As a Research Student at LILT, you'll evaluate AI models for multilingual tasks and work with leading global labs. Opportunity for publishing and innovative research in AI.
About the role
- Applied AI Researcher creating feedback-driven systems for continuous AI self-improvement. Collaborating with a team to push the edge of AI utilization in enterprise solutions.
Responsibilities
- The System Self-Improvement team builds architectures that continuously evaluate and enhance their own performance
- Researchers design feedback-driven systems capable of detecting weaknesses, generating corrective hypotheses, and implementing their own improvements through reflection, retraining, or workflow adaptation
- Researchers in Self-Improvement study how systems can form self-models—understanding when, why, and how they succeed or fail
- They explore reflective reasoning, reward modeling, and self-evaluation techniques to enable autonomous evolution
Requirements
- Experience Building Feedback-Driven Systems
- Experience Building with Models, Not Just Building Models
- Proven Track Record of Research Results
- Uses AI Every Day
- Strong Programming and Data Analysis Skills
- Biases Towards Showing vs Telling
Benefits
- Competitive salary and benefits package, including equity options
- Medical/dental/vision covered at 100% for you and your dependents
- 401K plan
- Commuter benefits
- Lunch provided in office
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
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