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Intern Computer Vision Deep Learning Engineer Jobs in Kentucky

$90 - $200/hr

Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision). * Knowledge of DevOps and ...

Execute on the technical vision for development of AI solutions and delivery of AI features to ... Crowe uses its deep industry expertise to provide audit services to public and private entities ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

Execute on the technical vision for development of AI solutions and delivery of AI features to ... Crowe uses its deep industry expertise to provide audit services to public and private entities ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Showing results 41-60

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 popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Kentucky?

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

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

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

Physical AI Senior Engineer

Toyota Deutschland GmbH

Georgetown, KY • On-site

$110 - $150/hr

Other

Medical, Retirement, PTO

Posted 5 days ago


Job description

OverviewWho we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us.

Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, ‘job flexibility benefits’ [also known as I-140 or Adjustment of Status portability], etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.

Who we’re looking for

Toyota’sManufacturing Innovation & Transformation (MIT) – Manufacturing Center of Excellence is looking for a passionate and highly motivatedPhysical AI Senior Engineer

The primary responsibility of this role is to develop and implement innovative activities, improving manufacturing competitiveness and reducing fixed costs in North America

Reporting to the MIT Manager, the person in this role will support the Production Engineering Division and SOAR Group’s objective to improve manufacturing competitiveness.

Reporting to the Engineering Manager the person in this role will support the Advanced Technology department’s objective to learn and confirm innovative technologies for vehicle manufacturing.

What you’ll be doing
  • Integrate and deploy AI-enabled robotic solutions to improve manufacturing capability, flexibility, and performance.

  • Develop and implement computer vision, machine learning, and sensor fusion solutions for real-world manufacturing applications (e.g., bin picking, part handling, inspection).

  • Build and optimize AI models for robust performance on industrial hardware, balancing latency, reliability, and compute constraints.

  • Bridge the gap between modern AI Python scripts and standard industrial automation.

  • Utilize simulation tools (e.g., Isaac Sim, MuJoCo, or equivalent) to support concept validation, synthetic data generation, and Sim2Real deployment.

  • Lead and support equipment trials, debugging, and performance validation from proof-of-concept through production deployment (yokoten).

  • Collaborate cross-functionally with robotics engineers, controls engineers, and plant manufacturing teams to integrate AI into production systems.

  • Identify, evaluate, and implement emerging Physical AI technologies through benchmarking, supplier engagement, and industry events.

  • Ensure solutions meet safety, reliability, and manufacturability requirements, including alignment with applicable standards and internal risk assessments.

  • Present technical concepts, results, and recommendations to stakeholders, management, and executive leadership.

  • Manage contractors to design and construct testing cells.

  • Produce clear, detailed documentation to support future scaling and customer enablement.

What you bring
  • Bachelor’s or master’s degree in Robotics, Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, or related technical field (or equivalent experience).

  • Demonstrated experience with manufacturing automation deployments.

  • Experience in robotics, AI/ML, or advanced automation development.

  • Having a full-stack mindset while working in team environments building complete solutions, not just independent AI algorithms, demonstrations, and experiments.

  • Strong hands-on experience in at least two of the following:

    • Computer vision (e.g., detection, segmentation, 3D perception)

    • Machine learning / deep learning

    • Robotics

  • Proficiency in Python, C++, ROS-based systems; strong software engineering fundamentals.

  • Deep understanding of different sensor types (RGBD cameras, LiDAR, Time-of-Flight sensors, etc.) and the ability to tune for image quality accuracy and performance.

What you may bring
  • Experience with simulation environments (e.g., Isaac Sim, MuJoCo, Gazebo,

  • or similar).

  • Experience with reinforcement learning, imitation learning, or advanced robotics AI techniques.

  • Experience with data collection strategies, including synthetic data or teleoperation-assisted learning.

  • Exposure to industrial robot programming, PLC integration, or manufacturing systems.

  • Experience working in a high-volume manufacturing environment, preferably automotive.

  • Familiarity with relevant robot safety standards (ANSI/RIA, ISO).

What we’ll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:

  • A work environment built on teamwork, flexibility, and respect.

  • Professional growth and development programs to help advance your career, as well as tuition reimbursement.

  • Team Member Vehicle Purchase Discount.

  • Toyota Team Member Lease Vehicle Program (if applicable).

  • Comprehensive health care and wellness plans for your entire family.

  • Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute (if applicable).

  • Paid holidays and paid time off.

  • Referral services related to prenatal services, adoption, childcare, schools, and more.

  • Tax-Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA).

  • Relocation assistance (if applicable).


Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.


Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.


Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.

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