About the Company: Join us at our VC backed stealth-mode startup as we develop cutting-edge technology aimed at enhancing situational awareness and safety measures in diverse environments. We are a fast-growing team of innovators dedicated to making a significant impact through advanced technology solutions.

Role Overview: We are seeking a highly skilled Audio ML Engineer to join our engineering team. This role focuses on the development and implementation of machine learning models for audio analysis, with a particular emphasis on detecting and differentiating various sounds within specific environments. The successful candidate will be pivotal in enhancing our product’s ability to interpret and respond to a wide range of audio signals, including but not limited to gunshots, human speech, and mechanical and environmental noises.

Responsibilities:

• Design and develop advanced machine learning algorithms for audio signal processing.
• Implement real-time audio analysis systems capable of identifying and categorizing distinct sound types.
• Collaborate with cross-functional teams to integrate audio detection models into hardware solutions.
• Conduct rigorous testing and validation of models to ensure accuracy and reliability under various conditions.
• Stay abreast of the latest developments in audio processing, machine learning, and related fields to continually improve our technology.
• Travel to various states for acquiring training data, testing, and implementation.

Qualifications:

• Proven experience in developing and implementing machine learning models for audio analysis.
• Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch.
• Knowledge of digital signal processing techniques and acoustics.
• Ability to work in a fast-paced, evolving environment while handling multiple priorities.
• Excellent communication and collaboration skills.

What We Offer:

• The opportunity to work on groundbreaking technology with potential life-saving applications.
• A dynamic, innovative atmosphere with a focus on growth and professional development.
• Hybrid work opportunities with flexible hours.

Note: Due to the confidential nature of our work, further details about the project will be shared during the latter stages of the interview process.