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Intern Computer Vision Deep Learning Engineer Jobs in Florida

Prophecy Technologies

Generative AI Engineer

Tampa, FL · On-site

The role is for an AI Engineer focused on designing, developing, and implementing machine learning ... Build and optimize deep learning, NLP, or computer vision models depending on project requirements.

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL · On-site

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and ...

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

Intern Computer Vision Deep Learning Engineer information

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 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 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.
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Intern Computer Vision Deep Learning Engineer jobs near you

Deep Learning Robot Manipulation Engineer

Persona AI

Pensacola, FL • On-site

Full-time

Posted 23 hours ago

Job description

We're looking for a Deep Learning Manipulation Engineer to help train Persona AI robots to do real work in real world environments. We're looking for exceptional people who dream big, thrive on challenges, and love seeing their efforts come to life. We are primarily interested in candidates who have developed and released products to the market, but can be flexible depending on aptitude and energy.
As one of the inaugural Deep Learning Manipulation Engineers at Persona, you will have an incredible opportunity to get in at the beginning to shape the design and development of Persona's deep learning and manipulation strategy and infrastructure. If you're passionate about cutting-edge technology and want to be part of a world-class team we'd love to hear from you.
Your Role:
  • Design and implement advanced deep learning models and training procedures to achieve dexterous manipulation for humanoid robots with high DOF and multi-fingered hands.
  • Train models, using curriculum learning strategies, to progress from simple object interactions to precise grasping, long-horizon tasks, tool-use, and in-hand object manipulation.
  • Incorporate tactile sensing and proprioception into end-to-end learning pipelines, enabling robust closed-loop policies.
  • Work with the teleoperation and data team to design data collection and versioning strategies.
  • Leverage existing state-of-the-art manipulation models and contribute to the development of new architectures for emerging complex tasks.
  • Deploy trained manipulation models to robotic hardware, ensuring real-time performance, safety, and integration with control systems and sensors.
  • Collaboratively develop and optimize the manipulation ML pipeline.
  • Keep up to date with the state of the art in research and development.
  • Develop and execute evaluation pipelines to rigorously test learned manipulation models, including real-world trials and simulation, measuring performance, robustness, and generalization across tasks and environments.
  • Collaborate in attracting, nurturing and growing the machine learning and autonomy teams.

We're Looking For:
  • Courage and grit to tackle some of the hardest problems in robot manipulation.
  • Enthusiasm for working collaboratively in fast paced ambiguous environments.
  • Masters or PhD in Robotics, Computer Science, or a related field.
  • 3+ years of experience in applying deep learning to robotic manipulation.
  • Strong understanding and proficiency with state of the art algorithms and best-practices in behavior cloning, vision-language-action models, diffusion policies, foundation models, etc.
  • Experience with cloud computing and large-scale datasets.
  • Understanding of the challenges of deploying neural network models in the real world.
  • Capable of writing high quality software.
  • Strong first principles thinker.

Preferred or Bonus Qualifications:
  • Experience with other aspects of ML applied to robotics, including computer vision algorithms, sensors, point clouds, segmentation and object detection.
  • Published papers at top ML/Robotics conferences (ICML, ICRA, CoRL, RSS, NeurIPS).
  • Have deployed robots, collected large amounts of data, and trained large neural networks that work in production environments.

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