The candidate should meet the following requirements
Job Description
Role Description
The ideal candidate will have
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.