Senior Software Engineer - ML Infrastructure

About the role

Applied Intuition is seeking a Senior Software Engineer to join its Data & ML Infrastructure team. You will work across the full ML lifecycle—from dataset generation and training frameworks to evaluation and deployment—collaborating directly with modeling teams to deliver production‑grade solutions.

Key responsibilities

• Design and implement distributed cloud GPU training approaches for deep‑learning model training and evaluation.
• Build end‑to‑end machine‑learning pipelines and integrate them into core product workflows.
• Promote best practices in ML engineering and maintain high standards of code quality.
• Collaborate with engineers across the company to solve complex data problems at scale.

Required profile

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 3+ years of professional experience building production‑grade, full‑stack machine‑learning software.
• Experience shaping company‑wide platforms for ML training, evaluation, and deployment.
• Strong judgment about the open‑source ML ecosystem and when to adopt external tools.

Required skills

• Distributed cloud GPU training
• Deep‑learning model training and evaluation
• Machine‑learning pipeline development
• Knowledge of open‑source ML frameworks and tools

What we offer

• In‑office work environment with occasional remote flexibility.
• Opportunity to influence technical and product decisions across a fast‑growing AI company.
• Collaboration with top engineers and industry leaders in autonomous systems.