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Evening Computer Vision Deep Learning Engineer Jobs in Texas

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Fine-tune and deploy computer vision and deep learning models for object detection, object tracking, and OCR at scale. * Develop vision-language models and Mixture of Experts architectures, from ...

T3i, Inc.

Computer Vision Engineer

San Antonio, TX · On-site

... in modern deep learning architectures for vision (CNNs, transformers, detection/segmentation ... programming for accelerated computer vision processing • Experience training and deploying ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Design, implement, and refine deep learning models to ensure efficiency, scalability, and ... such as computer vision, large language models, or generative AI. • At least three years of ...

T3i, Inc.

Computer Vision Engineer - UAS

San Antonio, TX

$100K - $118K/yr

We are seeking a Computer Vision Engineer (CVE) to develop the Blackfoot's perception and visual ... Solid foundation in modern deep learning architectures for vision (CNNs, transformers, detection ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

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All JobsEvening Computer Vision Deep Learning Engineer JobsEvening Computer Vision Deep Learning Engineer Jobs in Texas

Evening Computer Vision Deep Learning Engineer information

What is the difference between Evening Computer Vision Deep Learning Engineer vs Computer Vision Deep Learning Engineer?

AspectEvening Computer Vision Deep Learning EngineerComputer Vision Deep Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworks
Work EnvironmentTypically evening or night shifts, often in research labs or tech companiesStandard daytime hours, in offices or remote settings
Industry UsageUsed in industries with 24/7 operations like surveillance, security, or manufacturingCommon across tech, automotive, healthcare, and research sectors

The main difference lies in work hours and shift timing. Evening Computer Vision Deep Learning Engineers work primarily during evening or night shifts, often in environments requiring 24/7 monitoring or operations. In contrast, Computer Vision Deep Learning Engineers usually work standard daytime hours. Both roles require similar skills and educational backgrounds, but their schedules and work environments differ significantly.

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Computer Vision & Machine Learning Engineer - All Levels

Allen Control Systems

Austin, TX • On-site

$94K - $270K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted yesterday

Job description

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 ventures acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact.
About The Role
We are looking for a Computer Vision and Machine Learning Engineer to develop and optimize the CV/ML systems at the core of our autonomous gun turret, with a focus on real-time drone detection, tracking, and classification. ACS is hiring across multiple experience levels for this role, from Associate through Senior Staff; your title and level will be determined based on your experience, skills, and scope of responsibility. You will work closely with electrical engineers to integrate vision systems into the turret's hardware architecture and contribute to hardening the prototype into a military-grade system.
We're hiring across multiple experience levels, including:
Associate CV/ML Engineer
CV/ML Engineer
Senior CV/ML Engineer
Staff CV/ML Engineer
Senior Staff CV/ML Engineer
What You'll Do
  • Develop and optimize computer vision algorithms for real-time drone detection, tracking, and classification on our autonomous gun turret.
  • Design and implement machine learning models capable of operating in resource-constrained environments while maintaining high accuracy and reliability.
  • Collaborate with electrical engineers to integrate computer vision systems into the turret's hardware architecture; contribute to hardening the prototype into a military-grade system and developing variants for different weapon systems and engagement ranges.
  • Conduct extensive testing and validation of CV algorithms across diverse scenarios to ensure robustness and performance under varying environmental conditions.

What You'll Need
  • 4+ years of experience in machine-learning-based computer vision, ideally in the context of robotics or autonomous systems; Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field with a strong focus on ML and computer vision.
  • Proven track record developing and deploying computer vision systems, ideally in real-time or safety-critical applications; deep passion for ML, computer vision, and robotics with roots that go back to early in your career.
  • Proficiency in Python and C++; hands-on experience with ML frameworks such as PyTorch, TensorFlow, or similar.
  • Experience with embedded systems and integrating CV algorithms into hardware; familiarity with sensors such as cameras, LiDAR, and radar and their integration into autonomous systems.

You'll Stand Out
  • Experience with object detection and tracking in challenging real-world conditions such as small targets, cluttered backgrounds, or low-contrast imagery.
  • Background in defense, aerospace, or autonomous systems where performance and reliability requirements are non-negotiable.
  • Experience deploying and optimizing models on edge hardware such as NVIDIA Jetson or similar embedded GPU platforms.
  • Experience with multi-sensor fusion or integrating data from heterogeneous sensor modalities such as optical and infrared cameras.

What We Offer
  • Competitive salary
  • ACS Equity Package
  • Health, Dental, Vision Insurance
  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, 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. #LI-AS1

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