Machine Learning Software Engineer, Research - Remote

Overview

The Machine Learning Software Engineer will work closely with research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems, focusing on machine learning solutions.

In Short

• Collaborate with research scientists to build and optimize machine learning models.
• Implement distributed training architectures for multi-node/multi-GPU training.
• Transform prototype models into robust implementations.
• Identify libraries and tools for modeling efforts.
• Mentor colleagues in machine learning and engineering.
• Work autonomously on diverse projects.
• Communicate results with colleagues and customers.
• Develop reusable libraries and tooling from research results.
• Foster a collaborative environment.
• Focus on scalability and efficiency in applications.

Requirements

• MSc or PhD in relevant fields like computer science or engineering.
• Experience in scientific computing and high-performance computing.
• Strong problem-solving skills.
• Excellent collaboration and communication skills.
• Experience with distributed computing frameworks.
• Proficiency in Python and ML libraries.
• Knowledge of C/C++ for computer vision or scientific computing.
• Familiarity with software engineering best practices.
• Experience with containerization and orchestration.
• Ability to run experiments systematically.

Benefits

• Equity options for employees.
• 10% employer pension contribution.
• Free office lunches.
• Flexible working arrangements.
• Hybrid work setup with remote flexibility.
• Enhanced parental leave policies.
• Comprehensive private healthcare.
• Access to personal development opportunities.
• Work from anywhere options.