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Intern Computer Vision Deep Learning Engineer Jobs in Indio, CA

Granite

Sr. Project Engineer

Indio, CA

$96K - $144K/yr

The employee frequently is required to stand, walk, sit and use hands to operate a computer ... Specific vision abilities required by this job include close vision, and ability to adjust focus.

City of Cathedral City, CA

GIS ENGINEER

Cathedral City, CA · On-site

$7.9K - $10K/mo

Graduation from an accredited college or university with a Bachelor's degree in Computer Science ... We offer paid health, dental, and vision plans; CalPERS benefits; deferred compensation match; paid ...

AGUA CALIENTE

Senior Planner (36137)

Palm Springs, CA · On-site

Perform reviews on environmental documents, conditions of approval, building and engineering plans ... Department Intern, Assistant or Associate Planner ACCESS TO SENSITIVE AREAS AND INFORMATION ...

Triunity Software

Java Developer

Palm Springs, CA · On-site

$80K - $110K/yr

Be it expert or intern Triunity always always value its own people and give them platform to excel ... We always motivate our people to keep learning new technologies and also give them platform where ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Indio, CA

Intern Computer Vision Deep Learning Engineer information

See Indio, CA salary details

$9

$17

$24

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

As of Aug 5, 2026, the average hourly pay for intern computer vision deep learning engineer in Indio, CA is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $14.81 and $19.71 per hour, depending on experience, location, and employer.

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?

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 cities near Indio, CA are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities near Indio, CA with the most Intern Computer Vision Deep Learning Engineer job openings:
Intern Computer Vision Deep Learning Engineer jobs near you

Industry Account Executive - Middle East

Avathon

Mecca, CA

Full-time

Posted 8 days ago

Job description

Who We Are & Why Join Us

Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.

Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.

Learn more at: avathon.com

Who We Are

Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries — energy, mining, manufacturing, aerospace, defense, and logistics — accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.

Learn more at avathon.com.

About the Role

Avathon is scaling its go-to-market presence across the Middle East and is hiring a regional Account Executive to drive new business across Oil & Gas, Utilities, and Power Generation, Transportation and other industry accounts throughout the GCC, with a primary focus on supporting Saudi Arabia coverage.

You will report to the Vice President of Strategic Sales and partner closely day-to-day with Avathon's Saudi Enterprise Sales Manager to build pipeline, run consultative sales cycles, and position Avathon's Industrial AI platform with regional leaders.

Responsibilities

  • Lead outbound customer engagement across prospective Oil & Gas, Utilities, and Power Generation accounts in the UAE, Bahrain, Qatar, Kuwait, and Saudi Arabia.
  • Build and maintain relationships with customer stakeholders, coordinating strategic meetings, executive briefings, and follow-ups.
  • Travel regularly to Saudi Arabia (approximately 30–50% of time) to support in-Kingdom account activity alongside Avathon's Saudi National Enterprise Sales Manager.
  • Leverage Avathon's established channel partnerships and go-to-market strategy to expand regional pipeline.
  • Build compelling business cases around operational improvement, asset optimization, production efficiency, and reliability for Oil & Gas customers.
  • Learn and articulate Avathon's AI platform, value proposition, and Oil & Gas use cases to prospective customers.
  • Maintain accurate customer and pipeline data in Salesforce and HubSpot.
  • Collaborate cross-functionally with marketing, sales, product, and forward-deployed engineering teams.

Qualifications

  • 5–10+ years in a customer-facing sales, account management, or business development role — ideally in Oil & Gas or Energy; strong Tech/SaaS sales backgrounds also considered.
  • Based in, or willing to relocate to, the UAE, Bahrain, or another GCC hub, with ability to travel regularly (~30–50%) to Saudi Arabia.
  • Arabic speaking preferred; English fluency required.
  • Strong communication skills with confidence engaging senior operational and executive stakeholders.
  • Existing network in regional Oil & Gas accounts is a plus
  • Bachelor's degree
  • Valid passport and ability to obtain visas/travel documentation for regional travel, including Saudi Arabia business-visit visas.

Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.

Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.