Research Engineer — Machine Learning
Listed on 2025-12-12
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Software Development
Data Scientist, Machine Learning/ ML Engineer, AI Engineer
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.
About the RoleResearch 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.
Machine Learning Research EngineersThis 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.
Qualifications- 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.
Responsibilities- 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.
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