Research Engineer — Machine Learning - Second Renaissance : Job Details

About Basis

Basis is a nonprofit applied AI research organization with two goals:

To achieve these, we are building a new technological foundation inspired by human reasoning and a collaborative organization that prioritizes human value.

Research engineers support Basis' mission by translating research ideas into correct, robust, and scalable high-quality code. We seek individuals who excel technically, value probing concepts, and are willing to explore radically different ideas.

Basis is collaborative internally and with external partners; we seek individuals who enjoy working with others on large challenges.

This role targets experts in machine learning engineering, including:

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

These areas are within the context of building reasoning systems, engaging with topics like programming language design, automatic differentiation, and SAT/SMT solvers.

• Excellent programming and software engineering skills in Julia, Python, C++, ML-family languages.
• Proven ability to drive software projects from start to finish, evidenced by open-source projects, reports, or publications.
• Comfort with research from PL and/or ML venues such as PLDI, POPL, NeurIPS, ICML.
• Ability to work autonomously and under uncertainty.
• Enthusiasm for solving real-world problems and societal impact.
• Significant technical achievements in ML engineering, such as implementing new techniques, building large-scale training systems, or spanning multiple levels of the programming stack.

Advantages include a PhD or equivalent in statistics, programming languages, machine learning, neuroscience, cognitive science, physics, or mathematics.

• Translate research ideas into correct, robust, and scalable code.
• Performance engineering and scaling research code.
• Algorithm development.
• Contribute to Basis's culture and direction.
• (Optional) Publish and present research findings.

• This is a full-time position.
• Flexible working hours with a preference for in-person collaboration; attendance at multi-day Basis events required.
• Location in New York City or Boston.
• Competitive salary and bonuses.