Machine Learning Scientist

Join Our Team as a Machine Learning Scientist

PhysicsX is a pioneering deep-tech company that specializes in developing machine learning applications to accelerate physics simulations. We are at the forefront of creating optimization opportunities in design and engineering, impacting industries such as Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables.

About the Role

We are seeking a capable and enthusiastic Machine Learning Scientist to join our team. In this role, you will work closely with our simulation engineers, machine learning engineers, and customers to develop an understanding of the physics and engineering challenges we are solving. You will build innovative models to predict the behavior of physical systems using state-of-the-art machine learning and deep learning techniques.

Key Responsibilities

• Collaborate with simulation engineers and customers to understand and solve complex physics and engineering challenges.
• Develop and own the delivery of data science workstreams.
• Design, build, and test reliable, scalable, and easily deployable data pipelines for machine learning.
• Discuss the results and implications of your work with colleagues and customers.
• Contribute to our internal R&D and product development efforts.

What We Are Looking For

• Enthusiasm for using machine learning, especially deep-learning and probabilistic methods, in science and engineering.
• Strong problem-solving skills and the ability to quickly analyze issues, identify causes, and recommend solutions.
• Excellent collaboration and communication skills.
• A degree in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field.
• Experience in building machine learning models and pipelines in Python, using libraries such as NumPy, SciPy, Pandas, TensorFlow, and PyTorch.
• Familiarity with software engineering concepts and best practices for collaborative programming.
• Experience working in a cloud environment with major cloud providers is appreciated but not required.
• Experience with simulations for FEA/CFD is a plus.

What We Offer

• Be part of something larger: Make an impact and meaningfully shape an early-stage company.
• Work on some of the most exciting and important topics in science and engineering.
• Join a fun group of colleagues who support, challenge, and help you grow.
• Experience a truly flat hierarchy where your ideas are welcome and encouraged.
• Work sustainably, balancing work and personal life.
• Receive a competitive compensation and equity package, along with plenty of perks.

Our Commitment

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply.

Note: We do not provide visa sponsorship in the US. Please only apply if you have the right to work in the US.

If this opportunity excites you, we would love to hear from you, even if you don't tick all the boxes.