At Flowstate, we are harnessing AI and machine learning for advanced pipeline leak detection. Our mission is to develop innovative solutions for challenging problems in the detection of leaks in complex fluids and systems. We combine cutting-edge technology with practical applications, aiming to make a significant impact in the industry.
We are looking for an Artificial Intelligence Engineer or Data Scientist to join our team, focusing on extending our machine learning-driven solutions in the realm of computational leak detection. The ideal candidate will be a key contributor to our team and organization, requiring a unique blend of skills in machine learning, scientific computing, and physics-informed modeling.
- Analyze time series sensor data to enhance our machine learning models for leak detection in complex fluids and settings.
- Leverage recent advances in Machine Learning and Artificial Intelligence to build innovative systems for enhanced detection of leaks in complex fluids.
- Build machine learning model architectures that integrate and are bounded by the principles of physics to develop robust, physics-informed solutions.
- Stay abreast of the latest research and technological breakthroughs and apply them to develop innovative solutions that advance our project goals.
- Design experiments, establish success measures, and formulate comprehensive project plans.
- Conduct rigorous research, evaluate results, and effectively communicate findings and issues to stakeholders and management.
- Collaborate closely with the team to ensure alignment with project objectives and timelines
JOB SKILLS AND QUALIFICATIONS
- Graduate degree in Computer Science, Engineering, Physics, or a related field.
- 2-5 years of professional experience in developing machine learning solutions or scientific computing.
- Strong background in time series analysis, machine learning, and AI developments.
- Proficiency in Python, including its scientific computing and machine learning libraries such as Pandas, NumPy, SciPy, NetworkX, TensorFlow, and PyTorch.
- Proven ability to adapt to changing priorities, needs, and deadlines.
- Excellent time management skills and ability to deliver results with minimal oversight.
- Strong collaborative skills, with a history of working effectively in team environments.
- Must have US residency; no visa support available
- Experience in integrating physics-based approaches with data-driven models.
- Familiarity with hydraulic modeling or computational fluid dynamics.
- Experience in designing AI solutions for complex system analysis.
- Proficient in the implementation and utilization of graph architectures and/or graph neural networks in complex data analysis and modeling scenarios.
- Experience in fast-paced startup environments.
- Experience integrating machine learning solutions into commercial products or platforms
Why You Should Join Us
Joining Flowstate means becoming part of a team dedicated to tackling some of the most challenging and impactful problems in pipeline safety using AI and machine learning. We value innovation, collaboration, and the ability to translate complex data into meaningful solutions. Your contributions will be pivotal in advancing our mission and making a real difference in an industry critical to our environment and society.
We are not currently sponsoring visas for this position. References may be requested. Applicants not having the required skills may not receive a response.