Senior Engineering Geologist managing technical excellence and client satisfaction in collaborative infrastructure consultancy. Focused on project management, analysis, and design across multidisciplinary teams.
About the role
- 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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
PLM Software Developer working on integrated software solutions for Engineering Industries eXcellence S.p.A. Collaborating with cross - functional teams on major projects across various industries.
Chief Software Architect leading enterprise software architecture for DoD missions at Leidos. Driving cloud architectures and ensuring security and scalability while mentoring technical teams.
Data Integration Software Developer for the GAINS project, integrating data using Kafka and Elastic. Collaborating in an Agile environment with strong emphasis on innovation and growth.
Full - stack software engineer developing features for Hercules’ AI applications. Collaborating on software design, coding, and release management for innovative technologies.
Senior Engineer joining Product Engineering team at Iress, focusing on building and evolving critical financial systems. Collaborating with a high - performing backend engineering team to enhance software performance and reliability.
Engineer enhancing productivity and reliability for DevOps at AI startup in Japan. Focused on automation, observability, and integrating AI into development workflows.
Software Engineer specializing in React Native for Front’s B2B customer operations platform. Enhancing mobile app performance and collaborating with cross - functional teams.
Intermediate Full Stack Engineer collaborating with cross - functional teams at Solink. Engaging in building high - impact technology and driving software best practices.
Software Engineer developing and enhancing Salesforce Sales/Health Cloud functionality with a focus on health services. Collaborating with cross - functional teams to support and integrate Salesforce solutions within primary care.