The Opportunity
Frontier Research is dedicated to foundational machine learning research and developing new algorithmic frameworks. We operate with a flat scientific structure in which senior scientists define their own research agendas, and leaders act as mentors who shape priorities across the organization. We view open science as a core value and a competitive necessity. Our commitment to open dissemination, academic engagement, and community contribution ensures that our work contributes meaningfully to the broader machine learning community and advances the scientific ecosystem. In biology, many exciting research questions cannot yet be addressed with off-the-shelf ML approaches—they demand not only novel solutions but also new ways of framing the questions themselves, often beyond existing ML paradigms. We believe that the field of generative modeling provides the most promising paths to connect these fields and build robust, impactful solutions.
In this role, you will:
• Develop theoretical frameworks and algorithms for sampling and generative modeling.
• Contribute to publications and present your results at internal and external scientific conferences.
• Collaborate and execute on research that pushes forward the state of the art in machine learning.
• Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
• Work with a large and globally distributed team.
Who You Are
• You have a PhD in Mathematics, Physics, Computer Science, Statistics, Machine Learning, or related disciplines with 2-7 years of relevant work experience.
• You have a strong publication record in generative modeling, with publications in academic journals like JMLR and at peer-reviewed ML conferences (e.g., NeurIPS, ICML, ICLR, and COLT).
• You have strong communication and collaboration skills.
Preferred:
• Published work with theoretical contributions.
Relocation benefits are NOT available for this opportunity
This position must be based in South San Francisco, New York City, or Basel
The expected salary range for this position in California is $201,300 - 373,800. For New York City, the expected salary range is $192,500 - 357,500. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
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