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About Micro1: Job DescriptionJob Title: Member of Technical Staff, Coding ResearchJob Type: Full-timeLocation: RemoteThe RoleWe are seeking a Member of Technical Staff to help advance the evaluation and development of frontier coding agents. Sitting at the intersection of AI research, software engineering, and model evaluation, you will design the benchmarks, methodologies, and data systems that shape how next-generation coding models are measured and improved.What You'll DoDesign 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.What We're Looking ForStrong 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.PreferredExperience working on frontier AI systems, coding agents, or model evaluation research.Deep interest in understanding how data, evaluations, and feedback mechanisms influence model capabilities.Track record of independently driving ambiguous technical or research projects from conception to execution.Experience designing benchmarks or datasets for machine learning systems at scale.Familiarity with agentic workflows, tool use, reinforcement learning, or post-training methodologies.Publications, open-source contributions, or demonstrated technical leadership in AI, machine learning, or software engineering.Compensation & Benefits NoticeThe national pay range for this full-time position is base salary of $200,000 –$260,000 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.

About Micro1: Job DescriptionJob Title: Member of Technical Staff, Research EngineeringJob Type: Full-timeLocation: RemoteThe RoleWe are seeking a Research Engineer to operate at the frontier of Reinforcement Learning (RL), developing novel environments, training pipelines, and evaluation systems that advance the capabilities of modern AI models. This role sits at the intersection of research and production, translating experimental ideas into scalable, high-performance systems.What You’ll Work OnArchitect self-contained RL environments that capture complex, real-world tasks, including reward functions, verifiers, and evaluation logic.Design and scale episode pipelines and multi-component training processes (MCPs) to support reproducible experimentation.Build automated data generation systems, leveraging synthetic data to accelerate training cycles without compromising quality.Develop and integrate AI-driven evaluation and quality assurance systems for automated grading, validation, and feedback loops.Fine-tune and optimize open-source RL models using internally generated datasets and custom training strategies.Establish benchmarking frameworks to measure model capability, robustness, and data quality across tasks.Contribute to the release and analysis of evaluations on internal and external benchmark platforms (e.g., micro1 benchmarks).What We're Looking ForDeep experience in Reinforcement Learning, including environment design and training dynamics.Strong track record of building and scaling RL systems, pipelines, or experimentation frameworks.Proficient in automation and data generation, including synthetic data pipelines.Familiar with automated evaluation systems, model validation, and quality assurance workflows.Experienced in fine-tuning and evaluating open-source ML models.Clear, concise communicator with strong technical writing skills.Comfortable operating in fast-paced, research-driven, and highly collaborative environments.PreferredExperience publishing benchmarks, evaluations, or research artifacts.Familiarity with evaluation ecosystems (e.g., micro1 benchmarks or similar frameworks).Background in scalable infrastructure for large-scale RL experimentation.Compensation & Benefits NoticeThe national pay range for this full-time position is base salary of $200,000 –$300,000 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.DisclaimerThe 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.

About Micro1: Job DescriptionJob Title: Member of Technical Staff, Enterprise AIJob Type: Full-timeLocation: RemoteThe RoleAs 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 DoEmbed 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 AreMaster’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.PreferredStrong 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 NoticeThe national pay range for this full-time position is base salary of $200,000 –$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.DisclaimerThe 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.

About Micro1: Job DescriptionJob Title: Member of Technical Staff, Frontier AIJob Type: Full timeLocation: RemoteThe RoleWe’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 DoOwn 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 ForStrong 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.PreferredExperience 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 NoticeThe 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 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.DisclaimerThe 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.

About Micro1: Job DescriptionJob Title: Forward Deployed EngineerJob Type: Full-timeLocation: Remote / Travel-requiredThe RoleWe’re hiring a Forward Deployed Engineer 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 OnWork 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 ForAble 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 QualificationsBackground 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 NoticeThe 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.DisclaimerThe 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.