Honeywell Sr AI/ML R&D Scientist - Speech Technology Development 

United States, Arizona, Phoenix 

204986969

We are seeking an experiencedSenior Artificial Intelligence & Machine Learning Specialistwith 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).

•Medical/Rx Health Savings Account (HSA)
•Dental/Vision
•Short/Long-Term Disability
•Employee Assistance Program (EAP)
•401(k) Plan
•Education Assistance
•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.

•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.
•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.
Additional Information

• JOB ID: req475874
• Category: Engineering
• Location: 21111 N. 19th Ave (Deer Valley),Phoenix,Arizona,85027,United States
• Exempt
• Must be a US Person or able to obtain export Authorization.