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Salary
$180k – $260k per year
Location
Remote/Hybrid (New York, San Francisco, United States)
Seniority
Staff
Employment
Full-Time
Overview
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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

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