Machine Learning Applied Scientist at Sixone

Transform the recycling landscape with Sixone as an Applied Scientist focusing on machine learning systems. Engage in hybrid work to develop actionable insights from complex data types.

This role at Sixone emphasizes building end-to-end machine learning systems for recycling applications.

You'll work with spectral, hyperspectral, and imaging data while developing models that link sensor inputs to practical outcomes. Key responsibilities include sensor data calibration, model deployment, and data quality assessments in a collaborative environment.

Key Responsibilities:

• Build data pipelines for cameras and sensors

• Develop algorithms for classification and anomaly detection

• Design multimodal models connecting sensor data

• Deploy models into production environments

• Maintain calibration standards for imaging sensors

Requirements:

• Bachelor's or Master's in Computer Science or related field

• Proficiency in Python and Py Torch

• Experience with high-dimensional data types

• Familiarity with cloud infrastructure, preferably AWS

• Effective communication skills with diverse stakeholders

Bring your machine learning expertise to Sixone and help innovate sustainable recycling solutions.
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