Member of Technical Staff (Research Engineering)

Job description

# About us **ATG (Autonomous Technologies Group)** is an AI lab deploying frontier reasoning systems within financial markets. [**Autonomous**](https://becomeautonomous.com) is an agentic wealth manager built on this foundation. **Founders:** Early GPU cloud (9 figure exit). **Investors:** Led by Garry Tan / YC with participation from one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), and other top-tier angels. **About the Role** 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, TensorFlow). - 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** We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we’d love to meet you. - Work on AI with a massive market opportunity - Early team of repeat founders backed by top investors - High agency, talent dense, zero bureaucracy