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Lead Principal Machine Learning Engineer

PhysicsXSingapore
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

We are looking for candidates who are:Skilled in machine learning and data engineering, with a solid track record of deploying reliable ML solutions. Experienced in manipulating complex datasets, particularly 3D point-clouds and geometrical data. Able to collaborate effectively with cross-functional teams, including engineers and customers. Proficient in programming languages commonly used in ML and data pipeline development. Excellent communicators, capable of conveying technical concepts to both technical and non-technical audiences.

About the job

About Us

PhysicsX is a pioneering deep-tech company rooted in numerical physics and the high-speed world of Formula One. Our mission is to revolutionize hardware innovation by achieving the agility of software development.
We are developing an advanced AI-driven simulation software suite tailored for engineering and manufacturing across high-tech industries. By leveraging high-fidelity, multi-physics simulations through AI inference throughout the entire engineering lifecycle, PhysicsX unveils unprecedented opportunities for optimization and automation in design, manufacturing, and operational processes—empowering engineers to redefine the limits of what is possible. Our clientele includes industry leaders in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive sectors.

Who We're Seeking

As a Principal Machine Learning Engineer within our Delivery team, you will be an accomplished problem solver and technical strategist focused on delivering impactful solutions. You possess the ability to comprehend sophisticated engineering principles across diverse industries, spearhead technical projects, and collaborate closely with customers, often working alongside them on-site to integrate cutting-edge AI models into practical and effective tools.

You have successfully deployed ML systems end-to-end at scale: designing, constructing, and validating reliable, scalable ML data pipelines. You are proficient in exploring and manipulating 3D point-clouds and mesh data to facilitate geometry-aware modeling. Your expertise includes selecting the most suitable libraries, frameworks, and tools, enabling you to make pragmatic product choices that set the Delivery team up for success. At the intersection of data science and software engineering, you translate R&D findings and project outcomes into reusable libraries, tools, and products.

With a minimum of 3 years of industry experience (post-Master's or PhD) in a commercial setting (not research-focused), you are poised to not only execute but also lead and mentor your peers. You are genuinely enthusiastic about taking ownership of complex projects and guiding teams toward success while continuously enhancing the systems and solutions you work on to ensure they remain practical, impactful, and aligned with our customers' evolving needs.

This Role

In the role of Principal Machine Learning Engineer, you will work collaboratively with our Data Scientists, Simulation Engineers, and customers to identify and articulate the engineering and physics challenges we aim to address. You will iterate with clients and leverage your influence to drive decisions regarding reliable deployments that yield measurable outcomes.

Your responsibilities will include:

  • Leading the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) into customer production environments.
  • Effectively communicating results and technical insights to stakeholders, ensuring alignment and understanding.

About PhysicsX

PhysicsX is at the forefront of deep-tech innovation, merging the precision of numerical physics with the rapid advancements of software technologies. We aim to transform industries through AI-powered simulation tools, facilitating groundbreaking efficiencies and capabilities for engineers and manufacturers.

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