Join the forefront of biodiversity conservation with cutting-edge technology!

Position: Audio Machine Learning Engineer

Are you passionate about leveraging technology for positive environmental impact? Do you have a knack for developing advanced machine learning algorithms? We're seeking a talented Audio Machine Learning Engineer to join our innovative team dedicated to revolutionizing biodiversity conservation.

About Us: We are at the forefront of harnessing technology for biodiversity conservation, utilizing state-of-the-art machine learning algorithms to analyze audio data. 

Role Overview: As an Audio Machine Learning Engineer in a global team, you will be instrumental in developing and implementing machine learning algorithms to analyze audio data. 

Key Responsibilities:

• Develop and implement machine learning algorithms for audio data analysis, focusing on species identification and vocalization analysis.
• Collaborate with ecologists and domain experts to integrate ecological knowledge into machine learning models.
• Explore novel techniques to enhance the accuracy and efficiency of audio data analysis for biodiversity monitoring.
• Test and validate machine learning models to ensure robustness and reliability in real-world applications.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
• Proven experience in developing machine learning algorithms for audio data analysis.
• Proficiency in programming languages such as Python, R, or MATLAB.
• Strong understanding of signal processing techniques and deep learning frameworks.
• Passion for biodiversity conservation and environmental sustainability.