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Entry Level Computer Vision Deep Learning Engineer Jobs in Blanco, TX

About the team Avride develops autonomous vehicle and delivery robot technology, leveraging deep ... Expertise in at least one modern machine learning domain, such as computer vision, large language ...

About the team Avride develops autonomous vehicle and delivery robot technology, leveraging deep ... Expertise in at least one modern machine learning domain, such as computer vision, large language ...

Machine Learning Engineer L-1

Austin, TX ยท On-site

$80K - $93K/yr

* Develop high-quality, maintainable code to build and deploy computer vision modules and machine ... Understanding of machine learning and deep learning fundamentals * Develop internal tooling as ...

Machine Learning Engineer L-1

Austin, TX ยท On-site

$80K - $93K/yr

* Develop high-quality, maintainable code to build and deploy computer vision modules and machine ... Understanding of machine learning and deep learning fundamentals * Develop internal tooling as ...

Machine Learning Engineer L-1

Austin, TX ยท On-site

$80K - $93K/yr

* Develop high-quality, maintainable code to build and deploy computer vision modules and machine ... Understanding of machine learning and deep learning fundamentals * Develop internal tooling as ...

Sr Machine Learning Engineer

Austin, TX ยท On-site

$121K - $160K/yr

... deep learning and generative AI. Ensure system reliability, regulatory compliance, and technical ... Master's degree, or foreign equivalent, in Data Science, Computer Science, Business Analytics, or a ...

Sr Machine Learning Engineer

Austin, TX ยท On-site

$121K - $160K/yr

... deep learning and generative AI. Ensure system reliability, regulatory compliance, and technical ... Master's degree, or foreign equivalent, in Data Science, Computer Science, Business Analytics, or a ...

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Entry Level Computer Vision Deep Learning Engineer information

See Blanco, TX salary details

$44.1K

$110.5K

$125K

How much do entry level computer vision deep learning engineer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for entry level computer vision deep learning engineer in Blanco, TX is $110,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $119,600.00 per year, depending on experience, location, and employer.

What types of projects do entry-level Computer Vision Deep Learning Engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What does an Entry Level Computer Vision Deep Learning Engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.
What cities near Blanco, TX are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities near Blanco, TX with the most Entry Level Computer Vision Deep Learning Engineer job openings:

Computer Vision & Machine Learning Engineer

Allen Control Systems

Austin, TX โ€ข On-site

$110K - $130K/yr

Full-time

Medical, Dental, Vision, PTO

Posted yesterday


Job description

Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems

Company Overview:

Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.

With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact.ย 

What You'll Do:

  • Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.

  • Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.

  • Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.

  • Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.

  • Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.

What You'll Need:

  • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.

  • At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.

  • 4-7+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.

  • A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.

  • Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.

  • Experience with embedded systems and integrating computer vision algorithms into hardware.

  • Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.

  • You enjoy collaborating with other engineers to solve complex technical challenges.

What We Offer:

  • Competitive salary

  • ACS Equity Package

  • Health, Dental, Vision Insurance

  • Paid Time Off

Allen Control Systems is anย Equal Opportunity Employer,ย providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.