ZipRecruiter

Log In

1

Intern Computer Vision Deep Learning Engineer Jobs in Utah

Outsmart

Faculty Lead & Learning Engineer - Sciences

Lehi, UT · On-site

$96.20K - $126.70K/yr

Deep disciplinary expertise in one or more core sciences; comfortable stewarding courses across the ... Competitive salary and equity * Healthcare for you and your dependents (medical, dental, and vision)

UVeye

CAD Engineer

Magna, UT · On-site +1

$60K - $80K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... We are seeking an experienced CAD Engineer to join the US Implementation Team. In this role, you ...

Jade Global

Data/Ai Engineer Intern

Ogden, UT · On-site

... learning and growing both technically and as a person * Exposure to NLP, Computer Vision, or ... Deep understanding of proven analytics and AI tools * Career growth opportunities within the Data ...

Jade Global

Data/Ai Engineer Intern

Ogden, UT

... learning and growing both technically and as a person * Exposure to NLP, Computer Vision, or ... Deep understanding of proven analytics and AI tools * Career growth opportunities within the Data ...

Jade Global

Integration Analyst Intern

Ogden, UT · On-site

... learning and growing both technically and as a person * Exposure to NLP, Computer Vision, or ... Deep understanding of proven integration tools * Career growth opportunities within the Data & AI ...

Jade Global

Integration Analyst Intern

Ogden, UT

... learning and growing both technically and as a person * Exposure to NLP, Computer Vision, or ... Deep understanding of proven integration tools * Career growth opportunities within the Data & AI ...

NOV, Inc.

Computer Engineering Intern

Provo, UT

$16 - $20.75/hr

Role Summary We're looking for a Computer Engineering Intern to support both our R&D and Sustaining ... Comfortable working in a lab environment and learning hands-on debugging * Able to communicate ...

NOV, Inc.

Computer Engineering Intern

Provo, UT · On-site

$16 - $20.75/hr

Role Summary We're looking for a Computer Engineering Intern to support both our R&D and Sustaining ... Comfortable working in a lab environment and learning hands-on debugging * Able to communicate ...

Graco, Inc.

Manufacturing Engineer Intern

Kamas, UT · On-site

$16.75 - $21.75/hr

You'll also take part in events designed to support both your learning and personal development ... Experience with CAD software such as AutoCAD * Experience with 3D printers Mechanical Engineer ...

Graco

Manufacturing Engineer Intern

Kamas, UT · On-site

$16.75 - $21.75/hr

You'll also take part in events designed to support both your learning and personal development ... Experience with CAD software such as AutoCAD * Experience with 3D printers Mechanical Engineer ...

Graco, Inc.

Manufacturing Engineer Intern

Kamas, UT · On-site

$16.75 - $21.75/hr

You'll also take part in events designed to support both your learning and personal development ... Experience with CAD software such as AutoCAD * Experience with 3D printers Mechanical Engineer ...

Tesla

Data Labeler

Draper, UT · On-site

... deep learning network. The role involves using in-house tools to label data from vehicles and ... computer vision and machine learning knowledge to better understand how the labels are used by our ...

Outsmart

Faculty Lead & Learning Engineer - Math

Lehi, UT · On-site

$39.40K - $52.60K/yr

Deep disciplinary expertise in mathematics; comfortable stewarding courses across the broader math ... Competitive salary and equity * Healthcare for you and your dependents (medical, dental, and vision)

BILL

Senior Machine Learning Engineer

Draper, UT · On-site

$145.70K - $174.80K/yr

Working here means you become part of a vision-driven team that's ready to tackle challenges and ... As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and ...

Varsity Tutors

Machine Learning Tutor

Spanish Fork, UT · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Provo, UT · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Cedar City, UT · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Logan, UT · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

next page

Showing results 1-20

People also search for

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

Intern Computer Vision Deep Learning Engineer information

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.

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 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 Utah? The most popular types of Computer Vision Deep Learning Engineer jobs in Utah are:
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Utah? For Intern Computer Vision Deep Learning Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Utah look for? The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Utah are:
What cities in Utah are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities in Utah with the most Intern Computer Vision Deep Learning Engineer job openings:
Intern Computer Vision Deep Learning Engineer jobs near you
Faculty Lead & Learning Engineer - Sciences

Faculty Lead & Learning Engineer - Sciences

Outsmart

Lehi, UT • On-site

$96.20K - $126.70K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 29 days ago

Job description

Outsmart is a mission-driven, early-stage startup reimagining higher education for the age of AI by creating an entirely new collegiate experience that expands access and opportunity. Backed by $38M from top venture firms including Khosla Ventures, Forerunner, DST Global Partners, and Lightspeed, the company is led by former Duolingo executives and a founding team that also includes Emmy Award winners. With a strong culture centered around high-impact, detail-oriented team members, Outsmart is already seeing significant traction, generating 1-5 million weekly organic views on social media.
About the role
The Faculty Lead & Learning Engineer - Sciences is Outsmart's designated faculty member for undergraduate science-owning course design, development, and quality-across biology, chemistry, physics, geology, etc. (intro through advanced topics). You'll craft an engaging, rigorous, and fun science learning experience for students while setting the standard for science teaching in the AI era.
You'll bring the depth of an academic and the instincts of a builder. That means leveraging AI and modern tooling to design high-quality curriculum, virtual labs, and assessments at scale - and collaborating closely with learning designers, product, and engineering to bring it to fruition.
Location: Los Angeles, CA, San Francisco, CA, or Lehi, UT
Reporting: Works in close partnership with the Head of Academics & Learning Engineering and university academic leadership.
Qualities We're Seeking
  • Deep disciplinary expertise in one or more core sciences; comfortable stewarding courses across the broader science portfolio
  • Mastery of pedagogy, learning design, and assessment - and enthusiasm for AI-enabled teaching and learning
  • Builder mindset: resourceful, high energy, accountable, mission driven, student-obsessed; thrives in early-stage environments
  • Clear, direct communicator who collaborates well with designers, engineers, and product

What you'll do
  • Own the science curriculum: Design and develop courses across biology, chemistry, physics, and geology (intro → advanced) with clear learning outcomes and mastery-based progress
  • Design assessments (formative & summative)
  • Leverage AI & tooling to create interactive content (e.g., a virtual science lab) that improves engagement and efficacy
  • Collaborate with Learning Design, Product, and Engineering to ship high-quality, technology-enabled science experiences (simulations, visualizations, notebooks)
  • Support accreditation & quality: Align syllabi, policies, credit hours, and outcomes with institutional standards; contribute evidence for reviews and continuous improvement

Qualifications
  • Degree in a core science field (e.g., Biology, Chemistry, Physics, Geology) or Science Education; PhD or EdD preferred
  • 3+ years teaching or leading curriculum in undergraduate science (online or hybrid experience a plus)
  • Proven fluency with education technology and AI
  • Track record of cross-functional collaboration with designers/engineers and shipping learner-centric features

Perks
  • Competitive salary and equity
  • Healthcare for you and your dependents (medical, dental, and vision)
  • Parental leave for any full-time employee who has been with us for at least 6 months (birthing, non-birthing, and adoptive parents)
  • 15 PTO days per year, a winter break, and 12+ paid company holidays per year
  • Remote work days
  • Lunch provided in-office daily
  • Working with super talented people who want to make a difference in the world

Outsmart is committed to building an equitable and inclusive workplace and is proud to be an equal opportunity employer. We consider all qualified applicants for employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other characteristic protected by applicable law.

Apply