ZipRecruiter

Log In

1

Intern Computer Vision Deep Learning Engineer Jobs in Georgia

Aveva

Software Engineering Intern

Alpharetta, GA · On-site

Built on deep industry expertise and best practice, and with our people at the heart of everything ... learning approaches (e.g., natural language processing, computer vision, predictive modeling)

Autodesk

Machine Learning Engineering Manager

Atlanta, GA

$148.50K - $266.20K/yr

Experience training deep neural nets, such as CNN and transformers and proficiency in least one ... Strong fundamentals in 3D geometry and geometric computer vision * Exposure to Cloud Computing in ...

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site

$117.80K - $155.30K/yr

... deep learning techniques using PyTorch for appropriate use cases alongside scikit-learn-based ... Computer Science, Data Science, Software Engineering, or a related technical field required.

next page

Showing results 1-20

People also search for

All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Georgia

Intern Computer Vision Deep Learning Engineer information

What are the key skills and qualifications needed to thrive as an Intern Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.

What types of projects or tasks can I expect to work on as an Intern Computer Vision Deep Learning Engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What does an Intern Computer Vision Deep Learning Engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Georgia? The most popular types of Computer Vision Deep Learning Engineer jobs in Georgia are:
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Georgia? For Intern Computer Vision Deep Learning Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Georgia look for? The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Georgia are:
Intern Computer Vision Deep Learning Engineer jobs near you

Software Engineering Intern

Aveva

Alpharetta, GA • On-site

Full-time

Posted 13 days ago

Job description

Driven by transformative digital technologies and trends, we are RIB and we've made it our purpose to propel the industry forward and make engineering and construction more efficient and sustainable. Built on deep industry expertise and best practice, and with our people at the heart of everything we do, we deliver the world's leading end-to-end lifecycle solutions that empower our industry to build better.

With a steadfast commitment to innovation and a keen eye on the future, RIB comprises over 2,500 talented individuals who extend our software's reach to over 100 countries worldwide. We are experienced experts and professionals from different cultures and backgrounds and we collaborate closely to provide transformative software products, innovative thinking and professional services to our global market. Our strong teams across the globe enable sustainable product investment and enhancements, to keep our clients at the cutting-edge of engineering, infrastructure and construction technology.

We know our people are our success - join us to be part of a global force that uses innovation to enhance the way the world builds.

Find out more at RIB Careers.

Job Title: Software Engineering Intern

Location: Alpharetta, GA, USA- Hybrid

Employment Type: full-time Summer Intern

As a Software Engineering & AI Intern, you'll play a crucial role in developing and implementing software, data, and artificial intelligence solutions for SpecLink. You'll collaborate with our Technology/Product leaders, Software Engineering, and AI teams to contribute to the development of microservices and AI-powered proof-of-concepts. This internship offers a unique opportunity to apply your skills in a real world setting, contributing to projects that deliver tangible value to SpecLink users.

Responsibilities:

  • Contribute to the development of clean, efficient, and well-documented code for AI applications and integrate machine learning models into existing SpecLink systems.

  • Develop data pipelines for efficient data ingestion and transformation.

  • Analyze model performance metrics and identify areas for improvement.

  • Optimize AI models and software applications for performance and efficiency.

  • Clean, label, and pre-process large datasets for training and evaluating AI and machine learning models. Assist in evaluating and experimenting with various AI technologies and machine learning approaches (e.g., natural language processing, computer vision, predictive modeling).

  • Contribute to the research and development of innovative AI solutions for SpecLink. Participate in the testing and debugging of software applications and AI solutions, ensuring high-quality and reliable performance.

  • Document development processes, code, and AI model specifications.

  • Prepare and present clear and concise reports, demonstrations, and findings to the team.

  • Participate in agile development meetings.


Qualifications:

  • Currently pursuing a Bachelor's or Master's degree in computer science, Software Engineering, Artificial Intelligence, or a related field.

  • Strong programming skills in languages such as Python, .Net/C#, SQL Familiarity with developing end-to-end AI/ML solutions leveraging machine learning concepts such as OpenAI, Gemini APIs, RAG, GraphRAG.

  • Basic understanding of data structures and algorithms.

  • Excellent problem-solving and analytical skills.

  • Strong communication and teamwork abilities.

  • Familiarity with cloud platforms such as Microsoft Azure is a plus.

  • Experience with Microservices architecture is a plus

RIB may require all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria.

RIB is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.

Come and join RIB to create the transformative technology that enables our customers to build a better world.

Apply