AI Engineer, Mach Industries
$80-180k
+ $1K – $30K Equity & bonus
Defense systems technology
Job no longer available
Defense systems technology
21-100 employees
Job no longer available
$80-180k
+ $1K – $30K Equity & bonus
21-100 employees
Company mission
To build the next generation platforms that maintain an allied American edge.
Role
Who you are
- An innovative thinker possessing both a deep technical expertise in AI and a passion for defense technology
- The ideal candidate is highly collaborative and comfortable working in a fast-paced, Skunkworks-inspired environment, and has a track record of developing and deploying AI solutions that are both pioneering and practical
- Minimum of 5 years experience in AI engineering, machine learning, or a closely related field
- Expertise in programming languages such as Python, C++, or Java
- Strong proficiency in machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn
- Experience with big data technologies like Hadoop, Spark, or similar
- Familiarity with military and industry-specific cybersecurity standards
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
What the job involves
- The AI Engineer will be instrumental in the research, development, and deployment of cutting-edge artificial intelligence algorithms to enhance the performance, safety, and reliability of our hydrogen-powered weapons systems, including drones, guns, and balloons
- This role demands a profound understanding of AI and machine learning technologies, coupled with a deep interest in the defense sector, to propel our company into new frontiers of innovation
- AI Research and Development: Conduct research to develop state-of-the-art AI and machine learning algorithms tailored for hydrogen-powered defense systems
- Model Training and Validation: Build, train, and validate machine learning models to ensure they meet the specific requirements of our unique weapons systems
- Optimization and Scalability: Work to optimize AI algorithms for real-time decision-making and scalability across diverse hardware platforms
- Security Compliance: Ensure AI technologies are developed and deployed in accordance with military and industry-specific cybersecurity standards
- System Integration: Collaborate with Hardware and Software Engineering teams to seamlessly integrate AI capabilities into existing and future products
- Data Management: Develop robust data pipelines for training and evaluating machine learning models, including data collection, cleaning, and preprocessing
- Algorithm Auditing: Conduct thorough audits of machine learning models to verify performance metrics, ethical considerations, and safety protocols
- Cross-Functional Communication: Effectively communicate the impact and benefits of AI technologies to non-technical stakeholders within and outside the company
- Documentation and IP: Maintain rigorous documentation for developed algorithms and contribute to the intellectual property portfolio of the company
- Quality Assurance: Establish best practices for AI development to ensure high-quality, reliable, and safe deployment of algorithms
Our take
In the evolving landscape of defense technology, Mach Industries has identified a critical challenge faced by the US government: the traditional procurement process for defense systems, characterized by high costs and long development cycles.
Mach is introducing a new approach by developing a suite of platforms and munitions for the military, including unmanned aerial vehicles and hydrogen generation systems. While the specifics of Mach's technology remain discreet, the focus on field sources of hydrogen is anticipated to provide a crucial advantage to US defense systems.
Since Series A funding, Mach has faced significant challenges, from technical missteps to leadership issues, as it pivots toward new product lines. However, CEO Thornton's vision for revolutionizing defense technology and his drive to innovate remain central to the company's mission.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Oct 2023
$79m
SERIES A
Jun 2023
$5.7m
SEED
Total funding: $84.7m
Company HQ
Huntington Beach, CA
Leadership
Ethan Thornton
(CEO)Graduated from MIT with a Degree in Aeronautical and Astronautical Engineering. Previously founded Blue Oak Ironworks and worked as an Engineering Consultant at GAP-FLEX.
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