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Computer Vision Research Assistant Jobs in Georgetown, TX

Skyways

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/yr

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Utaustin

Graduate Research Assistant

Austin, TX · On-site

$21.25/hr

Graduate Research Assistant ---- Hiring Department: Enterprise Technology - Learning Technology ... Basic computer skills Equivalent combination of relevant education and experience may be ...

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Computer Vision Research Assistant information

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How much do computer vision research assistant jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computer vision research assistant in Georgetown, TX is $44,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $51,600.00 per year, depending on experience, location, and employer.

What is a computer vision research assistant?

Computer Vision Research Assistants are professionals who support research projects focused on developing algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They assist with tasks like data collection, annotation, running experiments, literature review, and implementing computer vision models. These roles often require knowledge of programming, machine learning, and image processing techniques, and are commonly found in academic labs, tech companies, and research institutions. Their work helps advance the field by contributing to innovations in areas like object recognition, autonomous vehicles, medical imaging, and augmented reality.

What does a computer vision research assistant do?

As a Computer Vision Research Assistant, you can expect to work on tasks such as collecting and annotating image datasets, implementing and testing computer vision algorithms, and assisting with experimental design for research studies. You will frequently collaborate with graduate students, faculty, or senior researchers to analyze data and prepare reports or presentations. Your daily work may involve coding in Python or MATLAB, running experiments, and troubleshooting model performance, all within a collaborative research team environment.

What are the key skills and qualifications needed to thrive as a computer vision research assistant?

To thrive as a Computer Vision Research Assistant, you need a strong background in computer science, mathematics, and image processing, often supported by a relevant degree or coursework. Experience with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and familiarity with computer vision libraries (like OpenCV) are typically required. Critical thinking, problem-solving abilities, and effective communication help distinguish top candidates in collaborative research environments. These skills and qualifications are essential for developing innovative solutions, efficiently analyzing visual data, and contributing to cutting-edge research projects.

What job categories do people searching Computer Vision Research Assistant jobs in Georgetown, TX look for?

The top searched job categories for Computer Vision Research Assistant jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Computer Vision Research Assistant jobs?

Cities near Georgetown, TX with the most Computer Vision Research Assistant job openings:

Computer Vision Research Assistant jobs near you

Senior Computer Vision Engineer

Skyways

Austin, TX • On-site

$103K - $142K/yr

Full-time

Re-posted 24 days ago

Job description

Skyways designs, builds, and operates fully autonomous long-range cargo aircraft. Founded in 2017, the company has spent the last eight years developing and deploying autonomous logistics systems for real-world operations.

Our V2 aircraft carries 30 lbs up to 500 miles, while our next-generation V3 carries 100 lbs over 1,000+ miles with 20+ hours of endurance. Both use a hybrid-electric architecture that takes off like a helicopter and cruises like a plane, enabling long-range autonomous delivery without traditional runway infrastructure.

Today, Skyways aircraft operate across three continents in controlled national airspace under FAA oversight and in support of U.S. military operations. We are transitioning from prototype development to full-rate production and scaling toward large autonomous cargo fleets.

Backed by Y Combinator and a $37M AFWERX STRATFI award from the U.S. Air Force, Skyways is creating a new form of transportation to advance our civilization from Austin, Texas.

The Opportunity

This role owns some of the hardest perception problems in autonomous flight.

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation, and perception-driven navigation in real operating environments. Your work will directly impact how aircraft identify safe landing areas, operate in degraded environments, and complete missions reliably without prepared infrastructure.

You will work across perception, sensor fusion, and flight systems to improve how aircraft understand terrain, obstacles, and environmental conditions during autonomous operations.

The ideal candidate has experience deploying perception systems on real robotic, automotive, or aerial platforms and understands the challenges of reliability, integration, and operational performance at system level.

You will work closely with autonomy, GNC, and flight operations teams to take systems from development through flight testing and operational deployment.

What You'll Do:

  • Develop and deploy computer vision systems for autonomous landing and landing zone evaluation

  • Build perception systems for targetless landing in unstructured and dynamic environments

  • Mentor junior perception engineers and raise the quality bar for how perception systems are designed, tested, and deployed

  • Develop algorithms for terrain understanding, obstacle detection, and environment classification

  • Work with onboard camera, IMU, GPS, and other sensor data in real flight environments

  • Improve system performance using operational flight data, testing, and iteration

  • Collaborate across autonomy, GNC, and flight operations teams to integrate perception into flight behaviors

  • Debug perception and autonomy issues observed during simulation, ground testing, and flight operations

  • Contribute to software architecture, testing, integration, and deployment workflows

What You'll Bring:

  • 5+ years of experience developing and deploying computer vision or perception systems in real-world environments

  • Strong proficiency in C++ and Python

  • Experience with perception systems for robotics, autonomous vehicles, drones, or aerospace platforms

  • Experience working with real sensor data and operational deployment constraints

  • Strong understanding of camera systems, sensor fusion, and state estimation concepts

  • Experience debugging and improving deployed perception systems using logs, telemetry, or flight data

  • Ability to operate effectively in fast-moving engineering environments

  • Strong communication and collaboration skills

Bonus Points If You Have:

  • Experience with autonomous aircraft or aerial robotics

  • Experience with landing zone evaluation, terrain classification, or visual navigation systems

  • Background in SLAM, visual odometry, or GPS-denied navigation

  • Experience with embedded or real-time systems

  • Familiarity with ROS2 or similar robotics frameworks

  • Experience deploying perception systems to resource-constrained platforms

Want to join our mission? Apply to learn more!

Due to U.S. government contract requirements, this role is limited to U.S. citizens, U.S. permanent residents, or candidates from specific countries authorized under applicable export control regulations.

Skyways is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or any other factor protected by applicable local, state or federal laws.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.