Research Scientist
Requirements at a glance
Research Scientist at ATG is a full-time role based in New York City. It does not mention visa sponsorship. Key skills include Python, Machine learning, Generative AI, and PyTorch. Applications are submitted through Ashby.
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Ashby
Skills in this posting
- Python
- Machine learning
- Generative AI
- PyTorch
- Deep learning
Highlighted skills appear in the posting's requirements.
Extracted automatically from the job description. Confirm details in the full posting below.
About us
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.
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 drive original research at the boundaries of AI, working on new models, algorithms, and architectures for reasoning in complex environments. Your work will shape the scientific agenda of the lab and inform everything we build. You’ll have autonomy to pursue fundamental research and see your ideas deployed in real-world settings.
Responsibilities
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.
Requirements
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.
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