Lead AI Speech Scientist

Job Overview

The future is what you make it. We are seeking an experienced Lead Artificial Intelligence & Machine Learning Engineer with expertise in speech processing to contribute to real-time speech anonymization solutions. You will be responsible for developing, training, and optimizing machine learning models aimed at transforming speech signals in real-time, ensuring the de-identification of speakers.

This role will require you to work with large datasets, implement cutting-edge AI/ML techniques, and build systems optimized for high performance in CPU/GPU environments. You will be on a R&D team that works with engineers, researchers, and product managers across Honeywell to design and evaluate state-of-the-art product concepts. While this opening emphasizes speech technology skills, future R&D efforts may require translating skills to other technology areas (e.g., biosensing, augmented reality / virtual reality / near-to-eye, aircraft flight deck automation).

Location

LOCATION: The preferred location for this role is Deer Valley, Phoenix, AZ. The Plymouth, MN location will also be considered if needed. RELOCATION PACKAGE OFFERED!!.

Key Responsibilities

• Develop advanced speech transformation and speech pseudo-generation models.
• Design and implement machine learning architectures such as complex multi-head attention transformers, variational autoencoders (VAEs), and RNN/LSTM/CNN-based models for speech anonymization.
• Optimize AI models for real-time performance using model quantization, and model compression.
• Handle streaming audio processing with Voice Activity Detection (VAD) and implement models that operate in real-time.
• Develop and optimize AI models for both CPU and GPU environments (CUDA, cuDNN) using frameworks like TensorFlow and PyTorch.
• Train AI models on large-scale datasets and improve performance using automated platforms for testing and training.
• Collaborate with cross-functional teams to integrate AI solutions with the software architecture.
• Conceptualize and conduct applied research figuring out research developments best suited to solve open-ended problems.
• Respond to government funding solicitations and perform on government research contracts.
• Submit patent applications, academic publications, and share technical knowledge.

You Must Have

YOU MUST HAVE: Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics 6+ years of experience in developing AI/ML models for speech/audio processing with a deep expertise in CPU/GPU parallelism, multi-threading, real-time computing, and streaming data.

We Value

• Master's or Ph.D in Computer Science, AI, Machine Learning, or a related field.
• Deep expertise in AI/ML with experience in speech processing tasks (e.g., speech synthesis, speech de-identification, speaker recognition, voice conversion, accent conversion, noise handling).
• Proficient in Python, with hands-on experience in PyTorch and TensorFlow.
• Experience with model optimization, including quantization, pruning, and compression.
• Strong knowledge of CUDA, cuDNN, and GPU-based deep learning optimizations.
• Speech processing experience with hybrid or End-to-end techniques.
• Handling complete code from data pre-processing to model deployment.
• Proven track record of developing speech solutions in a real-time and noisy production environment.
• Ability to handle noisy data in speech processing and improve the robustness of AI models.
• Familiarity with variational autoencoders (VAE) and transformer-based architectures.
• Experience with Linux and iOS environments.
• Familiarity with speech naturalness detection, emotion extraction, and accent identification.
• Experience working on speech anonymization and pseudo speech generation.
• Knowledge of voice accent conversion techniques and speaker ID systems.
• Exposure to speech enhancement and noise cancellation techniques.
• Strong history of academic publications on speech technology.
• Strong skills in proposal writing.

Person Requirements

PERSON REQUIREMENTS: Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.