Egra
AI Researcher / Engineer / Intern
New York City · Intern · Internship
Sponsorship not specifiedDetected 59 days ago
Machine Learning5G/LTEResearch
About the role
- This posting is one role with wide possibilities: full-time researchers, full-time engineers, interns, college kids who've been shipping since they were 16.
- You'll have complete ownership over your work from day one.
- No lengthy onboarding, waiting for permission, or navigating layers of approval.
Responsibilities
- You're more interested in neuroscience theory than building systems that work in production.
- Relocation and visa support
Requirements
- You can take a vague research direction and ship something concrete within a week.
- You have strong opinions about what makes representations actually generalize, and they're informed by experiments you ran yourself.
- You're comfortable with heterogeneous, multimodal data and you have a toolkit for making it useful.
- You can look at a benchmark and tell us why it's leaky.
- You can look at a model architecture and tell us what it can't possibly learn.
Skills
- Bitter Lesson by default.
- Reproducibility over vibes.
- Failed experiments are documentation, not waste.
- Write up what doesn't work with the same care as what does.
- AI-augmented everything.
- Claude Code, Cursor, internal eval agents, generated tooling.
- Anything one person can do with AI tools is owned by one person.
Compensation
- Competitive salary and meaningful equity (full-time); top-of-market intern stipend
Benefits
- Competitive salary and meaningful equity (full-time)
- top-of-market intern stipend
- Platinum-tier health insurance
- in-person strongly preferred, flexible on edge cases
Company info
- Your value proposition is "I know EEG" or "I have a neuroscience background." This is an ML role, not a neuro role. We are not hiring for domain expertise in any signal modality. We're hiring for general modeling ability on hard data.
Visa & Work Authorization
- Relocation and visa support; in-person strongly preferred, flexible on edge cases
This listing is sourced directly from Egra's careers page and normalized into a canonical job model.