Atg
Member of Technical Staff (Research Engineering)
New York City, Remote. Posted 16 months ago
The role
You will bridge research and engineering by implementing, experimenting with, and scaling new algorithms and models. You will work with scientists and founders to translate ideas into high-performance systems from prototyping to deployment.
What you will do
- Prototype and scale experimental models 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 including data engineering, experimentation, training, and deployment.
- Operate in a highly autonomous, engineering-driven environment.
Required qualifications
- 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.
About the company
ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Autonomous is an agentic wealth manager built on this foundation.