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Home Based Computer Science Police Jobs in Austin, TX

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

... science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision. * 9+ years of experience working on machine-learning-based computer vision, ideally ...

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Home Based Computer Science Police information

What are some common challenges faced by professionals working as home-based computer science analysts for law enforcement agencies?

Home-based computer science analysts in law enforcement often face challenges related to secure remote access to sensitive data, maintaining clear communication with on-site officers, and ensuring compliance with strict data protection protocols. Since much of the work involves digital forensics or cybersecurity, analysts need to stay updated on evolving threats and tools. Additionally, collaborating with multidisciplinary teams remotely requires excellent organizational and self-management skills to meet tight deadlines and contribute effectively to active investigations.

What are the key skills and qualifications needed to thrive as a Computer Forensics Analyst, and why are they important?

To thrive as a Computer Forensics Analyst, you need expertise in digital investigations, knowledge of cybersecurity principles, and typically a degree in computer science or a related field. Familiarity with forensic tools like EnCase, FTK, and knowledge of legal protocols are commonly required, along with relevant certifications such as CFCE or GCFA. Strong analytical thinking, attention to detail, and effective communication skills help professionals interpret complex data and present findings clearly. These abilities are critical for uncovering digital evidence, supporting law enforcement investigations, and ensuring the integrity of legal processes.

What is a Home Based Computer Science Police officer?

A Home Based Computer Science Police officer is a law enforcement professional who specializes in investigating cybercrimes such as hacking, online fraud, and identity theft, while working remotely from home. They use their expertise in computer science to analyze digital evidence, track cybercriminals, and support broader cyber investigations. These officers often collaborate with other agencies and may use advanced tools to monitor online activity and secure digital systems. Their work helps protect individuals and organizations from online threats.
What cities near Austin, TX are hiring for Home Based Computer Science Police jobs? Cities near Austin, TX with the most Home Based Computer Science Police job openings:
Home Based Computer Science Police jobs near you

Computer Vision & Machine Learning Engineer

Allen Control Systems

Austin, TX • On-site

$110K - $130K/yr

Full-time

Re-posted 19 days ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup focused on developing autonomous gun turrets using advanced computer vision and control systems. The Computer Vision & Machine Learning Engineer will be responsible for developing and optimizing computer vision algorithms and designing machine learning models for real-time drone detection and tracking.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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