Here is an opportunity to join Sentient Science, a company whose solutions lie at the convergence of many exponentially accelerating innovative technologies: Machine Learning Engineer

Buffalo, New York – November 7, 2020 – Here is an opportunity to join Sentient Science, a company whose solutions lie at the convergence of many exponentially accelerating innovative technologies: Cloud, edge computing and the Industrial Internet of Things (IoT); AI, machine learning and deep learning; Big Data and analytics; and 3D printing (additive manufacturing). Sentient Science helps customers lower the costs of designing, operating, and sustaining their high value mechanical assets by providing digital twin technology that predicts the life of mechanical systems. Sentient’s DigitalClone® SaaS solutions use proprietary algorithms derived from physics-based modeling and machine learning. Help us achieve our vision of a world where rotorcraft manufacturers, wind energy operators and railroads rely on Sentient DigitalClone for a digital implementation of their O&M cost reduction strategy. And a high concentration of PhDs will keep you intellectually stimulated and challenged.

The Machine Learning Engineer will occupy a strategic role with an unwavering focus on production deployment of current and future machine learning models as well as reduced-order physics models. Individual in this position will have a strong background in computer science and software engineering as well as demonstrable experience exhibiting strong commitment to software engineering best practices in building machine learning systems. The candidate needs to have a broad exposure to a wide variety of machine learning techniques including but not limited to damage-anomaly detection, natural language processing, explainability-driven deep learning and time-series forecasting. Being able to a) work in an ego-less capacity with a diverse team, b) communicate complex concepts in simple language to diverse stakeholders and, c) display unwavering commitment to empathy and customer obsession is highly valued. The title and associated responsibility for the position can be modified for the right candidate – if our mission inspires you, please click here for the complete job description.

About Sentient Science

Sentient Science Corporation provides digital twin technology to predict the life of mechanical systems. Sentient’s DigitalClone® SaaS solutions use proprietary physics-based modeling and machine learning AI to unlock insights that lower the costs of designing, operating, and sustaining high value assets. This visibility also helps customers optimize parts inventories and increase profitability. Furthermore, Sentient Science offers professional scientific services that enable us to partner with customer experts in industries such as Wind Energy, Aerospace, and Rail to develop cost optimized life extension actions.

Sentient Science is a leader in prognostic solutions with one patent awarded in 2019 for physics-based life prediction and six additional patents pending. Sentient has won more than $22 million in SBIR/STTR funding from the U.S. Government – with agencies including Dept of Energy, Dept of Defense, and NASA. The technology has been recognized by the SBIR program with the 2014 Tibbetts Award, by Bloomberg as New Energy Pioneer Award in 2016, and Frost & Sullivan in 2017 with the New Product Innovations Award for Wind Prognostics.

DigitalClone has 4 Product Offerings:
DC-E DigitalClone for Engineering (DC-E) – a physics-based patented SaaS design solution to model drivetrains and predict individual component life under real-world operating conditions. DC-E delivers a unified workflow for a multiscale analysis from system level to component level through microstructure modeling in a single software package. Customers using this technology have achieved up to 35% cost savings and 65% schedule compression for drive system development programs.

DigitalClone for Wind Operations and Maintenance (DC-OM) – an AI/ML based digital twin SaaS that detects damage based on the current “as maintained” configuration of a wind turbine in operation. DCOM provides a holistic view of the health and remaining useful life (RUL) of an asset’s critical systems and identifies components that may be operating with damage. This enables asset-level health risk assessments that support predictive maintenance programs to reduce O&M costs and extend asset life.

DigitalClone for Rail Maintenance (DC-RM) – a physics-based SaaS scenario planning tool to compare and select best rail maintenance actions based on rail life extension and financial return on investment. DC-RM provides railroads with “Precision Scheduled Maintenance” to maximize the utilization of the rail asset and optimize capital efficiency over the lifecycle.

DigitalClone for Additive Manufacturing (DC-AM) – a multi-scale and multi-physics SaaS model to computationally assess quality and performance of additive manufacturing built-parts. DC-AM uniquely links the process, microstructure and fatigue to provide design and computational testing. Customers indicate that DC-AM can reduce iterations for design optimization by 75% and decrease cost for AM part qualification by up to 50%.

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DigitalClone is a registered trademark of Sentient Science