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Internship Machine Vision Engineer Jobs in Connecticut

Intellectt INC

Validation Engineer

North Haven, CT · On-site

Troubleshoot complex automated systems including robotics, motion control, and machine vision ... engineering/validation experience (8+ with Master's) * Strong expertise in medical device process ...

Quora

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Quora

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Quora

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Quora

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Quora

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Quora

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Quora

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

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All JobsMachine Vision Engineer JobsInternship Machine Vision Engineer JobsInternship Machine Vision Engineer Jobs in Connecticut

Internship Machine Vision Engineer information

What types of projects do Internship Machine Vision Engineers typically work on, and how do they collaborate within the team?

As an Internship Machine Vision Engineer, you will often be involved in projects that focus on developing and testing computer vision algorithms, working with image processing tools, and supporting the integration of machine vision systems into larger automation solutions. You’ll collaborate closely with senior engineers, software developers, and sometimes hardware teams to validate solutions and troubleshoot issues. Regular meetings, code reviews, and shared project management tools help ensure smooth communication and learning opportunities, fostering both technical growth and teamwork.

What are the key skills and qualifications needed to thrive as an Internship Machine Vision Engineer, and why are they important?

To thrive as an Internship Machine Vision Engineer, you generally need a background in computer science, electrical engineering, or a related field, with foundational knowledge in image processing and computer vision algorithms. Familiarity with programming languages such as Python or C++, experience with tools like OpenCV, and exposure to machine learning frameworks are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are the soft skills that set outstanding candidates apart. These competencies are crucial for efficiently developing, testing, and deploying vision solutions that address real-world automation and inspection challenges.

What does an Internship Machine Vision Engineer do?

An Internship Machine Vision Engineer assists in developing and implementing computer vision algorithms to enable machines or robots to interpret visual data. Their tasks often include image processing, object detection, camera calibration, and working with various sensors. Interns typically support senior engineers in testing, data collection, and model optimization, gaining hands-on experience with real-world applications. This role offers valuable exposure to fields like automation, robotics, and artificial intelligence, helping interns build a foundation for a career in machine vision.
What are popular job titles related to Internship Machine Vision Engineer jobs in Connecticut? For Internship Machine Vision Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Internship Machine Vision Engineer jobs in Connecticut look for? The top searched job categories for Internship Machine Vision Engineer jobs in Connecticut are:
Internship Machine Vision Engineer jobs near you
Data Science Machine Learning Internship (Summer 2027)

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

Full-time

Posted 6 days ago

Job description

Application Deadline: September 1, 11:59pm EST
Program Summary - Commercial Technology Internships
Company Overview:
Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.
Position Overview:
CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.
Responsibilities:
  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:
  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

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