# Member of Technical Staff (Research Engineering) at Atg

> Hybrid · United States · Staff · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Aatg%3A04bc29f4-7aff-4e73-ae24-a60abb0094c3 (read 2026-11-07).

## Facts (observed)

- Company: [Atg](https://alderhq.app/companies/atg)
- Location text: New York City; San Francisco
- Where it can be done from (inferred): Hybrid · United States (evidence: "Location: New York City; San Francisco")
- Posted: 2025-07-15 (480 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-03
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/atg/04bc29f4-7aff-4e73-ae24-a60abb0094c3
- Skills listed (inferred): Python, PyTorch, TensorFlow, LLMs

## Pay and sponsorship

- Posted pay: $180k–$260k per year (from the listing's pay field)
- Market band for similar posted roles (New York, n 30): p25 $235k, median $275k, p75 $294k

## Description (the employer's text)

### 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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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aatg%3A04bc29f4-7aff-4e73-ae24-a60abb0094c3 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.