Basis Research

Research Scientist, Program Synthesis & Neuro-symbolic Methods

New York Office · Full-time

Sponsorship not specifiedDetected 241 days ago

AlgorithmsResearch

About the role

We are looking for exceptional researchers with expertise in Program Synthesis & Neuro-symbolic Methods.
You will work as part of an interdisciplinary team tackling fundamental questions: How can agents learn causal models from interaction?
How do we bridge high-level reasoning with low-level control?

Design and implement novel algorithms that push the boundaries of sample efficiency, generalization, interpretability, or robustness in embodied AI systems.
Validate research on physical systems by working with hardware engineers to test algorithms on real robots, addressing the sim-to-real gap and practical deployment challenges.
Develop and maintain open-source software that enables reproducible research and broader community engagement with MARA technologies.

The second is to advance society's ability to solve intractable problems.
This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future.
Experience with combining neural networks with symbolic reasoning or program generation.
Be excited about solving real-world problems through embodied intelligence that advances our ability to understand and interact with the physical world.
Have demonstrated an ability to do scientific research that is of high quality.
Experience with both theoretical research and systems engineering.

Competitive salary.
Start date: Immediate start possible.
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PhD (or equivalent experience) in technical areas including: robotics, machine learning, computer vision, control theory, cognitive science, or physics.
Collaborate across specializations to integrate world modeling with planning, symbolic reasoning with neural learning, and high-level objectives with low-level control.

We are in the office four days a week.
Be prepared to attend multi-day Basis-wide in-person events.
Basis is a collaborative effort, both internally and with our external partners; we are looking for people who enjoy working with others on problems larger than ones they can tackle alone.
In-person Policy: We are in the office four days a week. Be prepared to attend multi-day Basis-wide in-person events.

This listing is sourced directly from Basis Research's careers page and normalized into a canonical job model.