Member of Technical Staff (Research Engineering)

Autonomous Technologies Group; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

Autonomous Technologies Group is seeking a skilled individual to bridge research and engineering while developing high-performance systems. The role involves prototyping and scaling experimental models utilizing large datasets and working collaboratively with scientists and founders.

Ideal candidates possess a strong background in deep learning and reinforcement learning, excel in Python, and have experience with ML frameworks like PyTorch and TensorFlow. Join us to work in a high-agency environment with zero bureaucracy.

Qualifications

• Strong background in deep learning or reinforcement learning.
• Expert-level Python programming skills.
• Ability to translate research into scalable systems.
• Experience with large-scale ML pipelines.
• Hands-on experimentation skills.

Responsibilities

• Prototype and scale experimental models on real-world data.
• Build tools and pipelines for training and evaluation.
• Implement state-of-the-art research from papers.
• Own the full ML lifecycle from training to deployment.
• Operate in an engineering-driven environment.

Skills

Deep learning

Reinforcement learning

Computational modeling

Python

PyTorch

JAX

TensorFlow

Distributed computing

Tools

Cursor

Claude Code

Codex

Job description

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

• Work on AI with a massive market opportunity
• Early team of repeat founders backed by top investors
• High agency, talent dense, zero bureaucracy