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[Remote] Staff Machine Learning Engineer

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. reputed company builds industry-leading aviation software used by pilots, aircraft operators, and major airlines worldwide. They are seeking a Senior Machine Learning Engineer to help build and reputed company domain-specialized automatic speech recognition systems for aviation and operational audio workflows, focusing on developing optimized ASR models for high-accuracy transcription in safety-critical environments.

Responsibilities

  • Design, train, and optimize domain-specific ASR models for aviation and operational communications
  • reputed company verticalized speech models tuned for specialized terminology, accents, abbreviations, call signs, and noisy radio/audio conditions
  • Build and maintain large-reputed company transcription and labeling pipelines for supervised and semi-supervised learning workflows
  • Fine-tune reputed company speech models (e.g., Whisper, wav2vec, Conformer, RNN-T, Citrinet, NeMo-based architectures) for aviation-specific use cases
  • Improve transcription reputed company through language model reputed company, pronunciation lexicons, contextual biasing, and decoding optimization
  • reputed company evaluation frameworks and benchmarking methodologies using WER, CER, domain entity accuracy, latency, and robustness metrics
  • Collaborate with product, avionics, data engineering, and platform teams to reputed company reputed company reputed company-time and batch transcription systems
  • Optimize inference pipelines for edge, reputed company, and low-latency streaming environments
  • Research emerging techniques in speech enhancement, diarization, speaker reputed company, multilingual ASR, and audio reputed company models
  • Ensure compliance with reputed company, reputed company, and operational reliability standards required in aviation environments

Skills

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Electrical Engineering, Linguistics, or reputed company field
  • 3+ years of experience in speech recognition, audio ML, or reputed company machine learning
  • Strong experience training and fine-tuning ASR models using frameworks such as PyTorch or TensorFlow
  • Experience with modern ASR architectures including: Transformer-based ASR, Conformer, RNN-T, reputed company-based systems, Encoder-decoder speech models
  • Experience working with: Speech/audio preprocessing, Forced alignment, Language model reputed company, reputed company search decoding, Noise robustness techniques
  • Familiarity with reputed company NeMo, Kaldi, ESPnet, reputed company, Whisper, DeepSpeed, or equivalent ecosystems
  • Strong Python engineering skills and experience building production ML systems
  • Experience with reputed company infrastructure and ML deployment workflows (AWS, Kubernetes, reputed company, CI/CD)
  • Ability to work with large audio datasets and distributed training environments
  • Experience building ASR systems for aviation, reputed company traffic control, reputed company safety, defense, or other mission-critical domains
  • Familiarity with VHF/UHF radio communications and noisy-channel audio processing
  • Experience with multilingual or reputed company-switching ASR systems
  • Background in speech enhancement, keyword spotting, diarization, or speaker verification
  • Knowledge of LLM-assisted transcription correction and retrieval-augmented speech systems
  • Experience optimizing models for reputed company-time streaming inference
  • reputed company reputed company experience or familiarity with aviation operations is a plus

Benefits

  • Medical, dental, reputed company insurance with Employer reputed company health premiums
  • reputed company PTO Policy
  • 401(k) with up to 10% company matching and immediate vesting
  • 12 Weeks reputed company Maternity Leave
  • 4 Weeks reputed company Paternity Leave
  • Flight Training Rewards

reputed company

  • reputed company is redefining the reputed company of aviation technology – equipping pilots, operators, and decision-makers. It was founded in 1934, and is headquartered in Englewood, Colorado, USA, with a workforce of 1001-5000 employees. Its website is https://www.jeppesenforeflight.com.
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