Director of AI/ Machine Learning
Director of AI/ Machine Learning
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Salary Not Disclosed
1 Vacancy
Job Description
LiquidPiston Inc. is reimagining the rotary engine and were building cutting-edge propulsion systems for next-generation power applications. Were now seeking a Director of AI/ Machine Learning to help us accelerate development and innovation across our advanced engine platforms. This is a unique opportunity to lead the integration of AI/ML into mechanical engineering and propulsion system designfrom simulation and modeling to real-world performance optimization. Youll work closely with the CEO and core engineering team in a fast-paced hands-on R&D environment.
What Youll Do
In this role you will lead the AI strategy by developing a comprehensive roadmap for applying machine learning to engine design simulation and testing. This includes defining data architecture setting up high-performance computing infrastructure and identifying high-impact use cases. Youll build refine and validate both physical and data-driven models for systems such as engines generators hybrid power platforms and UAVs. A key responsibility will be analyzing simulation and experimental data to uncover insights and optimize system performance. Based on these findings youll recommend changes to mechanical or control systems and communicate results through formal reports and informal updates. Youll collaborate closely with the engineering team and company leadership to prioritize initiatives allocate resources and adapt to evolving technical needs. Project management will be essential as you juggle multiple R&D efforts balancing immediate deliverables with long-term innovation. Youll work hands-on with tools like Python R and MATLAB and youll also oversee external technical partners as needed. Above all we value a proactive solution-oriented mindsetsomeone who thrives in a fast-moving creative and collaborative environment.
Required Qualifications:
- Ph.D. in Computer Science (or related) with a strong foundation in Data Science Engineering Physics Mathematics or Statistics.
- Someone who has direct experience building and running Large Language Models (LLMs) from IT infrastructure setup through training and deploying the models as well as integrating them with agent-based systems.
- 3 years of hands-on experience in AI data science or scientific computing especially applied to physical systems.
- Deep understanding of numerical methods optimization and statistical analysis.
- Strong coding skills and comfort working in computational environments (Python is essential).
- Experience with machine learning libraries and frameworks (e.g. TensorFlow PyTorch scikit-learn).
- Hands-on experience with Large Language Models (LLMs) including:
- Setting up infrastructure (e.g. servers containers GPU clusters)
- Training and fine-tuning models
- Deploying models and building tools or agents that utilize them
- Solid grasp of physics and thermodynamics principles.
- Proven ability to build validate and optimize models of real-world systems.
- Self-starter who thrives on solving tough problems independently and creatively.
- Experience sourcing and learning from academic literature.
- Interest in engines (rotary piston or turbine) propulsion or energy systems.
- Bonus if youve set up and deployed LLMs
- Experience setting up computing environments (Kubernetes ZFS Docker license management etc.).
- Familiarity with big data tools (AWS Snowflake Azure Data Lake).
- GUI development skills or experience using AI to help build UI tools.
- Experience combining simulation results with experimental test data.
- Proposal writing or grant experience.
- Hands-on experience in a machine shop or prototype R&D setting.
- Familiarity with SolidWorks ANSYS GT Suite or similar simulation/modeling software.
Required Experience:
Senior Manager
Employment Type
Full-Time
