Member of Technical Staff, Machine Learning

Responsibilities

• Build and improve machine learning components across data preparation, training, evaluation, and inference.
• Fine-tune and adapt models as part of larger production systems.
• Implement evaluation and testing frameworks to understand model behaviour and performance.
• Build and maintain pipelines for real-world and synthetic training data.
• Investigate model failures, performance issues, and production incidents.
• Ship improvements iteratively and use real user feedback to guide further development.
• Work closely with senior machine learning engineers, product teams, and other technical stakeholders.
• Contribute to systems operating under production constraints, including latency, cost, reliability, scalability, and safety.
• Improve the quality and maintainability of ML systems through testing, monitoring, and continuous iteration.

Requirements

• Strong foundations in machine learning and modern neural network architectures.
• Hands-on experience training, fine-tuning, evaluating, or deploying machine learning models.
• Strong Python programming skills; experience with PyTorch and/or JAX.
• Familiarity with production machine learning systems running on GPUs.
• Ability to write clean, reliable, and production-quality code.
• Understanding of the machine learning lifecycle, including data preparation, training, evaluation, inference, and deployment.
• Ability to learn new tools and technologies quickly.
• Ability to work through ambiguous technical problems with guidance.
• Willingness to take increasing ownership as experience and confidence grow.

What They Offer

• Cash and equity compensation.
• Remote-first setup with flexible hours as part of a distributed, global team.
• Generous paid time off.
• Company laptop provided.
• A quick hiring process: 3, occasionally 4, interviews, with fast decisions afterwards.