Zyphra
Research Engineer - Brain Computer Interface Models
San Francisco
Sponsorship not specifiedDetected 127 days ago
PythonNode.jsMachine LearningPyTorchSignal ProcessingResearchExperimental DesignCommunicationCollaboration
About the role
- You will be involved across the full model lifecycle, from data collection and preprocessing to designing novel architectures and training methodologies.
- Large-scale EEG model training runs and evaluation
- Architecture and training methodology ablations and innovations
Responsibilities
- Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module
- Relocation and immigration support on a case-by-case basis
Requirements
- Proficiency with PyTorch and Python
- Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued
Skills
- Experience with VAEs, GANs, diffusion models, and contrastive learning
- Familiarity with signal processing (especially for EEG) and time-series analysis
- Experience training on large-scale (multi-node) GPU clusters
- Experience contributing to large existing codebases and ramping up quickly
- Previously published machine learning research in well-respected venues
- We strongly value new and crazy ideas and are very willing to bet big on new ideas
- We move as quickly as we can; we aim to minimize the bar to impact as low as possible
- We all enjoy what we do and love discussing AI
- Excellent communication and collaboration skills, with clean and concise coding practices
- Strong implementation and prototyping skills, with comfort working across both research and engineering at scale
Compensation
- Competitive compensation and 401(k) plan
Benefits
- Comprehensive medical, dental, vision, and FSA plans
- Unlimited PTO and company holidays
Company info
- ZYPHRA IS AN ARTIFICIAL INTELLIGENCE COMPANY BASED IN SAN FRANCISCO, CALIFORNIA.
This listing is sourced directly from Zyphra's careers page and normalized into a canonical job model.