Member of Technical Staff, Cortex Lab (applied AI research)

Gradient Consulting; Time; A distancia; NOK 1.890.000 - 2.363.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity compensation

Health insurance reimbursement

401(K) plan with company match

Remote-first workforce

Descripción de la vacante

micro1 is seeking a Member of Technical Staff for Cortex Lab (applied AI research) in a remote role. You will develop, evaluate, and improve AI agents and LLM-powered systems used in real-world enterprise workflows.

You will design evaluation frameworks, run rapid experiments, and collaborate with researchers, engineers, and customers to push the boundaries of reliable AI systems. Equity and robust benefits are offered.

Formación

• Strong background in applied AI research, research engineering, ML, or LLM-based systems.
• Hands-on experience designing evaluations for AI agents and end-to-end workflows.
• Strong Python programming and building evaluation pipelines.

Responsabilidades

• Design evaluation frameworks, benchmarks, and datasets for LLM-powered agents.
• Identify and analyze model and workflow failures in production.
• Run rapid experiments to validate hypotheses and improve agent reliability.
• Partner with customers and researchers to evaluate, deploy, and optimize AI systems.
• Develop training data, task specs, and feedback mechanisms to improve performance.
• Build Python-based evaluation pipelines and lightweight research infra.
• Collaborate across research, engineering, and customer teams on evaluation strategies.
• Contribute to reports, benchmarks, and insights for future system improvements.

Conocimientos

Applied AI research

Python programming

Experimental design

Team collaboration

Herramientas

Python

Evaluation tooling

ML infrastructure

Descripción del empleo

Job Title:

Member of Technical Staff, Cortex Lab (applied AI research)

Job Type:

Full-time

Location:

Remote

We're hiring a Member of Technical Staff (MTS) to develop, evaluate, and improve AI agents and LLM-powered systems operating in real-world enterprise workflows.

What You'll Do

• Design and implement evaluation frameworks, benchmarks, and datasets for LLM-powered agents and complex AI workflows.
• Identify, analyze, and prioritize model, agent, and workflow failures in real-world production environments.
• Run rapid experiments to validate hypotheses, measure performance, and improve agent reliability and effectiveness.
• Partner with enterprise customers and researchers to evaluate, deploy, and optimize AI systems across production workflows.
• Develop high-quality training and evaluation data, task specifications, and feedback mechanisms to improve system performance.
• Build Python-based evaluation pipelines, experimentation tools, and lightweight research infrastructure.
• Collaborate with researchers, domain experts, and customer stakeholders to define evaluation strategies and optimization roadmaps.
• Contribute to technical reports, benchmarks, and research insights that inform future system improvements.

What We're Looking For

• Strong background in applied AI research, research engineering, machine learning, or LLM-based systems.
• Hands-on experience designing and implementing evaluations for AI agents, including tool use, multi-step workflows, and task completion.
• Strong Python programming skills and experience building evaluation pipelines, experimental tooling, or ML infrastructure.
• Experience developing benchmarks, datasets, evaluation metrics, and experimental methodologies for AI systems.
• Ability to analyze agent failures, identify root causes, and translate findings into measurable performance improvements.
• Understanding of LLM behavior, agentic architectures, and common challenges in reliability, robustness, and generalization.
• Ability to translate ambiguous real-world problems into structured experiments and actionable technical solutions.
• Strong collaboration and communication skills, with the ability to work across research, engineering, and customer teams.

Preferred Qualifications

• Experience evaluating or optimizing AI agents in production or enterprise environments.
• Familiarity with reinforcement learning, reward modeling, or post-training techniques.
• Experience building research infrastructure, evaluation tooling, or automated experimentation frameworks.
• Prior experience at a frontier AI lab or in an applied AI research environment.
• Contributions to research publications, open-source benchmarks, or AI evaluation frameworks.
• Experience collaborating directly with enterprise customers or technical stakeholders.

Compensation & Benefits

Notice The national pay range for this full-time position is base salary of $200,000 -$250,000 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.

Equal Opportunity Statement

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].

Hiring Process

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.