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Intern Computer Vision Deep Learning Engineer Jobs in Saint Louis, MO

Bayer AG

US - IT Data Scientist (Mid)

Creve Coeur, MO · On-site

... level programming languages with hands-on experience using machine learning and deep learning ... D. in Data Science, Computer Vision, Machine Learning, Imagery or Robotics; or MS with 4+ years of ...

Brooksource

MLE II

Saint Louis, MO · On-site

$50 - $55/hr

... modern software engineering best practices. * Familiarity with deep learning concepts and ... Medical, Dental & Vision Plans * Relationship-Driven Process to Find Your Best Fit * 6 Paid ...

CACI

AI Engineer

O Fallon, IL · On-site

$82K - $172K/yr

... with deep learning frameworks (e.g., TensorFlow, PyTorch) Knowledge of natural language processing (NLP) and computer vision Familiarity with DevOps practices and tools Experience with agile ...

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How much do intern computer vision deep learning engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for intern computer vision deep learning engineer in Saint Louis, MO is $16.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.70 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an intern computer vision deep learning engineer?

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 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 Saint Louis, MO?

The most popular types of Computer Vision Deep Learning Engineer jobs in Saint Louis, MO are:

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Intern Computer Vision Deep Learning Engineer jobs near you

US - IT Data Scientist (Mid)

Creve Coeur, MO • On-site

Bayer AG
See more jobs at Bayer AGexternal

Other

Posted 4 days ago

Job description

We are seeking a highly skilled and experienced individual to join our dynamic team as a Data Scientist. This role requires a strong background in machine learning, deep learning, and image processing, particularly with imagery such as remote sensing and plant phenotyping imaging. The successful candidate will utilize advanced techniques to develop predictive models that drive data-informed decision-making in Bayer's agricultural operations. Collaboration with scientists from various disciplines, as well as IT and engineering professionals, will be essential to deliver innovative analytics that align with our mission of "Health for all and Hunger for none."

Responsibilities:
  • Leverage expertise in image analysis, statistical analysis, machine learning, and deep learning models to analyze complex imagery data and develop actionable insights for agricultural operations.
  • Write comprehensive model documentation detailing problem formulation, modeling approach, validation, data requirements, and implementation steps.
  • Adhere to data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility.
  • Build cross-functional relationships to partner with business stakeholders and collaborate with Bayer’s Data Science community to co-develop innovative solutions.
  • Communicate results to key stakeholders in a clear and compelling manner.
Skills:
  • Strong understanding of machine learning and deep learning frameworks, statistical concepts, and data analysis techniques.
  • Proficiency in Python or other high-level programming languages with hands-on experience using machine learning and deep learning libraries (e.g., OpenCV, TensorFlow, PyTorch).
  • Familiarity with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure) for data processing and model deployment.
  • Excellent communication skills with the ability to explain technical concepts to non-experts.
  • High sense of ownership and motivation to deliver valuable analysis.
Qualifications:
  • Ph.D. in Data Science, Computer Vision, Machine Learning, Imagery or Robotics; or MS with 4+ years of post-MS experience in a related field.
  • Experience working with imagery and deriving insights from it (such as remote sensing data and phenotyping imaging). Familiarity with analytical techniques specific to image analysis is essential; experience in plant phenotyping image analysis is a significant advantage.

This is an exciting opportunity to make a meaningful impact on agricultural operations through innovative analytics at Bayer. Join us in our mission to create a sustainable future while advancing your career in a collaborative environment where your expertise will be valued and utilized effectively.

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