Machine Learning Engineer

Verto People, Ltd.; Portsmouth; On-site; USD 110,000 - 220,000

Job description

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

Computer Vision Engineer / Machine Learning Engineer Responsibilities:

• 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.
• Develop and implement machine learning models optimized for performance in resource-constrained environments, delivering high levels of accuracy and reliability.
• Work closely with electrical engineers to seamlessly integrate computer vision systems into the turret’s hardware architecture.
• Perform comprehensive testing and validation of algorithms across diverse environmental conditions to ensure their robustness and reliability.
• Provide mentorship and leadership to junior engineers, fostering expertise in machine learning and computer vision throughout the team.
• 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.
• 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.

Computer Vision Engineer / Machine Learning Engineer Requirements:

• 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.
• A minimum of 6 years of experience developing machine-learning-driven computer vision systems, ideally within robotics or real-time operational contexts.
• Demonstrated expertise in designing and deploying real-time computer vision systems in environments with resource constraints or within safety-critical industries.
• Advanced proficiency in Python and C++ programming languages.
• Hands-on experience with leading machine learning frameworks like TensorFlow, PyTorch, or similar tools.
• Strong background in embedded systems and experience integrating computer vision algorithms into hardware platforms.
• In-depth knowledge of various sensors, including cameras, LIDAR, and RADAR, and their application in autonomous systems.
• A collaborative team player with a proven ability to mentor junior engineers and tackle challenging technical problems.
• Must be commutable or willing to relocate to Austin, TX.