is seeking a Senior Speech & NLP ML Engineer for a full-time role in Europe. The candidate will develop, optimize, and deploy end-to-end speech-to-text pipelines, handling audio preprocessing, ASR, and transcript post-processing.

Strong Python and ML skills, plus experience with PyTorch and Hugging Face tools, are essential. Responsibilities include dataset management, model tuning, and evaluation using WER/CER metrics.