Intern supporting software development in a small team focused on developing CV solutions for enhancing metals recycling processes. Uniting materials and software engineering approaches for innovative R&D.
Responsibilities
Greenfield R&D, building out object detection, segmentation, and classification model solutions for our CV products
Lead the improvement of data management workflows, including data collection, cleaning, labeling, and storage
Implement proof-of-concept models and algorithms, build case studies for analytical solutions, and contribute to new feature development of new and existing products
Perform exploratory data analysis and statistical analysis in Python and SQL
Collaborate with the software and product team to ideate and iterate upon building practical analytical solutions to solve problems in the metals recycling domain
Work independently to identify, scope, and solve technical challenges with minimal supervision
Requirements
Computer Science Fundamentals - strong understanding of data structures and algorithms
Problem-Solving > Tool Usage - strong proficiency in Python with ability to architect solutions using data science libraries
Autonomy with Uncleaned Data - proven ability to work with unclean data from various sources
Machine Learning Fundamentals - understanding of basic machine learning algorithms and model evaluation techniques
Clear Communication - ability to clearly communicate technical concepts
You are an MA resident or a full-time student at a University in MA
You have completed your first undergraduate year or have obtained 24 credits
You are perusing a degree in computer, data, or mathematical sciences (or a related field)
Experience with our web stack or similar technologies (C#, TypeScript, React)
Experience working with image data or computer vision tasks
Background or knowledge in statistics, probability, and/or mathematics
Experience with SQL and database systems
Git version control experience
Benefits
Paid internship/co-op position ($24-36/hour)
Opportunity for future full-time employment post-internship
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