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Intern Computer Vision Deep Learning Engineer Jobs in Nevada

Intern

Fernley, NV

$15.75 - $21/hr

... Engineer. The opportunity will last up to 90 days and would ideally be 30 hours per week. This opportunity will be onsite with on the job learning. Qualifications for Intern * At a minimum, the ...

Intern

Fernley, NV · On-site

$15.75 - $21/hr

... Engineer. The opportunity will last up to 90 days and would ideally be 30 hours per week. This opportunity will be onsite with on the job learning. Qualifications for Intern * At a minimum, the ...

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

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

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

AI Solutions Architect

Las Vegas, NV · On-site

$60.25 - $79.25/hr

Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science ... deep learning, or generative artificial intelligence solutions in production environments

Intern - Electrical Engineer

Reno, NV · On-site

$19 - $25/hr

... engineering. This is a very flexible position designed to give the Intern a basic understanding of ... Learn and contribute to various computer based programs * Learn basic operating principles of the ...

Intern - Electrical Engineer

Reno, NV · On-site

$19 - $25/hr

... engineering. This is a very flexible position designed to give the Intern a basic understanding of ... Learn and contribute to various computer based programs * Learn basic operating principles of the ...

Intern - Electrical Engineer

Reno, NV · On-site

$19 - $25/hr

... engineering. This is a very flexible position designed to give the Intern a basic understanding of ... Learn and contribute to various computer based programs * Learn basic operating principles of the ...

Intern - Electrical Engineer

Reno, NV · On-site

$19 - $25/hr

... engineering. This is a very flexible position designed to give the Intern a basic understanding of ... Learn and contribute to various computer based programs * Learn basic operating principles of the ...

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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.
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Nevada? For Intern Computer Vision Deep Learning Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Nevada look for? The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Nevada are:
What cities in Nevada are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities in Nevada with the most Intern Computer Vision Deep Learning Engineer job openings:
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in Nevada as of June 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
Principal AI/ML Engineer

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Sierra Nevada Corporation rating

8.6

Company rating: 8.6 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

17th of 60 rated aerospace companies


Job description

SNC can only hire in these states: AL, AK, AZ, CA, CO, FL, GA, HI, ID, IL, IN, KS, KY, LA, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NC, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WV, WI.

In this role, you will help shape the long-term AI/ML technical vision for the organization, guide high-impact R&D initiatives, and lead the development of advanced autonomy, perception, analytics, and generative AI capabilities. You will be responsible for setting technical direction across multiple simultaneous efforts, defining architectural standards, and ensuring that JTF Sierra's prototypes and initiatives represent industry-leading innovation. This role requires exceptional technical depth, the ability to operate with extreme autonomy, and the leadership presence to influence engineering culture, collaborate with program leadership, mentor staff, and represent the team to senior executives, customers, and external partners.

The ISR (Intelligence, Surveillance & Reconnaissance), Aviation, and Security (IAS) business area is a leader in ISR and aviation, it is a leading prime manned and unmanned aircraft systems integrator for innovative, high-performance ISR and aviation systems. Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance & Reconnaissance (C4ISR) capabilities encompass design, integration, test, certification, ground/flight training and complete logistics support. IAS tailors solutions to customer cost, performance, and schedule requirements and designs to consistently exceed expectations - with an unrivaled record of on time and on (or under) budget deliveries.

Role Expectations Specific to JTF Sierra

  • Translate broad mission objectives into program-level AI/ML architectures, strategies, staffing plans, data approaches, and technical frameworks.

  • Drive system-level AI/ML decision-making by establishing technical standards and guiding engineering trade studies that shape platform-level autonomy and perception capabilities.

  • Identify and champion high-value R&D opportunities, emerging technologies, and cross-organizational partnerships that accelerate SNC's AI/ML advancements.

  • Provide deep technical consultation across JTF Sierra and adjacent Business Unit product lines, ensuring architectural coherence and consistent technical excellence.

  • Ensure AI/ML solutions are architected for scalability and seamless integration with enterprise-wide platforms. Collaborate with IT and infrastructure teams to define and implement the necessary tools, data pipelines, and computing resources to support sustainable AI/ML operations across the organization.

  • Balance program-specific AI/ML solution development with the strategic creation of reusable frameworks, shared data assets, and foundational infrastructure that enable cross-program and enterprise-wide AI/ML adoption.

Responsibilities:

  • Lead design and technical direction for next-generation architectures spanning deep learning, reinforcement learning, multimodal generative AI, and advanced perception/decision systems

  • Architect and oversee end-to-end multi-program AI/ML systems across platforms and embedded systems

  • Assist with development of long-term technical strategies, roadmaps, and requirements for emerging AI/ML initiatives

  • Identify, define, and advocate for the foundational data, compute, MLOps, and cloud/on-prem infrastructure necessary to support sustainable and secure AI/ML development and deployment across JTF Sierra and related business units.

  • Establish and promote best practices for the full AI/ML lifecycle-including data management, model versioning, CI/CD for ML, monitoring, and continuous improvement-to ensure reliable deployment and operation of AI/ML models in production.

  • Oversee multiple development streams, providing technical reviews, risk assessments, and mitigations plans

  • Shape system-level behavior and engineering tradeoffs when requirements are ambiguous

  • Lead development of simulations, sensor fusion models, vision models, and planning/decision algorithms

  • Represent JTF Sierra to leadership, customers, and partners (assist in developing and presenting briefings, demos, high-level technical presentations, etc)

  • Establish adaptive, agile AI/ML validation, verification, and safety frameworks for proof-of-concept level mission-critical systems

  • Evaluate and introduce emerging technologies (examples: transformers, RLHF, edge AI, XAI, GPU acceleration)

  • Partner with Program Manager and Project Engineer to define staffing, data, schedules, and resources required to execute JTF Sierra technical initiatives

  • Coach and develop engineering talent, raising JTF Sierra's overall AI/ML capabilities

Qualifications You Must Have:

  • Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related STEM field

  • 14+ years of experience in AI/ML or related fields, or 16+ years without a degree

  • Demonstrated mastery of deep learning, reinforcement learning, generative models, and large-scale AI/ML system architecture

  • Proven experience architecting and deploying mission-critical and/or large-scale AI/ML systems

  • Strong proficiency in Python, C++, C#, and/or Java with experience building scalable Machine Learning systems

  • Experience providing technical leadership across teams, projects, or programs

  • Ability to define technical strategies, influence senior stakeholders, and make organization-level architecture decisions

  • In-depth experience with aerospace/defense-relevant regulatory and cybersecurity considerations

  • Demonstrated ability to mentor and grow engineering talent within an organization

Qualifications We Prefer:

  • Advanced degree (MS or PhD) in AI/ML or related field

  • Experience applying AI/ML to autonomy, multimodal sensor fusion, or embedded/real-time platforms

  • Experience establishing or scaling ML engineering standard (MLOps, validation frameworks, data management)

  • Expertise with GPU acceleration, CUDA/TensorRT, or parallel computing

  • Publications, patents, or thought leadership in AI/ML

  • Familiarity with edge AI, explainable AI (XAI), or emerging/advanced ML topics

  • Experience translating high-level mission objectives into complex AI/ML system architectures (HMI scenarios, autonomy stacks)

Essential Functions:

  • Define and lead complex AI/ML projects across multiple programs

  • Collaborate in a hybrid environment while supporting rapid demonstration timelines

  • Travel 10-30% for R&D, customer and partner engagement, field testing, and conferences

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

SNC offers annual incentive pay based upon performance that is commensurate with the level of the position.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more (https://www.sncorp.com/careers/total-rewards/) .

IMPORTANT NOTICE:

This position requires the ability to obtain and maintain a Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use.

Learn more about the background check process for Security Clearances. (https://www.dcsa.mil/Personnel-Vetting/Background-Investigations-for-Applicants/Investigations-Clearance-Process/)

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.


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