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About Micro1: Job Type: Full-timeLocation: RemoteJob Summary: Join our team as a Member of Technical Staff, AI/ML Engineering, and drive the development of cutting-edge AI systems. Work alongside talented engineers to design, implement, and optimize advanced LLM-based solutions, leveraging your expertise in quantitative fields to create impactful, scalable products.Key Responsibilities:• Design, build, and deploy AI/ML solutions with a focus on large language models (LLMs) using Python and AWS infrastructure.• Architect scalable APIs and microservices utilizing FastAPI, ensuring robust, high-performance systems.• Integrate LangChain and advanced AI frameworks to deliver innovative model interaction capabilities.• Collaborate with cross-functional teams to translate complex mathematical, statistical, or physics-based problem statements into actionable engineering solutions.• Apply core math, statistics, or physics knowledge to improve model performance, interpretability, and reliability.• Maintain high standards of code quality, documentation, and peer reviews within a fast-paced core team.• Communicate technical concepts and project progress clearly through both written reports and verbal discussions.Required Skills and Qualifications:• Advanced degree or demonstrable expertise in math, quantitative sciences, statistics, or physics.• Expert proficiency in Python for AI/ML engineering.• Hands-on experience deploying, fine-tuning, and integrating LLMs.• Strong background in AWS services and cloud-native ML workflows.• Proven track record using LangChain for chaining LLMs and orchestrating multi-step reasoning.• Solid understanding of FastAPI for building scalable APIs.• Exceptional written and verbal communication skills; ability to articulate complex technical topics with clarity.Preferred Qualifications:• Experience delivering AI/ML solutions in production environments at scale.• Publication record or open-source contributions in AI/ML, applied mathematics, or computational science.• Familiarity with advanced prompt engineering or AI safety best practices.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.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 DescriptionRole Title: Chemistry Professor/Researcher (PhD)Role Type: ContractorLocation: Remotemicro1 is engaging Chemistry Professors and Researchers (PhD) to contribute their academic expertise and subject mastery for a customer’s initiative. 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 WorkDesign, review, and refine chemistry content, questions, and real-world scenarios for AI training and evaluation purposes.Assess and provide feedback on the accuracy, relevance, and clarity of complex chemistry materials and solutions.Contribute to the development of datasets by curating and annotating chemistry-related texts and problems.Utilize pedagogical experience to ensure teaching materials are instructive and accessible for a range of learners.Research and identify emerging trends or gaps in chemical education that can inform AI model improvement.Participate in collaborative discussions, providing both written and verbal feedback to advance project goals.Preferred QualificationsPhD in Chemistry or near completion of a doctoral degree in Chemistry (ABD candidates considered).Proven record of teaching at the undergraduate or graduate level, with ability to communicate chemistry concepts clearly.Demonstrated experience in chemical research and scholarly publication.Strong written and verbal communication skills; demonstrated attention to detail in academic contexts.Familiarity with current pedagogical strategies and curriculum design in chemistry education.Experience collaborating with interdisciplinary teams or contributing to educational projects.Ability to work independently, manage assignments efficiently, and deliver high-quality results remotely.

About Micro1: Job Title: Computational Biology Expert (PhD)Job Type: ContractorLocation: RemoteJob Summary: 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.Key Responsibilities:Leverage your biology domain expertise to evaluate, annotate, and benchmark AI systems in real-world computational biology use cases.Assess the accuracy, relevance, and performance of AI-generated outputs in genomics, transcriptomics, and systems biology scenarios.Apply advanced analytical reasoning to critically review scientific workflows and pipelines, identifying strengths and areas for improvement.Collaborate with interdisciplinary teams, providing feedback on AI model performance based on biological context.Document observations and findings with clarity, highlighting scientific rationale and actionable insights.Communicate complex concepts effectively through both written and verbal channels to technical and non-technical stakeholders.Stay current on emerging trends in computational biology, bioinformatics, and machine learning in biology.Required Skills and Qualifications:PhD in Biology, Bioinformatics, or a closely related field, or equivalent industry/research experience.Proven experience in data-driven biological research and computational analysis workflows.Proficiency with scripting (Python, R, Bash) and scientific tools such as BWA, GATK, STAR, Salmon, Seurat, or Scanpy would be ideal.Deep understanding of genomics, transcriptomics, structural biology, or systems biology is desirable.Excellent scientific reasoning, analytical, and problem-solving abilities.Strong written and verbal communication skills, with the ability to articulate findings and collaborate effectively.Comfort working remotely and contributing to distributed teams.Preferred Qualifications:Experience with AI/ML or LLM evaluation in a biology context.Hands-on experience with NGS pipelines, CRISPR workflows, AlphaFold, or PyMOL.Published research or contributions to open-source projects in computational biology or bioinformatics.

About Micro1: Job Title: Computational Chemistry Expert (PhD)Job Type: ContractorLocation: RemoteJob Summary: 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.Key Responsibilities:Design, evaluate, and critique advanced computational chemistry workflows to support AI benchmarking initiatives.Provide expert-level insights on molecular simulations, electronic structure methods, and cheminformatics pipelines.Assess and optimize simulation parameters and scientific software configurations for accuracy and reproducibility.Analyze data from molecular dynamics, quantum chemistry, and drug discovery projects, providing actionable recommendations.Leverage domain knowledge to guide the development and validation of chemistry-related AI models and tools.Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.Required Skills and Qualifications:PhD in chemistry, computational chemistry, or closely related field, or equivalent industry/research experience.Deep expertise with computational chemistry methods and simulation-heavy environments is desirable.Proficiency with industry-standard tools such as Gaussian, ORCA, Psi4, NWChem, GROMACS, LAMMPS, AMBER, RDKit, or OpenBabel would be ideal.Strong scientific programming and analytical workflow experience, especially using Python.Excellent quantitative, analytical, and scientific reasoning skills.Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.Track record of rigorous scientific problem-solving in complex chemistry domains.Preferred Qualifications:Experience with AI/ML-assisted chemistry workflows or benchmarking.Peer-reviewed publications, patents, or contributions to open-source scientific software.Background in drug discovery, spectroscopy analysis, or reaction prediction/retrosynthesis.

About Micro1: Recruitment Marketing Specialist: Job Type: Full-timeLocation: RemoteJob Summary: Join our team as a Recruitment Marketing Specialist and play a pivotal role in driving talent acquisition through innovative marketing strategies. You will spearhead the planning, execution, and analysis of recruitment marketing campaigns, ensuring our initiatives attract top talent and deliver measurable impact. This is a dynamic opportunity to leverage your expertise in recruitment marketing and project management within a collaborative, fully remote environment.Key Responsibilities:Own and maintain the supply marketing team’s projects, keeping all initiatives organized, prioritized, and up to date.Coordinate marketing projects from inception to execution, aligning stakeholders on deliverables and timelines throughout the process.Manage the seamless production and delivery of both organic and paid content across acquisition channels.Oversee the marketing content pipeline, working closely with content creators to ensure timely and quality output.Track, analyze, and report on the performance of marketing campaigns across paid ads, job boards, social media, email, and other platforms.Surface actionable insights from campaign and channel data, providing clear recommendations to optimize performance and achieve recruitment goals.Champion effective communication across teams, ensuring alignment and transparency in all project stages.Required Skills and Qualifications:Proven experience in recruitment marketing, employer branding, or talent acquisition marketing roles.Strong project management skills with a history of coordinating multiple complex initiatives simultaneously.Demonstrated expertise in campaign performance monitoring and data-driven optimization.Exceptional written and verbal communication abilities, with an emphasis on clarity and stakeholder alignment.Experience managing content calendars and collaborating with cross-functional teams including content creators and recruiters.Proficiency with analytics tools and platforms such as Google Analytics, applicant tracking systems, and marketing dashboards.Detail-oriented, highly organized, and able to thrive in a fast-paced, remote team environment.Preferred Qualifications:Background in B2B or high-growth technology environments.Familiarity with paid advertising for recruitment (e.g., job board ads, programmatic platforms).Experience with employer branding initiatives and creative recruitment campaigns.