What are the responsibilities and job description for the Lead AI/ML Software Architect & Integration Scientist position at honeywell?
The future is what you make it.
We are seeking an experienced Lead AI/ML Specialist 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: Phoenix, AZ
RELOCATION OFFERED!
Are you ready to make the future with us?
When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future.
BENEFITS:
Benefits provided may differ by role and location. Learn more at benefits.honeywell.com.
• Unlimited Vacation Plan with No Preset Maximums
• Flexible Hybrid Work Schedule
• Medical/Rx Health Savings Account (HSA)
• Dental/Vision
• Short/Long-Term Disability
• Employee Assistance Program (EAP)
• 401(k) Plan
• Education Assistance
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.
U.S. 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
