Applied Scientist in Machine Learning Technology

Advance your career with Sixone as an Applied Scientist, blending machine learning with environmental sustainability. This hybrid role requires innovative thinking to enhance recycling processes through advanced analytics.

In this hands-on position, you'll focus on developing and deploying machine learning models from complex data, including spectral and imaging sources. Collaborate with cross-functional teams to ensure data quality and consistency while building models that drive real-world applications in recycling.

Key Responsibilities:

• Develop and maintain data pipelines for sensor inputs

• Create algorithms for feature extraction and representation

• Design models linking data to process outcomes

• Ensure data quality and establish calibration standards

• Conduct statistical evaluations and implement data requirements

Requirements:

• Degree in Computer Science, Engineering, or similar

• Strong skills in Python and Py Torch

• Background in high-dimensional data analysis

• Experience in building cloud-based data pipelines

• Excellent communication with both technical teams and stakeholders

Join Sixone to leverage ML for a sustainable future in recycling.
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