# Member of Technical Staff (Research Engineering) at ATG

Member of Technical Staff (Research Engineering) at ATG in New York City and 1 more. Hybrid, full-time, paying $180k–$260k. Posted July 15, 2025.

- Company: ATG
- Location: New York City and 1 more
- Workplace: Hybrid
- Job type: Full-time
- Pay: $180k–$260k
- Posted: 2025-07-15
- Apply: https://jobs.ashbyhq.com/atg/04bc29f4-7aff-4e73-ae24-a60abb0094c3/application
- Source: https://jobmagic.ai/jobs/member-of-technical-staff-research-engineering-atg-rf142m

## 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.

## Description

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 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