Staff Machine Learning Engineer

Actively Hiring

Full-time Posted 28 days ago

Responsibilities

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

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Electrical Engineering, Linguistics, or related field.
3+ years of experience in speech recognition, audio ML, or applied 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 CTC-based systems Encoder-decoder speech models
Conformer
RNN-T
CTC-based systems
Encoder-decoder speech models
Experience working with:
+ Speech/audio preprocessing Forced alignment Language model adaptation Beam search decoding Noise robustness techniques
Forced alignment
Language model adaptation
Beam search decoding
Noise robustness techniques
Familiarity with NVIDIA NeMo, Kaldi, ESPnet, Hugging Face, Whisper, DeepSpeed, or equivalent ecosystems.
Strong Python engineering skills and experience building production ML systems.
Experience with cloud infrastructure and ML deployment workflows (AWS, Kubernetes, Docker, CI/CD).
Ability to work with large audio datasets and distributed training environments.

Experience building ASR systems for aviation, air traffic control, public safety, defense, or other mission-critical domains.
Familiarity with VHF/UHF radio communications and noisy-channel audio processing.
Experience with multilingual or code-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 real-time streaming inference.
Active pilot experience or familiarity with aviation operations is a plus.
Medical, dental, vision insurance with Employer paid health premiums
Open PTO Policy
401(k) with up to 10% company matching and immediate vesting
12 Weeks Paid Maternity Leave
4 Weeks Paid Paternity Leave
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