Senior ML Engineer (Speech, Audio & NLP)

Svitla Systems; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Bonuses for article writing

Public talks and activities

Generous time off

Personalized learning programs

Free tech webinars

Regular online activities

Awesome team and supportive community

Job summary

Svitla Systems seeks a Senior ML Engineer (Speech, Audio & NLP) for a full-time role with a Europe focus. The candidate will combine software engineering with hands-on speech recognition, audio processing, and NLP to develop end-to-end pipelines from raw audio to structured text.

Responsibilities include training and deploying ML models, evaluating ASR systems, and collaborating with remote teams. The position offers flexibility in workspace, competitive compensation, and ongoing learning

Qualifications

• Strong Python programming skills.
• 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: 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 domain-specific use cases.

Responsibilities

• Develop, train, evaluate, and deploy ML models for speech and audio tasks.
• Build end-to-end speech-to-text pipelines including audio preprocessing, ASR, and post-processing.
• Prepare and manage audio and text datasets for model development and evaluation.
• Analyse ASR outputs and improve transcription quality.
• Collaborate with team members on shared codebases and remote projects.

Skills

Python

ML concepts

Speech processing

NLP

ASR

Remote teamwork

PyTorch

Git/GitHub

Tools

torchaudio

librosa

pydub

Pandas

NumPy

Hugging Face

Job description

Svitla Systems Inc. is looking for a Senior ML Engineer (Speech, Audio & NLP) for a full-time position (40 hours per week) in Europe. Our client is an American mobile computing company.The ideal candidate combines strong software engineering expertise with hands-on experience in speech recognition, audio processing, and NLP. We’re looking for someone who enjoys solving complex technical challenges, takes full ownership of their work, and continuously looks for ways to improve model performance and overall system efficiency.You will work on developing, optimizing, and improving end-to-end speech processing pipelines, from raw audio input to accurate, structured text output.

Requirements

• 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.

Will be a plus

• Experience with Whisper, wav2vec 2.0, NeMo, Kaldi, SpeechBrain, or similar speech frameworks/models.
• Experience fine-tuning ASR models for specific domains, languages, accents, or noisy environments.
• Experience with multilingual or low-resource ASR.
• Experience with audio denoising or speech enhancement.
• Experience with voice activity detection and advanced audio segmentation.
• Experience with speaker diarisation, speaker verification, speaker identification, or speaker embedding models.
• Experience with streaming or real-time ASR systems.
• Experience with text-to-speech or voice synthesis is a plus, but not required.

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.

We offer

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote or our welcoming office.
• Bonuses for article writing, public talks, and other activities.
• Generous time off, including vacation, national holidays, sick leaves, and family days.
• Personalized learning programs tailored to your interests and skill development.
• Free tech webinars and meetups organized by Svitla.
• Regular corporate online activities.
• Awesome team and a friendly, supportive community!

Ref # 5479