Research Engineer, Machine Learning

Sourced from feeny.ai

Basis Research Institute, a nonprofit applied AI research organization, seeks a Machine Learning Research Engineer to translate research ideas into correct, robust, and scalable code. The role spans probabilistic programming, deep learning, causal inference, program synthesis, and ML systems engineering within the context of building reasoning systems. This is a full-time, in-person position in New York City or Boston.

• Translate research ideas into correct, robust, and scalable high-quality code
• Engage in programming language design and implementation
• Perform performance engineering and scale research code
• Develop algorithms
• Contribute to the culture and direction of Basis
• Optionally publish and present findings in journals and conferences

• Excellent programming and software engineering skills, especially in Julia, Python, C++, and ML-family languages
• Demonstrated ability to drive software projects from start to finish (open-source projects, technical reports, publications)
• Comfort digesting research from PL and/or ML venues such as PLDI, POPL, NeurIPS, or ICML
• Ability to progress with high autonomy and under uncertainty
• Enthusiasm for solving real-world problems and making positive societal impact
• Demonstrated significant technical achievements in ML engineering

• PhD (or equivalent experience) in statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, or mathematics
• Experience implementing variants of newly published techniques from scratch
• Experience building systems for training large models distributed across many machines
• Experience spanning the full programming stack from high-level API infrastructure to close-to-the-metal code