Machine Learning Engineer

Join Our Innovative Team as a Machine Learning Engineer at PhysicsX

At PhysicsX, a pioneering deep-tech firm, we harness the power of machine learning to revolutionize physics simulations and empower groundbreaking advancements in design and engineering. Originating from numerical physics and tested within the exhilarating world of Formula One, we empower clients to enhance their designs and engineering processes significantly. We have made strong impacts across critical industries such as Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables—contributing to societal advancements like designing more efficient artificial hearts, reducing CO2 emissions, and boosting wind turbine performance.

What You Will Do

You will collaborate with our team of simulation engineers and data scientists to gain deep insights into the challenges we tackle. Your role involves:

• Designing, building, and testing robust, scalable machine learning data pipelines.
• Managing the manipulation and analysis of complex 3D point cloud and mesh data.
• Leading the delivery of technical projects and creating analytics environments either in the cloud or on-premises.
• Selecting optimal libraries, frameworks, and tools, contributing to product design decisions for long-term success.
• Working at the crux of data science and software engineering, translating R&D results into reusable products and tools.
• Enhancing engineering practices and coaching peers on their adoption.

What You Bring to the Table

Your expertise will be crucial in driving our projects. We look forward to your:

• Passion for applying machine learning in solving scientific and engineering challenges.
• Strong background in computer science or software engineering, enriched with knowledge of versioning, testing, CI/CD, API design, and MLOps.
• Experience in building machine learning models and pipelines with Python, utilizing libraries like TensorFlow and MLFlow.
• Familiarity with distributed computing frameworks and cloud platforms such as AWS, Azure, or GCP, along with containerization tools like Docker and Kubernetes.
• Proven ability to scope and deliver projects effectively, coupled with excellent problem-solving, collaboration, and communication skills.

What We Offer

Being part of PhysicsX means you are impacting significant global challenges and working at the forefront of technology. We ensure:

• A chance to significantly shape an early-stage company and work on exciting, meaningful problems.
• A collaborative, supportive, and diverse work environment where your ideas lead the way.
• A work-life balance with competitive compensation, including equity and various perks.
• Commitment to diversity and supporting women from disadvantaged backgrounds through educational initiatives in science and technology.

At PhysicsX, your contributions help craft the future in substantial and meaningful ways. If you are ready to make a difference in some of the most advanced industries, we want to hear from you. Apply now for the position of Machine Learning Engineer and join our team of experts committed to excellence and innovation.