Machine Learning Engineer

Overview

My client is developing cutting-edge foundation models for structured data—transforming how industries handle science, finance, and business intelligence.

Why Join?

• Work on groundbreaking AI, not just incremental improvements.
• Shape how organizations unlock value from their data.
• Join at an exciting growth stage with strong traction and funding.

Key Areas of Impact

As an early team member, you'll have significant technical ownership and the chance to grow into a leadership role. Areas you might tackle:

• Model Development: Build and optimize training pipelines for large-scale models.
• Research Infrastructure: Enhance experiment tracking, evaluation, and data pipelines.
• Production & Scale: Develop scalable model-serving architectures and deployment pipelines.

What We’re Looking For

• Strong Python and ML engineering skills (PyTorch, Scikit-Learn).
• Experience implementing and deploying ML systems.
• Passion for clean, maintainable code and foundation models.

Bonus Points

• Advanced degree in a relevant field.
• Contributions to open-source projects.
• Experience with large-scale ML models and distributed training.