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Intern Computer Vision Deep Learning Engineer Jobs in Missouri

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... applications of computer vision Must Have Experience * Experience with deep learning and ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... applications of computer vision Must Have Experience * Experience with deep learning and ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... applications of computer vision Must Have Experience * Experience with deep learning and ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... applications of computer vision Must Have Experience * Experience with deep learning and ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... applications of computer vision Must Have Experience * Experience with deep learning and ...

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Intern Computer Vision Deep Learning Engineer information

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 Missouri?

The most popular types of Computer Vision Deep Learning Engineer jobs in Missouri are:

What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Missouri?

For Intern Computer Vision Deep Learning Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Missouri look for?

The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Missouri are:

What cities in Missouri are hiring for Intern Computer Vision Deep Learning Engineer jobs?

Cities in Missouri with the most Intern Computer Vision Deep Learning Engineer job openings:

Intern Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Planning & Prediction Deep Learning Engineer

California, MO • On-site

well-funded deeptech startup
See more jobs at well-funded deeptech startupexternal

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This job post has expired today. Applications are no longer accepted.

Job description

Planning & Prediction Deep Learning Engineer – Santa Clara, CA – Up To $350,000 + RSUs

The company is a leading organization dedicated to creating intelligent, connected, and sustainable transportation solutions. The company is committed to pushing the boundaries of innovation and technology to shape the future of mobility. With its cutting-edge autonomous driving technology, the company is at the forefront of the EV revolution.

Job Description

The company is seeking a talented and highly motivated Deep Learning Engineer to join its rapidly growing autonomous driving team. As a Deep Learning Engineer, the selected candidate will play a pivotal role in the development and optimization of autonomous driving systems. Their work will directly impact the evolution of smart and efficient vehicles, contributing to the advancement of the automotive industry.

Responsibilities
  • Design, develop, and optimize deep learning models for planning and prediction in autonomous driving systems.
  • Implement state-of-the-art algorithms for object detection, motion prediction, and behavior planning.
  • Collaborate with cross-functional teams to integrate deep learning models into the autonomous driving stack.
  • Conduct research to stay updated on the latest advancements in deep learning and apply them to enhance autonomous driving capabilities.
  • Analyze and process sensor data to improve decision-making processes.
  • Continuously evaluate and refine the performance of deep learning models to meet safety and efficiency standards.
  • Participate in data collection and annotation efforts to support model training.
  • Contribute to the development of simulation environments for testing and validation.
Qualifications
  • A bachelor’s, master’s, or Ph.D. in Computer Science, Electrical Engineering, or a related field.
  • Strong proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.
  • Proven experience in developing and deploying deep learning models for planning and prediction tasks.
  • Familiarity with autonomous driving systems and relevant sensor technologies.
  • Solid programming skills in languages such as Python and C++.
  • Strong problem-solving abilities and a commitment to innovation.
  • Excellent teamwork and communication skills.
  • Experience with simulation tools for autonomous driving, such as CARLA, is a plus.
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