Member of Technical Staff, Enterprise AI (Evals & Agentic Workflows) (Remote, Full-time, $180k–$250k/yr) — Micro1 via AI Gig Scout

Member of Technical Staff, Enterprise AI — Micro1 via AI Gig Scout

Pay: $180k–$250k/yr · Location: Remote · Type: Full-time

Full listing and apply link: https://aigigscout.com/jobs/micro1/member-of-technical-staff-enterprise-ai-e6a1ecd1?utm_source=kubernetesjobs&utm_medium=jobboard&utm_campaign=aigigscout_growth

Job Title: Member of Technical Staff, Enterprise AI

Job Type: Full-time

Location: Remote

The Role

As a Member of Technical Staff, you will function as a forward-deployed research partner embedded directly within enterprise AI systems. You will work on live workflows, uncover real-world failure modes, and drive rapid experimental cycles to improve system performance.

What You’ll Do

- Embed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams.

- Surface, formalize, and prioritize system failure modes in real-world deployments.

- Design high-signal datasets and evaluation protocols to target identified weaknesses.

- Run tight experimental loops to validate hypotheses and quantify improvements.

- Produce clear, decision-oriented analyses of system behavior and performance.

- Develop and benchmark agentic workflows, focusing on robustness and scalability.

- Build lightweight tooling to support evaluation, data curation, and rapid iteration.

- Contribute to internal and external research artifacts, including reports and benchmarks.

Who You Are

- Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.

- Strong judgment for research signal quality, including data selection and evaluation design.

- Experience designing datasets and evaluation frameworks for ML systems.

- Ability to translate ambiguous operational issues into structured research problems.

- Familiarity with RL environments and/or agentic system evaluation.

- Clear, concise communicator with a bias toward actionable insight.

- Proven ability to execute in fast iteration cycles and high-ambiguity settings.

- Collaborative mindset with experience working across research, product, and domain teams.

Preferred

- Strong client-facing experience, particularly in technical or research-driven environments.

- Experience building internal research or evaluation tooling.

- Contributions to benchmarks, research publications, or open research initiatives.

- Exposure to enterprise AI deployments or forward-deployed research models.

Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $180,000 –$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.

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 support@micro1.ai.

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.

Required skills

Research Signal Judgment

ML-Oriented Data Design

Ops-to-Research Translation

Enterprise AI

What you'll do

Embed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams.

Surface, formalize, and prioritize system failure modes in real-world deployments.

Design high-signal datasets and evaluation protocols to target identified weaknesses.

Run tight experimental loops to validate hypotheses and quantify improvements.

Produce clear, decision-oriented analyses of system behavior and performance.

Develop and benchmark agentic workflows, focusing on robustness and scalability.

Build lightweight tooling to support evaluation, data curation, and rapid iteration.

Contribute to internal and external research artifacts, including reports and benchmarks.

Requirements

Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.

Strong judgment for research signal quality, including data selection and evaluation design.

Experience designing datasets and evaluation frameworks for ML systems.

Ability to translate ambiguous operational issues into structured research problems.

Familiarity with RL environments and/or agentic system evaluation.

Clear, concise communicator with a bias toward actionable insight.

Proven ability to execute in fast iteration cycles and high-ambiguity settings.

Collaborative mindset with experience working across research, product, and domain teams.

Preferred qualifications

Strong client-facing experience, particularly in technical or research-driven environments.

Experience building internal research or evaluation tooling.

Contributions to benchmarks, research publications, or open research initiatives.

Exposure to enterprise AI deployments or forward-deployed research models.

Compensation

The national pay range for this full-time position is base salary of $180,000 –$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.

Source: AI Gig Scout job page. Apply there for the original platform listing. Disclosure: posted by AI Gig Scout, an independent listing site (not Micro1); the apply link may be a referral link.