Machine Learning Engineer

Computer Vision Engineer / Machine Learning Engineer required to join an exciting defense-focused start-up manufacturer based in Austin, TX.

The successful Computer Vision Engineer / Machine Learning Engineer will ideally have a Master’s or PhD in a relevant discipline such as Computer Science or a related field.

Package:

$110,000 – $220,000

Equity Package

Health, Dental, Vision Insurance

Paid Time Off

Responsibilities:

1. Spearhead the creation and refinement of computer vision algorithms for autonomous gun turret systems, with a primary focus on real-time drone detection, tracking, and classification.
2. Develop and implement machine learning models optimized for performance in resource-constrained environments, delivering high levels of accuracy and reliability.
3. Work closely with electrical engineers to seamlessly integrate computer vision systems into the turret’s hardware architecture.
4. Perform comprehensive testing and validation of algorithms across diverse environmental conditions to ensure their robustness and reliability.
5. Provide mentorship and leadership to junior engineers, fostering expertise in machine learning and computer vision throughout the team.
6. Facilitate the progression from prototype designs to military-grade autonomous turrets, contributing to the development of system variants tailored for different weapon systems and engagement distances.
7. Ensure that all algorithms align with the stringent performance and reliability standards expected of defense-grade systems, adhering to best practices for safety-critical applications.

Requirements:

1. Master’s Degree or PhD in Computer Science, Electrical Engineering, or a related field, with a strong academic and professional focus on machine learning and computer vision.
2. A minimum of 6 years of experience developing machine-learning-driven computer vision systems, ideally within robotics or real-time operational contexts.
3. Demonstrated expertise in designing and deploying real-time computer vision systems in environments with resource constraints or within safety-critical industries.
4. Advanced proficiency in Python and C++ programming languages.
5. Hands-on experience with leading machine learning frameworks like TensorFlow, PyTorch, or similar tools.
6. Strong background in embedded systems and experience integrating computer vision algorithms into hardware platforms.
7. In-depth knowledge of various sensors, including cameras, LIDAR, and RADAR, and their application in autonomous systems.
8. A collaborative team player with a proven ability to mentor junior engineers and tackle challenging technical problems.
9. Must be commutable or willing to relocate to Austin, TX.

Company:

Verto People