Lead AI Speech Scientist

Job Description

Honeywell seeks an experienced Lead Artificial Intelligence & Machine Learning Engineer with expertise in speech processing to develop real-time speech anonymization solutions. This role involves designing, training, and optimizing AI/ML models to ensure speaker de-identification while maintaining high performance in CPU/GPU environments.

Responsibilities:

• Develop advanced speech transformation and pseudo-generation models.

• Design and implement ML architectures including multi-head attention transformers, VAEs, and RNN/LSTM/CNN models for speech anonymization.

• Optimize models for real-time performance using quantization and compression.

• Implement streaming audio processing with Voice Activity Detection (VAD).

• Develop and optimize AI models for CPU/GPU using TensorFlow and PyTorch.

• Train on large-scale datasets and automate testing/training.

• Collaborate with cross-functional teams for integration.

• Conduct applied research and respond to government funding solicitations.

• Submit patents and publications.

Requirements:

• Bachelor’s degree in a technical discipline (STEM).

• 6+ years in AI/ML model development for speech/audio processing.

• Expertise in CPU/GPU parallelism, multi-threading, and real-time computing.

Preferred Qualifications:

• Master’s/Ph.D. in Computer Science, AI, ML, or related field.

• Deep speech processing experience (speech synthesis, de-identification, voice conversion, noise handling).

• Proficient in Python, PyTorch, and TensorFlow.

• Skilled in model optimization and GPU deep learning (CUDA, cuDNN).

• Experience with VAE, transformer architectures, Linux, iOS, and speech enhancement.

Benefits:

• From $100,000/year

• Health, dental, and vision insurance

• 401(k)

• Paid time off

• Tuition reimbursement