Machine Learning Application Engineer
Location: New Jersey, USA / hybrid
The Client
How many chances in life do you get to be part of a company that has developed the technology and put together a best-in-class team to change the future of many industries? If you have the enthusiasm and drive to join such a company, have a passionate interest in AI, and are an application engineering professional, I would like to hear from you.
Meeting the challenges faced by today’s engineering organizations requires making computer-based intelligence the central paradigm of design processes. Their software exploits the power of deep learning to assist leading engineering teams to quickly design outstanding products. Where traditional physical solvers would take days or weeks to evaluate a single design, their neural network-based predictive models allow engineers to test and optimize design ideas in real time.
The ML Application Engineering Team
Their mission is to support their customers in solving their most complex engineering challenges. They collaborate closely with engineering and design teams within the automotive, aerospace, and energy industries, understand their challenges and pains, and help them identify solutions to accelerate their conception processes. They leverage their platform, and its components developed by their software engineers to unlock the value of the most complex Computer-Aided Engineering datasets and to create a direct impact on production design processes. Using 3D deep learning, they empower their customers to develop better products faster.
What you will do
As a key player in the team, your mission will be to establish trust and admiration from their customers by delivering high-quality technical work.
While working towards this goal:
- You will run projects together with the customer’s engineering teams, develop tailored solutions and analyze data for each project using Python.
- You will apply their deep learning tools to different engineering/physics problems as well as deliver proofs-of-concept demonstrating how their technology creates value in computer-aided engineering workflows.
- You will be in contact with customers to demonstrate the value of the platform and transmit the company's vision.
- You will train their customers to make the most out of their licenses and work with them to develop web applications and APIs putting 3D deep learning in production to accelerate their design processes.
- You will be part of their constant effort to further develop their deep-learning platform by collecting user feedback and relaying it to the product team.
- You will have the opportunity to work with global leaders and top research departments across different industries towards a new engineering revolution.
Who you are
- A solid background in engineering, preferably aerospace or mechanical (mandatory).
- Strong experience in Python programming and proficiency in deep learning frameworks (mandatory).
- A Master's or PhD in Mechanical Engineering, Physics, or a related field.
- Enjoyment of customer-facing roles, with exceptional communication and teamwork skills.
- Eagerness to tackle real-world challenges using machine learning.
- Bonus points for industry experience in CAD/CFD/FEA modeling.
You get
- A competitive salary and generous equity compensation plan - they are growing fast and want their employees to benefit from this growth.
- Work with a world-class technology team.
- The opportunity to contribute to changing the future of engineering - they are confident that their product will change the future of many industries.
- Work with people who care about you - they support each other and care about you so you can thrive.
- Flexible hybrid schedule.
- Benefits: 25 days of paid vacations per year, healthcare (medical/vision/dental), 401K matching.
- A stimulating and inspiring work environment - they believe in continuous professional and personal growth.
And important
Location: New Jersey, hybrid schedule.
Start date: May- June 2024.
Travelling: This position might require traveling to customer locations.
Only U.S. nationals, Green Card holders, or candidates with valid working US visas will be considered for this role. The company does not provide any visa sponsorship. Please consider this important information before applying.
Contact
Peter Wharton
(email protected)
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