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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: 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.

About Micro1: Job DescriptionJob Title: Associate Forward Deployed Engineer (aFDE)Job Type: Full-timeLocation: RemoteWork Arrangement: Hourly, with expected weekly hours agreed upfrontThe RoleWe’re hiring junior engineers to help scale data ingestion and customer data workflows.You’ll work alongside core FDEs to prepare and transfer data, troubleshoot issues, build scripts and automations, and keep customers informed. You’ll start with clearly scoped responsibilities and receive guidance as you take on more technical ownership.The initial work will combine hands-on engineering with operational execution, with the opportunity to grow into a full FDE role over time.What You’ll DoHelp customers bring their data into the platform, from initial preparation through successful transfer and validation.Build and improve scripts, integrations, and automations that make data ingestion faster and more reliable.Investigate and resolve technical issues across APIs, data formats, and transfer workflows, with support from core FDEs.Monitor active workflows, identify gaps, and verify that customer data arrives complete and accurate.Work directly with customers and internal teams to communicate progress and move past blockers.Turn recurring issues into better tooling, documentation, and reusable workflows.Take on increasingly complex technical work as your experience and ownership grow.What We’re Looking ForFoundational programming skills, including the ability to write and debug basic scripts in Python or a similar language.Familiarity with APIs and comfort using command-line tools and Git.A methodical approach to troubleshooting and willingness to ask for help when needed.Strong ownership, reliability, and attention to detail.Clear written communication with customers and internal teams.Ability to follow runbooks, recognize their limitations, and suggest improvements.Sound judgment around sensitive data and production systems.Curiosity, initiative, and a desire to take on increasing engineering responsibility.Nice to HaveExperience with SQL, data pipelines, or large datasets.Familiarity with cloud storage and data-transfer workflows.Experience working in Linux environments.Familiarity with formats such as JSON, CSV, or Parquet.Experience using AI coding tools to build and debug, with careful review of their output.Experience in a startup or customer-facing technical role.

About Micro1: Job DescriptionRole Title: Software Engineer — Open Source ContributionsRole Type: ContractorLocation: Remotemicro1 is engaging Software Engineer — Open Source Contributions experts to participate in an impactful customer project focused on high-quality, open source software development. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Scope of WorkDevelop, implement, and refine new features within existing open source codebases using Python3, Java, Rust, C++, and Typescript.Analyze and resolve complex bugs, ensuring robust and maintainable solutions that align with project standards.Refactor and optimize legacy code to enhance performance, readability, and scalability.Contribute to code validation processes, focusing on accuracy, output consistency, and best coding practices.Utilize advanced algorithms and competitive programming techniques to conceptualize and deliver efficient solutions for intricate problems.Collaborate remotely with other contributors to review proposed changes and maintain project documentation.Deliver clear, concise technical write-ups to articulate solution design and implementation details.Preferred QualificationsExpert-level proficiency in at least two of the following: Python, C++, Java, Rust, Typescript, Go, or C#.Extensive experience in open source contributions, particularly in feature development, bug fixing, and codebase refactoring.Demonstrated expertise in competitive programming and complex coding problem analysis.Strong analytical skills to interpret multifaceted problem constraints and identify multiple solution pathways.Exceptional written and verbal communication skills for clear, precise technical documentation and peer collaboration.Meticulous attention to detail in code review, validation, and maintenance.Comfort working independently in a remote, collaborative environment with a commitment to producing high-quality, well-documented code under project deadlines.Compensation StructureCompensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.Start Timeline & AvailabilityWe typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.