micro1 career
Member of Technical Staff, Research Engineering at micro1
This research engineering post centers on reinforcement learning at micro1. The engineer builds RL environments with reward functions and verifiers, scales training pipelines, generates synthetic data, and creates automated grading systems. They also fine-tune open-source models and set up benchmarks, which links early research ideas to production systems and supports micro1's own benchmark releases.
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What you would do
- Build self-contained RL environments with reward functions, verifiers, and evaluation logic for complex real-world tasks.
- Scale episode pipelines and multi-component training processes for reproducible experiments.
- Create synthetic data generation and AI-driven automated grading and validation systems.
- Fine-tune open-source RL models and build benchmarks measuring capability, robustness, and data quality.
What the listing asks for
- Deep experience in reinforcement learning, including environment design and training dynamics
- Track record building and scaling RL systems, pipelines, or experimentation frameworks
- Experience with synthetic data pipelines, automated evaluation, and fine-tuning open-source ML models
- Strong technical writing and communication in a fast-paced, collaborative research setting
- Preferred: Experience publishing benchmarks, evaluations, or research artifacts, or scalable RL infrastructure
Suits professionals who enjoy turning reinforcement learning research into working training and evaluation systems, and who write clearly about technical results.
The listing as micro1 posted it
This is micro1's public listing for the role, read October 29, 2026, with dashes and placeholder links cleaned up. The listing is micro1's text; the summary above and everything below it is ours.
Job Title: Member of Technical Staff, Research Engineering
Job Type: Full-time
Location: Remote
The Role
We are seeking a Research Engineer to operate at the frontier of Reinforcement Learning (RL), developing novel environments, training pipelines, and evaluation systems that advance the capabilities of modern AI models. This role sits at the intersection of research and production, translating experimental ideas into scalable, high-performance systems.
What You’ll Work On
- Architect self-contained RL environments that capture complex, real-world tasks, including reward functions, verifiers, and evaluation logic.
- Design and scale episode pipelines and multi-component training processes (MCPs) to support reproducible experimentation.
- Build automated data generation systems, leveraging synthetic data to accelerate training cycles without compromising quality.
- Develop and integrate AI-driven evaluation and quality assurance systems for automated grading, validation, and feedback loops.
- Fine-tune and optimize open-source RL models using internally generated datasets and custom training strategies.
- Establish benchmarking frameworks to measure model capability, robustness, and data quality across tasks.
- Contribute to the release and analysis of evaluations on internal and external benchmark platforms (e.g., micro1 benchmarks).
What We're Looking For
- Deep experience in Reinforcement Learning, including environment design and training dynamics.
- Strong track record of building and scaling RL systems, pipelines, or experimentation frameworks.
- Proficient in automation and data generation, including synthetic data pipelines.
- Familiar with automated evaluation systems, model validation, and quality assurance workflows.
- Experienced in fine-tuning and evaluating open-source ML models.
- Clear, concise communicator with strong technical writing skills.
- Comfortable operating in fast-paced, research-driven, and highly collaborative environments.
Preferred
- Experience publishing benchmarks, evaluations, or research artifacts.
- Familiarity with evaluation ecosystems (e.g., micro1 benchmarks or similar frameworks).
- Background in scalable infrastructure for large-scale RL experimentation.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $200,000-$300,000 USD. 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, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
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 posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.
Referral link. We may be paid a referral fee.
Pay and terms
The listing states $200,000 to $300,000 a year. That is the compensation micro1 published for this full-time role, not an offer. On extras, the listing says: Eligible for equity, possible performance-based bonuses, health insurance premium reimbursement of up to 100%, paid time off, and a 401(k) with company match.
This is an employee role on micro1's own team. The payment terms on our expert pages (USD twice a month through Deel) describe micro1's contractor experts, and the listing does not say they apply here, so rely on the offer you receive. Read our micro1 review for what workers say about the company.
Before you apply
These are employee roles on micro1's own team, hired through its recruiting process, which can differ from the expert interview and certification route. Follow the steps in the listing and have your resume and a short note on your most relevant work ready.
Apply through the listing on micro1's site and follow the process it describes. Our how to become an AI trainer guide covers the expert contractor route (AI interview, certification, matching), which may not be how micro1 hires for its own team.
Referral link. We may be paid a referral fee.
People also ask
What does "technical staff" mean?
In this micro1 listing, Member of Technical Staff is the title for a remote, full-time research engineer working on reinforcement learning. Duties include building RL environments with reward functions and verifiers, scaling training pipelines, generating synthetic data, creating automated grading systems, and fine-tuning open-source models. The post is described as bridging research and production.
How much do members of technical staff make?
We do not publish market salary data for this profession and give no general figure. What this micro1 listing states is a national base salary range of $200,000 to $300,000 USD. It adds eligibility for equity compensation, possible performance-based bonuses, paid time off, a 401(k) with a company match, and reimbursement of up to 100% of health insurance premiums. Final terms come from the offer, not this page.
How much does the Member of Technical Staff, Research Engineering role at micro1 pay?
The listing states $200,000 to $300,000 a year. That is the compensation micro1 published for this full-time role. On extras, the listing says: Eligible for equity, possible performance-based bonuses, health insurance premium reimbursement of up to 100%, paid time off, and a 401(k) with company match. Check the listing for the current figure and for anything it does not spell out, such as equity or benefits.
Is the Member of Technical Staff, Research Engineering role remote?
Yes. The listing describes it as remote work. On where you can be based, it says: remote. Read the eligibility line on the listing before you apply.
How do I apply for the Member of Technical Staff, Research Engineering role?
Open the listing on micro1's site and apply there, then follow the process the listing describes. This is an employee role on micro1's own team. The AI interview, certification and project matching in our how to become an AI trainer guide are the route for expert contractors and may not be how micro1 hires for this role.
Is this listing still open?
We read micro1's public listing on October 29, 2026. Roles close without notice, so confirm on the listing itself. If it has closed, the other careers at micro1 roles on this site are linked below.
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Sources and method
- micro1 public job listing for this role, read October 29, 2026. The summary, task and requirement lines are our paraphrase of that listing.
- The questions under People also ask: Google's related questions for this kind of role in the United States, as reported by Ahrefs, pulled October 29, 2026. Answers are ours, written from the listing and from our own sourced micro1 pages.
Listings change without notice. If this page is out of date, tell us.
Referral link: we may be paid if micro1 hires you.