AI Research Engineer (Remote)

Joblet-AI; Ireland; Remote; EUR 181,000 - 236,000; Full time

Benefits offered by this job

Equity compensation

Health-insurance reimbursement

Paid time off

401(K) plan with company match

Job summary

micro1 is seeking a Member of Technical Staff to advance evaluation and development of frontier coding agents. You will design benchmarks, methodologies, and data systems to measure and improve next-generation coding models.

Responsibilities include leading research, building datasets and evaluation protocols, and creating tooling for large-scale experimentation. A strong software engineering background and experience with AI model evaluation are essential.

Qualifications

• Strong software engineering background with Python or C++ experience.
• Experience designing, reviewing, or validating benchmarks or evaluation methods.
• Familiarity with large language models, coding agents, or RL/evaluation systems.
• Proven ability to build tooling and automate workflows for large-scale experiments.

Responsibilities

• Design and own evaluation frameworks for coding agents, including benchmarks and rubrics.
• Lead end-to-end research on measuring and improving coding model performance.
• Develop datasets, golden examples, and evaluation protocols for frontier coding systems.
• Analyze model behavior to identify weaknesses and improvements for training and evaluation.
• Build tooling and infrastructure to support large-scale experimentation and pipelines.
• Establish best practices for coding-agent assessment to ensure rigor and reproducibility.
• Collaborate with researchers and engineers to design experiments and share insights.
• Contribute to technical reports and benchmark studies communicated to clients.

Skills

Python

C++

Software engineering

ML research

Evaluation design

Automation tooling

Communication

Ambiguity handling

Job description

• Role Type: Full-time
• Location: Remote

The Role

We are seeking a Member of Technical Staff to help advance the evaluation and development of frontier coding agents. Sitting at the intersection of AI research, software engineering, and model evaluation, you will design the benchmarks, methodologies, and data systems that shape how next-generation coding models are measured and improved.

What You'll Do

• 1. Design and own evaluation frameworks for coding agents, including benchmark specifications, scoring methodologies, rubrics, and quality standards.
• 2. Lead end-to-end research initiatives focused on measuring and improving coding model performance across diverse software engineering tasks.
• 3. Develop high-quality datasets, golden examples, and evaluation protocols that enable reliable assessment of frontier coding systems.
• 4. Analyze model behavior and failure modes, identifying systematic weaknesses and translating findings into actionable improvements for training and evaluation.
• 5. Build tooling and infrastructure that support large-scale experimentation, data generation, review workflows, and evaluation pipelines.
• 6. Establish best practices for coding-agent assessment, ensuring methodological rigor, reproducibility, and measurement quality.
• 7. Partner closely with researchers, engineers, and applied AI teams to design experiments and evaluate emerging model capabilities.
• 8. Contribute to technical reports, benchmark studies, and client-facing research initiatives that communicate model performance and insights.

What We're Looking For

• 1. Strong software engineering background with expertise in Python, C++, or comparable programming languages.
• 2. 3+ years of experience in software engineering, machine learning, AI research, evaluation, or related technical disciplines.
• 3. Experience designing, reviewing, or validating technical assessments, benchmarks, coding tasks, or evaluation methodologies.
• 4. Familiarity with large language models, coding agents, reinforcement learning, model evaluation, or related AI systems.
• 5. Proven ability to build tooling, automate workflows, and improve technical processes through systematic experimentation.
• 6. Strong analytical skills with the ability to investigate model behavior and derive insights from complex technical systems.
• 7. Excellent written and verbal communication skills, including the ability to clearly articulate technical findings to diverse audiences.
• 8. Comfortable operating in fast-moving research environments with significant ambiguity and evolving priorities.

Preferred

• 1. Experience working on frontier AI systems, coding agents, or model evaluation research.
• 2. Deep interest in understanding how data, evaluations, and feedback mechanisms influence model capabilities.
• 3. Track record of independently driving ambiguous technical or research projects from conception to execution.
• 4. Experience designing benchmarks or datasets for machine learning systems at scale.
• 5. Familiarity with agentic workflows, tool use, reinforcement learning, or post-training methodologies.
• 6. Publications, open-source contributions, or demonstrated technical leadership in AI, machine learning, or software engineering.

Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $200,000 –$260,000 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.

micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to [e-mail].

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.

What You’ll Do

• 1. Design and own evaluation frameworks for coding agents, including benchmark specifications, scoring methodologies, rubrics, and quality standards.
• 2. Lead end-to-end research initiatives focused on measuring and improving coding model performance across diverse software engineering tasks.
• 3. Develop high-quality datasets, golden examples, and evaluation protocols that enable reliable assessment of frontier coding systems.
• 4. Analyze model behavior and failure modes, identifying systematic weaknesses and translating findings into actionable improvements for training and evaluation.
• 5. Build tooling and infrastructure that support large-scale experimentation, data generation, review workflows, and evaluation pipelines.
• 6. Establish best practices for coding-agent assessment, ensuring methodological rigor, reproducibility, and measurement quality.