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Member of Technical Staff, Coding Research

micro1
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Remote$200k - $260kFull-timePosted 1mo ago

About the role

Member of Technical Staff focused on evaluation and development of frontier coding agents. Works at the intersection of AI research, software engineering, and model evaluation to design benchmarks, methodologies, and data systems for measuring and improving next-generation coding models.

Responsibilities

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

Qualifications

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

Skills

Required:Software EngineeringBenchmark DesignModel EvaluationExperimentation & ToolingCommunication

Benefits

  • equity compensation
  • performance-based bonuses, dependent on role and subject to company policies
  • health-insurance premium reimbursement up to 100%
  • paid time off
  • 401(K) plan with a company match
  • remote-first workforce accommodations
Last updated Oct 11, 2026. Interested? Apply on the company site.

About micro1

Data lab to train frontier models & evaluate agents

We’re building the infrastructure for advancing intelligence through expert human data, real-world training environments, and contextual evaluations.

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