Atg
Research Scientist
New York City, Remote. Posted 16 months ago
The role
You will drive original research on new models, algorithms, and architectures for reasoning in complex environments. This work will shape the scientific agenda of the lab and inform everything built.
What you will do
- Formulate and explore open questions in deep learning, reinforcement learning, and agent-based AI.
- Develop novel architectures, algorithms, and theoretical insights.
- Collaborate with engineers to implement, experiment, and iterate rapidly.
- Publish, present, and contribute to the broader research community.
- Mentor and support the next generation of technical talent.
Required qualifications
- Demonstrated track record of impactful AI/ML research (e.g., papers, open-source, or novel deployments).
- Deep expertise in at least one of: LLMs, RL, agent-based systems, generative modeling, theory of intelligence.
- Strong mathematical background (probability, optimization, statistics).
- Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX).
- Ability to turn theory into robust, practical code.
- Up-to-date on the latest research in LLMs from reading papers, articles, or re-implementing breakthroughs.
- 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.