Director of A.I. and Machine Learning

LiquidPiston, Inc. is seeking a Director of AI and Machine Learning to accelerate the development of our rotary internal combustion engines.  This job is located at our Bloomfield, CT office. 

In this position you will:

• Develop a roadmap for applications of AI and machine learning to engine design including architecting a high performance computing environment, developing data capture protocols, identifying and prioritizing use cases, etc.
• Create and modify models related to engines, generators, hybrid power systems, UAV’s, etc.
• Analyze and validate modeling results with experimental data
• Recommend changes to optimize system performance
• Document results verbally and through formal/informal written reports
• Collaborate and respond to requests from the Engineering team, including commonly from the CEO and CTO
• Manage time and resources between multiple projects
• Participate in weekly technical meetings, summarizing key accomplishments and plans
• Use Python, R and / or Matlab 
• Select and act as a primary technical contact for outsourced support work
• Maintain a spirited, open-minded personality and “can-do” attitude during the course of often challenging R&D projects

Requirements:

• Ph.D in Computer Science with BS/Masters in Data Science & Analytics, Engineering, Mathematics, Statistics, Physics, or Computer Science.
• 3+ years of experience in scientific computing/data science using numerical methods, statistical analysis and optimization techniques
• Coding expertise is a must
• Fundamental understanding of Physics and Thermodynamics
• Demonstrated ability to understand, model, and optimize physical systems
• Ability to self-direct and independently solve problems, including a lot of “thinking outside the box”
• Ability to learn find and learn from technical papers/journals

Helpful Skills:

• Interest in rotary, piston, turbine engines
• Experience with setting up and maintaining your own IT and data systems, including kubernetes, ZFS, Docker, engineering software license management, etc.
• Experience using analytics tools to combine large datasets and analyze them in big data environments, such as ADL, AWS, Snowflake, etc.
• Experience developing GUI’s, using AI to develop GUI's
• Experience working back and forth between simulation and real-world testing
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