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Shared by 
4 days ago
Requirements and responsibilities
The Role
We’re hiring a Member of Technical Staff, Forward Deployed to work directly with the world’s leading AI labs and enterprises as a technical research and implementation partner. This role sits at the intersection of applied AI, ML infrastructure, data intelligence, and partner-facing product development.
You’ll help strategic partners define research directions, structure and curate high-quality data, implement ML and evaluation pipelines, and build the agentic systems that extend multi-turn agents and workflows in production. You should be comfortable moving between ambiguous research questions, technical architecture, hands-on engineering, and partner-facing execution.
What You’ll Work On
- Work directly with leading AI labs and enterprise partners to define research goals, technical requirements, and project direction.
- Build large-scale data intelligence systems for collecting, organizing, evaluating, and improving training and evaluation data.
- Implement ML pipelines for data curation, model training, evaluation, experimentation, and continuous improvement.
- Design data taxonomies, labeling systems, and quality frameworks that improve dataset structure, model performance, and research outcomes.
- Develop LLM applications, including multi-agent systems, tool-using agents, RAG workflows, evaluation harnesses, and human-in-the-loop systems.
- Partner with research and engineering teams to translate ambiguous AI problems into scoped technical projects and production systems.
- Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms.
- Build systems that help partners move from one-off AI experiments to reliable, repeatable, multi-turn agent workflows.
- Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, iteration, and partner success.
What We're Looking For
- Able to operate independently in ambiguous, partner-facing settings with strong technical and product ownership.
- Strong Python engineer with experience building and shipping production systems end to end.
- Experience working with LLMs, agentic systems, multi-turn workflows, tool use, RAG, or AI automation.
- Built or maintained data pipelines, ML infrastructure, evaluation systems, or research workflows.
- Strong understanding of data quality, taxonomy design, labeling workflows, and dataset curation for AI systems.
- Comfortable working directly with technical partners, researchers, founders, and enterprise stakeholders.
Preferred Qualifications
- Background at a startup, AI infrastructure company, applied AI company, or research-focused engineering team.
- Experience building systems for multi-turn agents, agent evaluation, workflow automation, or human-in-the-loop AI.
- Experience designing data taxonomies, annotation systems, evaluation rubrics, or dataset quality pipelines.
- Experience acting as a technical partner to external customers, research teams, or strategic enterprise accounts.
- Familiarity with modern LLM tooling, agent frameworks, model evaluation stacks, and ML experimentation platforms.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $150,000 –$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.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)