Panoptive Verified
Data Analytics, Data Management, Software, Cloud Computing, Artificial Intelligence
Research Engineer Intern
San Francisco, California, United StatesOnsiteInternshipJunior / Entry-level$8,000–$11,000 /yrPosted 2 months agoHidden Gem · YC Startup
Role summary
This fall/winter internship focuses on advancing product roadmap and core evaluation/simulation capabilities. The intern will work directly with founders on agent evaluation methodologies, data generation, and RL, translating research into features. Key responsibilities include designing and building evaluation components, implementing data generation, and productionalizing research advancements. A background in Computer Science, passion for product building, and experience in RL or model evaluation are beneficial.
Note: This is a fall/winter internship only.
**The Role:**
You will work directly with the founders on advancing the product roadmap and AgentHub’s core evaluation and simulation capabilities. You’ll have significant scope and will keep up to date with the latest state-of-the-art methodologies and techniques across areas like agent evaluation, data generation, and RL - translating these into real features in the hands of real users.
**What you will do:**
* Design and build the core methodologies and components for evaluating agents across axes like instruction following, safety, groundedness, and efficiency
* Research, experiment, and implement robust data generation capabilities
* Tie in the latest advancements in research and productionalize them to unlock value for our customers
**Signs you might thrive in this role:**
* Working towards a Bachelors/Masters/PhD in Computer Science or related field
* Passionate about building category-defining products
* Previous background and experience in reinforcement learning
* Demonstrated experience in model/agent evaluation is a major plus
* Opinionated, perpetually curious, and love having scope over a problem and delivering
**The Role:**
You will work directly with the founders on advancing the product roadmap and AgentHub’s core evaluation and simulation capabilities. You’ll have significant scope and will keep up to date with the latest state-of-the-art methodologies and techniques across areas like agent evaluation, data generation, and RL - translating these into real features in the hands of real users.
**What you will do:**
* Design and build the core methodologies and components for evaluating agents across axes like instruction following, safety, groundedness, and efficiency
* Research, experiment, and implement robust data generation capabilities
* Tie in the latest advancements in research and productionalize them to unlock value for our customers
**Signs you might thrive in this role:**
* Working towards a Bachelors/Masters/PhD in Computer Science or related field
* Passionate about building category-defining products
* Previous background and experience in reinforcement learning
* Demonstrated experience in model/agent evaluation is a major plus
* Opinionated, perpetually curious, and love having scope over a problem and delivering
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