What are the responsibilities and job description for the ML Engineer position at Navier AI?
The Vision
Navier AI is building engineering software for physics-driven design. We are starting by making Computational Fluid Dynamics simulations that are 1000x faster than current solutions. We're leveraging cutting-edge physics machine learning to accelerate traditionally compute-intensive simulations. Why? Because Engineers deserve better tools to drive innovation, from designing efficient aircraft, to faster F1 cars to silent hair dryers. We're not just improving the status quo - we're redefining it.
The Role : ML Researcher
As an ML Engineer on our founding team, you'll work directly on developing and experimenting with novel ML models for physics simulations. We want someone who can go deep on model architectures, learning rate schedules, or loss functions one day, and then jump to building new data pipelines the next.
What We're Looking For :
- Strong familiarity with PyTorch
- Experience with transformer architectures
- Expertise in deep learning for scientific computing
- Proficiency in Python and scientific computing libraries
- Experience in model designing
Bonus :
Why This Role is Special :
The Founders
Cameron and Evan are former SpaceX-ers who've built and launched land, sea, air and space vehicles. As aerospace engineers, they experienced firsthand the challenges of slow, inefficient engineering workflows and founded Navier AI to solve these exact problems.
Location & Compensation
Apply Now!
This is a rare opportunity to join a startup on the ground floor and have a massive impact. If you're passionate about pushing the boundaries of machine learning and want to see your work directly impact the future of engineering, we want to talk to you!
Join us and be part of something extraordinary.
Salary : $100,000 - $250,000
