Senior Full Stack AI/ML Engineer

Who we are:Archipelago Analytics is a fast growing start-up working to revolutionize the quality of commercial property risk data and how it can be leveraged. Archipelago was founded in 2018 by tech and finance entrepreneurial veterans with previous leadership at RMS and Apple. We are internationally diverse and headquartered in San Francisco with additional offices in New York, India, and the Netherlands.NOTE: Hybrid role required to be in our New York City, New York Office at least 2 days a week or in San Francisco, CA.Who you are:Archipelago is seeking a Senior Full Stack AI/ML Engineer to join our growing labs team to work on Gen AI systems. We are looking for a ML engineer who is comfortable with working with full stack development. From building models that run in an extraction pipeline to UIs that test and evaluate the results of experiments. We iterate quickly, ship every day, build for the long term, and are looking for smart, independent engineers who want to apply their trade with like-minded people.Responsibilities :Designing and developing machine learning and deep learning systemsBuilding RAG pipelines with LLMsDesign and implement tracking and evaluation tools to assess model performance and data accuracy, focusing on product relevance based on user interaction feedbackImplementing appropriate ML algorithmsOrchestration of long running jobs for data extractionBuilding UIs to test & evaluate results of ML experimentsTranslate research papers into high-quality, production-ready codeShip code to production frequentlyCoach and mentor more junior engineersQualifications:5+ years experience as a Machine Learning Engineer or similar roleFamiliarity working with LLMs, prompt engineering and RAG frameworks (llamaindex)Understanding of data structures, data modeling and software architectureDeep knowledge of math, probability, statistics and algorithmsAbility to write robust code in PythonFamiliarity with machine learning frameworks (like Keras, PyTorch and XGBoost)Knowledge of how to deploy and maintain ML services in a production environmentExperience in designing and deploying feature engineering pipelines in productionExcellent communication skillsAbility to work in a teamOutstanding analytical and problem-solving skillsBonus Points:Experience building data ingestion pipelinesExperience with vector databases (e.g. qdrant)Familiarity with orchestration frameworks like Luigi or FlyteFamiliarity with gradio or streamlitExperience building applications for the insurance industryWhat success looks like in 12 months:Deploy a STP data extraction pipeline which extracts data from PDFs using LLMsBuild models that implement pattern recognition and data extractionDesign and implement a framework for backtesting the results of ML experimentsBuild a Gen AI driven copilot chatbot for interacting with documentsBenefits:We offer benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.Company Equity ProgramMedical, dental, vision and life insuranceFlexible Time OffMental Health programsRemote Office Reimbursement*All benefits are subject to change at management’s discretion.Salary Range in SF/NY: $120,000 - $150,000We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

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