Member of Technical Staff (Research Engineering)
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Before you apply
SalaryNo pay range posted
LocationNew York City
Work modehybrid
Typefull-time
SeniorityLead
DepartmentEngineering
Company size51–200 people
PostedJul 15, 2025 · 1y ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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
Skills
Python
PyTorch
JAX
TensorFlow
LLMs
RL agents
agentic systems
Cursor
Claude Code
Codex
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
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Prototype and scale experimental models (LLMs, RL agents, agentic systems) on large, real-world data.
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Build tools and pipelines for training, evaluation, and analysis.
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Implement state-of-the-art research from papers and iterate in collaboration with scientists.
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Own the full ML lifecycle: data engineering, experimentation, training, and deployment.
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Operate in a highly autonomous, engineering-driven environment.
Requirements
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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.
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Work on AI with a massive market opportunity
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Early team of repeat founders backed by top investors
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High agency, talent dense, zero bureaucracy