Episteme Inc.
Member of Research Staff (Machine Learning for Neural Circuit Modeling Postdoc)
San Francisco, California · Staff+
Sponsorship not specified$120k-$140kDetected 28 days ago
PythonMachine LearningDeep LearningPyTorchNLPStatisticsResearchCommunicationCollaboration
About the role
- About Episteme Episteme is a new kind of R&D company built for people who want their work to matter in the world.
- We work closely with researchers to move ideas from early insight to real-world application.
- When breakthroughs are ready, we help bring them into the world responsibly, including through commercialization when appropriate.
Responsibilities
- Develop and test ML models for processing and integrating multi-modal data priors (e.g., calcium imaging, connectomics, and voltage dynamics of individual neurons and circuits)
- Develop and test ML models for predicting neural activity and behavior from experimental datasets
- Develop models and software that can be broadly adopted by the scientific community through open-source or commercial distribution models.
- You consistently deliver high-quality research with minimal supervision, make sound decisions within your scope of responsibility, and contribute positively to the progress of the broader research program.
- Experience building models across predictive, generative, classification, or regression tasks
- Experience developing impactful computational tools, models, or software systems
Requirements
- You are technically strong but intellectually humble.
- You can move comfortably between mathematical reasoning, software implementation, model development, and scientific interpretation.
- You work well independently but value collaboration.
- You enjoy discussing ideas, sharing work early, and improving your thinking through interaction with researchers from different backgrounds.
- Above all, you are motivated by the opportunity to contribute to ambitious scientific problems that have the potential to change how we understand biological intelligence.
Compensation
- San Francisco pay range
- $120,000 - $140,000 USD
Benefits
- We offer competitive compensation and comprehensive benefits, including:
- Unlimited Paid Time Off (PTO), plus 12 company holidays
- Comprehensive medical, dental, and vision coverage
- 100% company-paid short-term disability, long-term disability, basic life insurance, and AD&D insurance
- 16 weeks of fully paid parental leave
- Ph.D. in Computer Science, Applied Mathematics, Computational Neuroscience, Machine Learning, or a related field
- Strong track record developing machine learning methods for multidimensional signal, image, or sequence data
- Proficiency with Python and modern machine learning frameworks such as PyTorch or JAX
- Explore advanced deep learning methods (e.g., symbolic regression, GNNs, Transformers, generative models) to inform neural models from data and enhance interpretability
- Machine learning models developed by the group become more predictive, interpretable and scientifically meaningful because of your contributions.
- Even when experiments or models fail, they produce useful learning that improves future work.
- You have strong Machine Learning foundations and a deep interest in applied neuroscience.
Company info
- Over time, your contributions become a trusted part of how the team understands neural dynamics and approaches increasingly difficult scientific questions.
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