Member of Technical Staff (Research Lab)

Job Title: MemberofTechnicalStaff(RealmLab) Job Type: Full-time Location: Remote About Us micro1 is the end-to-end human data infrastructure behind AGI. Our AI recruitment model is used by frontier AI labs and Fortune 10 to source, vet, and deploy PhDs and professors from the world’s top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale. Job Summary Join our team as an RL Researcher (MTS), focusing on Reinforcement Learning Environments. You’ll work on designing, developing, and experimenting with the next generation of RL environments that support cutting-edge AI research and applications. With nearly every major AI lab among our, this role directly contributes to advancing global AI research efforts. What You’ll Do Conduct research and experimentation in RL environments, from foundational design to deployment in large‑scale applications. Collaborate with AI labs, industry experts, and internal teams to align research initiatives with emerging AI needs. Contribute to publications, experiments, and prototypes that push the boundaries of RL environment development. Translate research findings into practical improvements to our environment framework and tools. Stay informed on the latest advancements in RL, simulation, and AI, and apply them to ongoing projects. What We’re Looking For Proven expertise in RL environments (simulation frameworks, benchmarks, or environment design) with a strong research or applied project portfolio. Solid technical foundation in Python and RL/simulation tools (e.g., OpenAI Gym, MuJoCo, Isaac Gym, Unity ML‑Agents). Strong collaboration skills and ability to communicate complex research clearly to technical and non‑technical audiences. Self‑motivated and comfortable in a remote, dynamic, and high‑impact environment. Preferred Ph.D. in Computer Science, Machine Learning, or a related field (or equivalent applied research experience). Contributions to open‑source RL environments or collaborations with leading AI labs. Publications, talks, or research contributions in the AI or RL community. Compensation & Benefits Notice The annual base salary range for this full‑time position is $150,000–$200,000 USD. micro1 seeks to engage exceptional talent regardless of location and offers generous compensation packages to all employees. All employees are eligible for equity compensation, and employees may also receive performance‑based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health‑insurance premiums, paid time off, and additional benefits designed to support a high‑performing, remote‑first workforce. Disclaimer The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this post at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations. Regional Hiring Notes This role is being hired in parallel across multiple regions due to coverage needs, compliance requirements, and time‑zone alignment. Responsibilities and expectations are identical; employment terms vary by region. #J-18808-Ljbffr micro1