AI Researcher
Job Details
- Job Title: AI Researcher
- Job Type: Full-Time / Part-Time
- Location: Remote
About Us
At micro1, we’re building the world’s first AI recruitment engine to match talented individuals with their dream jobs. Join our core team to be at the forefront of AI innovation, collaborate with Silicon Valley’s fastest-growing companies, and thrive in a dynamic, fast-paced environment focused on growth and development.
Job Summary
We are seeking an innovative and dedicated AI Researcher with a passion for gaming and applied AI research. You will work on developing new data types for labs focusing on multi-expert interactions, including terapeutt-patient dynamics, competitive gaming, and strategic analysis. The role offers the chance to influence pioneering research with leading AI labs like DeepMind.
Key Responsibilities
- Collaborate on designing and building vetting architectures for expert interactions, especially in gaming.
- Develop a human-in-the-loop pipeline for high-quality data production.
- Partner with foundation-model companies for quality checks and validations.
- Publish early findings and prepare research papers for top AI journals and conferences.
- Engage in rapid prototyping and iterative research.
- Communicate research outcomes and collaboration opportunities effectively.
Required Skills and Qualifications
- Proficiency in production-grade Python programming
- Familiarity with LangChain and LangGraph technologies
- Experience with multi-agent reinforcement learning (MARL) and Reinforcement Learning from Human Feedback (RLHF)
- Ability to design and implement data-processing pipelines
- Strong communication skills
- PhD or Masters in Computer Science or related field, or equivalent experience
Preferred Qualifications
- Experience publishing impactful AI research papers
- Background in gaming and strategic gaming dynamics
- Past collaborations with leading AI research labs
Job Highlights
- Influence pioneering AI research with laboratories like DeepMind.
- Design and develop expert interaction architectures, focusing on gaming.
- Create and implement human-in-the-loop data pipelines.
- Conduct downstream validations with foundation-model partners.
- Rapidly publish and share research findings.
- Engage in quick prototyping.
- Effective stakeholder communication.
Tags: Python, LangChain, LangGraph, MARL, RLHF, AI Research, Gaming, Data Pipelines, DeepMind, Human-in-the-Loop