About the Company
Honeywell is a Fortune 100 technology company that delivers industry-specific solutions that include aerospace products and services; control technologies for buildings and industry; and performance materials globally. Our technologies help aircraft, buildings, manufacturing plants, supply chains, and workers become more connected to make our world smarter, safer, and more sustainable. We are at the forefront of the Internet of Things revolution, creating innovative solutions that seamlessly integrate into daily life.
Job Description
We are seeking a dedicated Smart Home Sound Classifier with an Internet of Things (IoT) focus to join our innovative R&D team in Wichita, Kansas. In this role, you will be instrumental in developing and refining advanced sound recognition algorithms for our next-generation smart home devices. You will work with large datasets of acoustic information, classify sounds to train machine learning models, and contribute to the overall intelligence of our IoT ecosystem. This position requires a keen ear, attention to detail, and a foundational understanding of audio processing and machine learning principles within an IoT context.
Key Responsibilities
- Analyze and classify diverse sound events from smart home environments (e.g., glass breaking, alarms, pets, human speech) to create high-quality datasets for machine learning model training.
- Annotate audio data accurately and efficiently, ensuring consistency and adherence to predefined classification guidelines.
- Collaborate with machine learning engineers and data scientists to understand model requirements and data needs.
- Perform quality control checks on classified datasets and provide feedback for continuous improvement.
- Contribute to the development and improvement of sound classification methodologies and tools.
- Assist in the evaluation and testing of new sound recognition features in smart home prototypes.
- Stay updated on the latest advancements in audio processing, machine learning, and IoT technologies.
Required Skills
- Minimum of 2 years of experience in audio data annotation, classification, or sound analysis.
- Proficiency with audio editing and annotation software (e.g., Audacity, Praat, ELAN).
- Strong understanding of acoustic properties and sound event recognition.
- Familiarity with data labeling best practices and quality assurance processes.
- Basic knowledge of machine learning concepts, particularly supervised learning.
- Excellent attention to detail and ability to maintain focus during repetitive tasks.
- Strong communication skills and ability to work effectively within a team environment.
- Bachelor's degree in a relevant field such as Computer Science, Electrical Engineering, Acoustics, or a related technical discipline.
Preferred Qualifications
- Experience with Python scripting for data processing or analysis.
- Familiarity with IoT device ecosystems and smart home technologies.
- Understanding of digital signal processing (DSP) fundamentals.
- Experience contributing to machine learning model training or evaluation.
- Master's degree in a relevant technical field.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- 401(k) retirement plan with company match.
- Paid time off and company holidays.
- Tuition reimbursement and professional development opportunities.
- Employee assistance program.
- On-site fitness center and wellness programs.
- Collaborative and innovative work environment.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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