Machine Learning Software Engineer, Research - Remote

Overview

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design and engineering.

In Short

• Work closely with research scientists and simulation engineers.
• Design, build and optimize machine learning models.
• Implement distributed training architectures for multi-node/multi-GPU training.
• Identify the best libraries, frameworks and tools for modeling efforts.
• Discuss results and implications of work with colleagues and customers.
• Work at the intersection of data science and software engineering.
• Foster a nurturing environment for colleagues with less experience.
• Enthusiasm for developing machine learning solutions.
• Ability to work autonomously and deliver projects effectively.
• Excellent collaboration and communication skills.

Requirements

• MSc or PhD in computer science, machine learning, or related field.
• Experience in scientific computing and high-performance computing.
• Exposure to scaling and optimizing ML models.
• Experience with distributed computing frameworks.
• Building ML models and pipelines in Python.
• Knowledge of C/C++ for computer vision or scientific computing.
• Understanding of software engineering concepts and best practices.
• Experience with containerization and orchestration.
• Writing pipelines and experiment environments.

Benefits

• Be part of an early-stage company making a positive impact.
• Work with a supportive and challenging team.
• Experience a flat hierarchy and encourage voicing ideas.
• Work sustainably, balancing work and personal life.
• Receive competitive compensation and equity package.
• Enjoy generous vacation and parental leave.
• Opportunity to work from home or in-office.
• Use first-class equipment for working in-office or remotely.