Member of Technical Staff, Coding Research

The artificial intelligence landscape is evolving at a breakneck speed, moving past basic chat interfaces and simple text completion into autonomous code generation, multi-file software engineering, and complex agentic workflows. As foundation model labs race to build the ultimate software engineering assistants, the defining bottleneck is no longer raw compute—it is rigorous evaluation, benchmark design, and model alignment.

For elite software engineers, machine learning researchers, and AI scientists looking to make a monumental impact at the bleeding edge of technology, micro1 has opened an exceptional full-time remote role: Member of Technical Staff, Coding Research. Offering a staggering total compensation package ranging from $600,000 to $1,300,000 per year (including a base salary of $200,000–$260,000, equity, and performance bonuses), this core team position places you directly at the helm of defining how the next generation of artificial intelligence systems reasons through complex codebases.

Whether you are an accomplished machine learning practitioner or an expert software engineer eager to transition into core AI systems research, this comprehensive guide covers everything you need to know about the role, required technical competencies, compensation structure, and a step-by-step roadmap to complete your application.

The Mission: Advancing Frontier Coding Agents

Traditional software engineering benchmarks have historically relied on static unit tests and simple algorithmic problem sets. However, modern software engineering involves multi-step reasoning, architectural planning, codebase navigation, refactoring, and debugging across massive repositories. When foundation models attempt these complex tasks, they frequently suffer from subtle hallucinations, context window degradation, and logic flaws.

As a Member of Technical Staff for Coding Research at micro1, you sit at the exact intersection of AI research, machine learning systems, and software engineering. Your core objective is to design the measurement standards, evaluation frameworks, and testing methodologies that determine whether a coding agent is truly capable of functioning autonomously in enterprise engineering environments.

Core Responsibilities and Scope of Work:

• Evaluation Framework Ownership: Design, build, and maintain comprehensive evaluation frameworks for coding agents, establishing rigorous benchmark specifications, automated scoring rubrics, and quality standards.
• End-to-End Research Initiatives: Lead pioneering research initiatives focused on measuring and systematically improving coding model performance across diverse real-world software engineering workloads.
• Dataset & Golden Example Creation: Develop high-quality evaluation datasets, golden reference solutions, and testing protocols that enable precise, reproducible assessment of frontier coding systems.
• Model Behavior & Failure Mode Analysis: Investigate model outputs and failure modes, identifying systematic architectural weaknesses and translating analytical findings into actionable improvements for training loops.
• Infrastructure & Tooling Development: Build robust internal tooling and data infrastructure to support large-scale experimentation, automated data generation, human-in-the-loop review workflows, and evaluation pipelines.
• Cross-Functional Collaboration: Partner closely with core AI researchers, infrastructure engineers, and applied machine learning teams to design experiments and evaluate emerging model capabilities.

Required Qualifications and Technical Background

Because micro1 powers the human intelligence layer for leading AI laboratories, hiring standards are exceptionally high. Candidates are expected to demonstrate elite technical proficiency across software engineering and artificial intelligence:

• Core Programming Mastery: Strong software engineering background with expert-level proficiency in Python, C++, or comparable programming languages.
• Industry Experience: 3+ years of professional experience in software engineering, machine learning, AI research, model evaluation, or related technical disciplines.
• Benchmark & Assessment Experience: Demonstrated history of designing, reviewing, or validating technical assessments, coding benchmarks, or complex evaluation methodologies.
• AI & LLM Familiarity: Deep working familiarity with large language models, coding agents, reinforcement learning from human feedback (RLHF), model evaluation frameworks, and post-training techniques.
• Systems Building Acumen: Proven track record of building internal tooling, automating complex workflows, and scaling technical processes through systematic experimentation.
• Strong Analytical & Communication Skills: Exceptional analytical capabilities with the ability to dissect complex model behavior and articulate technical findings clearly to diverse internal and external stakeholders.

Preferred Experience That Stands Out:

• Direct experience working on frontier AI systems, coding assistants, or dedicated model evaluation research teams.
• A demonstrable track record of independently driving ambiguous research projects from initial conception to production execution.
• Experience designing large-scale datasets or benchmarks for machine learning systems.
• Published research papers, open-source contributions, or recognized technical leadership in AI, machine learning, or systems engineering.

Unmatched Compensation, Benefits, and Remote Culture

micro1 is committed to attracting world-class technical talent by offering compensation packages that compete directly with top-tier tech giants:

• Top-Tier Total Compensation: A lucrative annual total compensation package ranging from $600,000 to $1,300,000, combining a competitive base salary ($200k–$260k), meaningful equity ownership, and performance-based bonuses.
• Comprehensive Health Coverage: Up to 100% reimbursement for health insurance premiums, ensuring robust medical security for you and your family.
• Remote-First Flexibility: Operate from anywhere in a high-performing, asynchronous remote work environment designed for deep focus and engineering autonomy.
• Robust Benefits Suite: Generous paid time off (PTO), 401(k) retirement plans with company matching, and comprehensive wellness perks.

Step-by-Step Guide to Completing Your Application Successfully

Landing a core team role at the frontier of AI research requires precision and thoroughness. Follow these essential steps to ensure your application stands out during micro1’s AI-assisted and human-reviewed screening process:

1. Tailor Your Resume to AI Evaluation & Systems: Highlight your experience with LLMs, benchmark design, automated testing pipelines, and complex Python/C++ software architectures.
2. Showcase Open-Source or Research Contributions: If you have published papers, maintained popular developer tools, or contributed to major AI evaluation frameworks, ensure they are prominently featured.
3. Complete Application Portals Fully: micro1 utilizes AI recruitment screening tools to process incoming talent efficiently. Complete every section of the application thoroughly, providing detailed, high-impact responses.
4. Share With Your Network: If you know elite software engineers or machine learning researchers who thrive in fast-paced research environments, encourage them to apply using your network connection link to explore these career-defining opportunities.

Take the next major leap in your engineering career and help define the intelligence benchmarks that power the future of software development.