Research Engineer, Machine Learning

About Basis

Basis is a nonprofit applied AI research organization with two mutually reinforcing goals.

The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles.

The second is to advance societys 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.

To achieve these goals, were building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.

About the Role

Research engineers support Basis mission by translating research ideas into correct, robust, and scalable high-quality code.

We seek individuals who excel technically and value probing concepts at their foundations. Our research engineers aspire to conduct rigorous, high-quality, robust science, unafraid to tinker, make mistakes, and explore radically different ideas to achieve this.

Basis is a collaborative endeavor, both internally and with our external partners; we seek individuals who relish working with others on challenges larger than those they can tackle alone.

Machine Learning Research Engineers

This role targets experts in machine learning engineering. The core areas of ML research engineering include :

• Probabilistic programming and statistical inference
• Deep learning
• Program synthesis and analysis
• ML Ops and systems engineering

These areas are honed within the context of building reasoning systems. Consequently, research engineers will also engage with topics such as programming language design and implementation, automatic differentiation, and SAT / SMT solvers, among others.

We expect you to :

You've implemented variants of newly published techniques from scratch.

In addition, the following would be an advantage :

Responsibilities :

Role Details

Exceptional candidates who may not meet all of the following criteria are still encouraged to apply.

Compensation Range : $120K - $180K

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