技术成员,前沿人工智能
Member of Technical Staff, Frontier AI
职位名称:技术团队成员,前沿人工智能
职位类型:全职
工作地点:远程
职位描述
我们正在招聘一名技术团队成员(MTS),作为技术负责人,在研究、数据和现实世界AI系统交汇处开展工作。这是一个注重实践的角色,通过严格的评估、故障分析和迭代开发来提升模型和系统性能。
你将与研究人员、领域专家和操作人员紧密合作,确保实验工作产生干净、可辩护的研究信号,并将这些信号转化为部署系统中的实际改进。
职责内容
- 全程负责研究和评估项目:问题定义、数据设计、质量校准和信号验证。
- 设计面向机器学习的数据系统,包括任务定义、标注模式、评分标准、激励机制和优化的下游模型性能的流程。
- 分析模型和系统故障,识别根本原因、边缘情况和改进机会。
- 将模糊的现实系统行为转化为结构化的评估框架和新的数据类别。
- 与研究人员和领域专家紧密合作,早期校准质量并持续提高信号标准。
- 快速迭代评估、数据集和反馈循环,以提升系统性能。
- 担任质量关口:当信号强度或数据完整性不足时,阻止声明、暂停工作或强制调整范围。
- 与跨职能和面向客户的团队合作,将研究进展转化为基于证据的清晰、可信的叙述。
- 识别数据或评估覆盖的缺口,并根据学习成果和影响推荐投资、迭代或停止的方向。
我们寻找的人才
- 对研究信号质量和工作是否准备好外部化有很强的判断力。
- 有设计面向机器学习的数据集、评估框架和质量保证流程的经验。
- 能够将混乱的现实系统行为转化为结构化的研究和评估机会。
- 在不确定性中自如操作,具有所有权意识和果断行动的倾向。
- 清晰的书面和口头沟通能力,尤其是在向技术和非技术利益相关者解释权衡、限制和信号强度时。
- 有直接与专家在项目启动、校准和迭代过程中合作的实绩。
- 具备系统级思维,有兴趣提升端到端模型性能。
查看英文原文
Job Title: Member of Technical Staff, Frontier AI
Job Type: Full time
Location: Remote
The Role
We’re hiring a Member of Technical Staff (MTS) to act as a technical owner operating at the intersection of research, data, and real-world AI systems. This is a hands-on role focused on improving model and system performance through rigorous evaluation, failure analysis, and iterative development.
You’ll work closely with researchers, domain experts, and operators to ensure that experimental work produces clean, defensible research signal—and that this signal translates into meaningful improvements in deployed systems.
What You’ll Do
- Own research and evaluation initiatives end-to-end: problem framing, data design, quality calibration, and signal validation.
- Design ML-oriented data systems, including task definitions, annotation schemas, rubrics, incentives, and pipelines optimized for downstream model performance.
- Analyze model and system failures to identify root causes, edge cases, and opportunities for improvement.
- Translate ambiguous, real-world behavior into structured evaluation frameworks and new data categories.
- Work closely with researchers and domain experts to calibrate quality early and continuously raise the signal bar.
- Iterate rapidly on evaluations, datasets, and feedback loops to improve system performance.
- Act as a quality gate: block claims, pause work, or force scope changes when signal strength or data integrity is insufficient.
- Partner with cross-functional and client-facing teams to translate research progress into clear, credible narratives grounded in evidence.
- Identify gaps in data or evaluation coverage and recommend where to invest, iterate, or stop based on learnings and impact.
What We’re Looking For
- Strong judgment around research signal quality and when work is (or is not) ready to be externalized.
- Experience designing ML-oriented datasets, evaluation frameworks, and QA processes.
- Ability to translate messy, real-world system behavior into structured research and evaluation opportunities.
- Comfort operating in ambiguity, with a bias toward ownership and decisive action.
- Clear written and verbal communication, especially when explaining tradeoffs, limitations, and signal strength to technical and non-technical stakeholders.
- Proven ability to work directly with experts during project kickoff, calibration, and iteration.
- A systems-level mindset, with interest in improving end-to-end model or agent performance rather than isolated components.
Preferred
- Experience with reinforcement learning environments, simulators, or feedback-driven training systems.
- Experience improving agentic systems or AI systems operating in real-world workflows.
- Prior work embedded in applied research or production environments with direct impact on deployed systems.
- Experience with evaluation design for complex or real-world tasks.
- Familiarity with expert incentive design and engagement in high-stakes technical projects.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $240,000 –$350,000. 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 .
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.
Originally posted on Himalayas