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Intern Computer Vision Deep Learning Engineer Jobs in Kentucky

$200 - $250/hr

The role combines deep ML expertise with strong software engineering -- owning models from research through scaled inference. Key Responsibilities * Design, train, and deploy machine learning models ...

$150 - $200/hr

... Deep Learning and Computer Vision. * 3+ years of hands‑on experience with Generative AI for ... Strong software engineering fundamentals with production‑quality code. * Solid understanding of ...

$250/hr

We are seeking an exceptional Senior Perception Engineer to help design and productize NVIDIA ... Strong publication record or recognized contributions in deep learning, computer vision, or ...

$200 - $250/hr

Software Engineering Mountain View, CA, Pittsburgh, PA, Seattle, WA Staff Software Engineer ... Working knowledge in one or more focus areas of ML: deep learning, computer vision, recursive state ...

$150 - $200/hr

Simbe combines robotics, computer vision, machine learning, data infrastructure, and customer ... The right person isa strong ML engineer, an exceptional software engineer, and a practical builder ...

$150 - $200/hr

Deep Tech, AI/ML, Hardware, SaaS, and IoT. For the past five years, we have built a nearly ... Our toolbox spans the full range, from traditional computer vision algorithms to custom-trained ...

New

$150 - $200/hr

As an AI/ML Engineer, you will leverage our extensive data lake to architect and deploy cutting ... Strong background in Computer Vision (CV), Core Deep Learning, and Neural Architectures.

$250/hr

... learning engineering * strong expertise in deep neural networks and modern training workflows * 8 years + Hands-on experience with computer vision and/or audio modeling * Proficiency in Python and ...

$80 - $100/hr

... and vision-language models (LLMs/VLMs), multimodal understanding, reinforcement learning, and ... Currently pursuing a PhD in Computer Science, Electrical Engineering, Mathematics, Statistics or a ...

$250/hr

PhD degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field ... Deep expertise in one or more of the following: loss engineering for business objectives, joint ...

$100 - $125/hr

... computer vision, and deployments in complex environments * Deep expertise in artificial ... Collaborate with machine learning, software engineering, product development, sales, and cross ...

$150 - $200/hr

... deep learning, incluyendo su uso en entornos productivos. * (Excluyente) Conocimiento profundo de fundamentos estadísticos, álgebra lineal, optimización y de los algoritmos de ML clásicos y ...

New

$200 - $250/hr

You will need to deep dive into the product and the code to understand and contribute to solutions ... Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field ...

$200 - $250/hr

Machine Learning Video Processing Engineer Cupertino, California, United States Hardware Imagine ... Project experience on low level computer vision algorithms such as spatial/temporal filtering ...

$150 - $200/hr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field ... Artificial Neural Networks (ANN) and deep learning concepts. * Model evaluation, feature ...

$150 - $200/hr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... deep learning, computer vision, image processing* Familiar with one of common deep learning ...

$150 - $200/hr

As an AI/ML Engineer, you will leverage our extensive data lake to architect and deploy cutting ... Strong background in Computer Vision (CV), Core Deep Learning, and Neural Architectures.

$200 - $250/hr

... computer vision and machine learning (CVML). As a research scientist at Axon you will play a ... You will collaborate with product managers, engineers and cross-functional teams to train models ...

$200 - $250/hr

As a Senior Machine Learning Engineer, you will drive hands-on engineering and modeling for Defense ... You'll implement novel embeddings-based change detection and advanced computer vision techniques.

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:

Senior Machine Learning Engineer

On-site

$200 - $250/hr

Other

Posted 5 days ago


Job description

Python PyTorch TensorFlow AWS GCP

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud.

  • Role: Senior Machine Learning Engineer
  • Location: Remote
  • Employment Type: Full-time

Compensation: Competitive salary commensurate with experience, qualifications, and location. Indicative range: $150,000 – $250,000 (USD equivalent), plus benefits.

Role Overview

We are hiring a Senior Machine Learning Engineer to lead the design, training, and deployment of ML systems in production. The role combines deep ML expertise with strong software engineering — owning models from research through scaled inference.

Key Responsibilities
  • Design, train, and deploy machine learning models at production scale
  • Lead architecture decisions for training, evaluation, and inference pipelines
  • Build evaluation frameworks and monitoring for model quality and drift
  • Partner with data engineering on training data pipelines and feature stores
  • Mentor junior ML engineers and contribute to ML practice
  • Stay current on research and bring proven techniques into production
Required Skills and Qualifications
  • 5+ years in machine learning engineering with production ownership
  • Strong Python skills and deep experience with PyTorch or TensorFlow
  • Experience training and serving models at scale (deep learning, LLMs, or classical ML)
  • Hands-on with cloud ML infrastructure (AWS Sagemaker, GCP Vertex, Databricks, or similar)
  • Strong software engineering fundamentals (testing, code review, system design)
  • Track record of shipping ML systems that delivered measurable business value
What You'll Bring
  • Curiosity about how models behave and why they fail
  • Rigor in following guidelines and flagging ambiguity early
  • Strong written communication, including ability to document findings clearly
  • Comfort working asynchronously across time zones
What We Offer
  • Fully remote, flexible work hours
  • Performance-based bonus structure
  • Annual learning & development stipend
  • Health and wellness benefits (varies by location)
  • Opportunity to work on high-scale, real-world impact projects
Equal Opportunity Statement

This is an equal opportunity role. Applications are welcomed from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are based solely on qualifications, skills, and demonstrated ability.

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