Archipelago Analytics

Who we are:

Welcome to Archipelago, where we're redefining the landscape of commercial property insurance with our AI-powered data network. We believe in the power of accurate information to drive meaningful business decisions and offer solutions to generate that accurate information as easily and efficiently as possible. By connecting brokers, owners, and insurers, we empower our customers to navigate the complexities of the property insurance and risk management processes with confidence.

Archipelago was founded in 2018 and serves many of the world’s largest property brokers and their clients, representing over 500 of the worlds largest and most dynamic commercial property portfolios to improve their data and better represent their risks. Archipelago has achieved Series B funding from industry-leading investment partners including Scale, Canaan Partners, Ignition Partners, Prologis Ventures, Stone Point Capital, and Zigg Capital.

Join us at Archipelago and be part of a team dedicated to transforming the commercial property insurance industry. We're seeking individuals with a passion for innovation, a commitment to excellence, and a drive to further elevate and empower our customers.

If you're ready to make a meaningful impact and be part of a dynamic, forward-thinking company, we invite you to explore our job opportunities and join us on our journey to keep data accurate and workflows seamless.

NOTE: Candidates to be located in New York, NY metro area only as we are looking to build co-located clusters of employees that can meet in an office for collaboration and design. This is a hybrid role and we expect this hire to be in our New York City, New York Office at least 2 days a week.

Who you are:

Archipelago is seeking a Senior Machine Learning Engineer to join our growing labs team to work on Gen AI systems. We are looking for an engineer who is comfortable working with full stack development. We iterate quickly, build for the long term, and are looking for smart, independent engineers who want to apply their trade with like-minded people.

As an example, here are some projects we have worked on in the last year.

• Building models that extract information from 100+page engineering documents. (LLMs + RAG pipelines)
• Building a process to send out low-confidence predictions for HITL review and then incorporating feedback to improve our models.
• Building an AI agent that can extract insurance information from PDFs, and format that into a standardized excel workbook.
• Defining and estimating the impact that our information extraction processes have on our client’s insurance portfolios

Responsibilities:

• Designing and developing machine learning and deep learning systems
• Building RAG pipelines with LLMs
• Building Agentic AI applications
• Design and implement tracking and evaluation tools to assess model performance and data accuracy.
• Implementing appropriate ML algorithms
• Orchestration of long running jobs for data extraction
• Building UIs to test & evaluate results of ML experiments
• Ship code to production frequently
• Coach and mentor more junior engineers

Qualifications:

• 3+ years experience as a Machine Learning Engineer or similar role.
• Familiarity working with modern NLP techniques: (LLMs, prompt engineering, RAG frameworks, AI Agents)
• Fluent in Python and SQL
• Knowledge of how to deploy, monitor and maintain ML services in a production environment (AWS, CI/CD, Datadog, Snowflake)
• Experience in designing and deploying feature engineering pipelines in production

Bonus Points:

• 5+ years experience as a Machine Learning Engineer or similar role
• Experience building applications for the insurance industry.
• Experience in evaluating machine learning techniques in B2B context.
• Familiarity with job orchestration frameworks (e.g Airflow, but especially Flyte)
• Familiarity with MLOps (Docker, Kubernetes, Amazon Sagemaker, AWS Lambda)
• Experience building data ingestion pipelines
• Experience with vector databases (e.g. qdrant, Pinecone)
• Familiarity with building lightweight front-end apps. (gradio, streamlit, dash)
• Experience with Go
• Experience with working with human in the loop review processes

Benefits:

We offer benefits regardless of where you are in your career. Providing our employees the means to lead healthy, balanced lives results in the best possible work performance.

• Company Equity Program
• Medical, dental, vision and life insurance
• Flexible Time Off
• Mental Health programs
• All benefits are subject to change at management’s discretion.

We 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.