Member of Technical Staff; Research Engineering

Machine Learning Engineer

You'll bridge research and engineering—rapidly implementing, experimenting with, and scaling new algorithms and models. You'll work closely with scientists and founders to translate ideas into high-performance systems, and will operate across the stack from prototyping to deployment.

Responsibilities

• Prototype and scale experimental models (LLMs, RL agents, agentic systems) on large, real-world data.
• Build tools and pipelines for training, evaluation, and analysis.
• Implement state-of-the-art research from papers and iterate in collaboration with scientists.
• Own the full ML lifecycle: data engineering, experimentation, training, and deployment.
• Operate in a highly autonomous, engineering-driven environment.

Requirements

• Strong background in deep learning, reinforcement learning, or computational modeling.
• Expert-level Python and significant experience in ML frameworks (PyTorch, JAX, Tensor Flow).
• Ability to translate research into robust, scalable systems.
• Experience with distributed computing or large-scale ML pipelines.
• Demonstrated curiosity and hands-on experimentation skills.
• Expertise in leveraging the latest AI tools (Cursor, Claude Code, Codex, etc) to increase productivity & code output while maintaining high code quality, maintainability, and structure.

Why Join ATG

• Work on AI with a massive market opportunity
• Early team of repeat founders backed by top investors
• High agency, talent dense, zero bureaucracy