Machine Learning Researcher

Fluency Digital, Inc.; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Fluency Digital, Inc. is seeking a researcher to architect PyTorch models that infer causal structures from raw data in San Francisco. This role emphasizes understanding physical laws over simple statistical correlations.

The ideal candidate will have at least 1 year of experience in building models using PyTorch, strong Python skills, and an interest in causal inference. A collaborative approach and deep focus are valued in this innovative environment.

Qualifications

• 1+ years of hands-on experience in building and training models with PyTorch.
• Strong foundation in Python and scientific computing libraries.
• Deep interest in causal inference, physics-based modeling, or representation learning.

Responsibilities

• Architect novel PyTorch models inferring causal structures from raw data.
• Translate complex research concepts into robust engineering implementations.
• Contribute to understanding physical laws rather than just statistical patterns.

Skills

PyTorch model building and training

Python programming

Causal inference

Scientific computing

Job description

Early-stage AI lab building intelligence that learns causality through physics.

You are a researcher who believes true intelligence emerges from understanding physical laws rather than statistical patterns in language. Your days will be spent architecting novel PyTorch models that infer causal structures from raw data, moving beyond correlation to grasp the mechanics of how the world works. We offer the autonomy to pursue deep, fundamental questions in a focused, on-site environment in San Francisco where every line of code advances the frontier of causal reasoning.

What we're looking for:

• 1+ years of hands-on experience building and training models in PyTorch
• Strong foundation in Python and scientific computing libraries
• Deep interest in causal inference, physics-based modeling, or representation learning
• Proven ability to translate complex research concepts into robust engineering implementations
• Preference for deep focus and collaborative problem-solving over corporate process
• Must be based in the United States.

Tech stack:

Python, PyTorch