|Location||Glendale, United States|
|Date Posted||December 13, 2017|
Beyond Limits is an early stage technology company specializing in advanced Artificial Intelligence products and solutions. Our technologies and products include reasoning systems, natural language processing, machine-to-machine interfaces and analytics, internet of things, intelligent agents, anomaly detection, and AI-based encryption. Our culture is one of collaboration, courage, and curiosity. We are a fast-growing team and are interested in people that take pride in their own work and also understand what it means to be part of a team.
Our Oil and Gas division is currently in need of a Reservoir Engineer to join our fast-growing team. The successful candidate will be involved in the design and development of next generation software products for upstream O&G.; The ideal candidate will have a deep knowledge of the subsurface reservoirs and be able to contribute to the codes/algorithms in a group of Data Scientists and software engineers.
Beyond Limits is a pioneering Artificial Intelligence company with a storied history in Space Exploration. A satellite of NASA's Jet Propulsion Lab and Caltech, Beyond Limits provides advanced intelligence solutions that go far beyond conventional AI. Our cognitive computing technology mimics human thought processes and provides autonomous reasoning to aid human-like decision-making.
Responsibilities and Duties:
Collaborate with the SMEs from the client side to understand the current workflows and help design autonomous solutions empowered by Beyond Limits’ Artificial Intelligence IP stack
Act as an in-house reservoir engineering expert to ensure the accuracy of the O&G; knowledge/physics implemented in our agents
Contribute to the solution design, usually in collaboration with data scientists
Work closely with software engineers to implement the solutions in a programming environment
Qualifications and Skills:
Minimum 2 years of experience in upstream O&G; as a reservoir engineer, data scientist or petrophysicist
MSc in petroleum engineering or a related major
Working knowledge of the upstream data
Experience with analytical simulation tools in the field
Familiarity with reservoir simulation
Minimum 3 years of programming experience in Python, Java, Matlab , etc ..
PhD in petroleum engineering or a related major
Demonstrated experience with statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
Demonstrated experience with machine learning fundamentals and analysis tools (e.g., Matlab, Mathematica, SciPy, NumPy, etc..)