Data Scientist, Deep Learning

Do you like a challenge, are you a complex thinker who likes to solve problems? If so, then you might be the new Altairian we are searching for. At Altair, your curiosity matters. We pride ourselves on a business culture that enables open, creative thinking, and we deeply value our employees and their contributions towards our clients’ success, as well as our own.

Job Summary:

Our team is looking for a skilled and motivated data scientist who would be responsible for cross-disciplinary research projects involving machine learning and physics-based modeling. Applications will be of variety disciplines such as computational structural mechanics, fluid dynamics (CFD), electromagnetics, manufacturing, material science. Such projects require you work closely with customers, solver teams and data scientists at Altair to generate data, train, test and deploy models. It will also require that you give internal and external presentations about how the techniques you develop will improve product design process.

What You Will Do:

• Design, implement and test deep learning models across a range of engineering design problems
• Maintain an awareness of the latest deep learning methods and be able to pair the correct methods to a problem description

• Collaborate with Altair product teams to deliver impactful data science tools
• Please note that this is not a software development position, but it is an application position which focuses on working on proof-of-concepts using emerging technologies in engineering data science.

What You Will Need:

Basics:

• Degree in engineering, math, statistics, data science or a related field
• 2+ years of experience in the design, testing, and deployment of deep learning models
• Proficiency in python and common python-based deep learning libraries like pytorch and tensorflow
• Excellent communication skills both verbal and written
• Master of Science is preferred
• Experience in geometric deep learning and/or computer vision is a bonus