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We are seeking an expert in signal processing and machine learning to accelerate sustainable agriculture and conservation research. As a key member of our team, you will design and develop next-generation acoustic sensor hardware and novel machine learning models.
Your primary responsibilities will include:
- Data Preparation: Clean, normalize, and transform raw sensor data for model training and evaluation.
- Model Development: Design, develop, and refine machine learning models to analyze acoustic sensor data.
- Algorithm Optimization: Optimize algorithms for performance, accuracy, and scalability.
- Collaboration: Work with our cross-functional team to integrate ML models with sensor hardware and field applications.
- Research: Stay current with advancements in machine learning, AI, and acoustic analysis.
- Deployment: Develop production-level code for deploying ML models to devices and cloud platforms.
- Data Architecture: Design, build, and maintain data architecture.
- Software Development: Build a beta application for commercial trial users.
- Documentation: Create comprehensive documentation for data architecture, model design, and deployment processes.
To be successful in this role, you should have:
- A Master's or PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field.
- At least 3 years of experience in signal processing and machine learning engineering, with a track record of deploying models in production environments.
We offer a competitive salary of $150,000 per year and a comprehensive benefits package, including health insurance, retirement plans, and paid time off. Join us in making a difference in the world through innovative technology solutions.