Archipelago Analytics Inc.
Senior Machine Learning Engineer
Archipelago Analytics Inc., New York, New York, us, 10261
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: Hybrid role required 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 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 systems
Building RAG pipelines with LLMs
Design and implement tracking and evaluation tools to assess model performance and data accuracy, focusing on product relevance based on user interaction feedback
Implementing appropriate ML algorithms
Orchestration of long running jobs for data extraction
Building UIs to test & evaluate results of ML experiments
Translate research papers into high-quality, production-ready code
Ship code to production frequently
Coach and mentor more junior engineers
Qualifications:
5+ years experience as a Machine Learning Engineer or similar role
Familiarity working with LLMs, prompt engineering and RAG frameworks (llamaindex)
Understanding of data structures, data modeling and software architecture
Deep knowledge of math, probability, statistics and algorithms
Ability to write robust code in Python, JavaScript
Familiarity with machine learning frameworks (like Keras, PyTorch and XGBoost)
Knowledge of how to deploy and maintain ML services in a production environment
Experience in designing and deploying feature engineering pipelines in production
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem-solving skills
Bonus Points:
Experience building data ingestion pipelines
Experience with vector databases (e.g. qdrant, Pinecone)
Familiarity with orchestration frameworks like Luigi or Flyte
Familiarity with gradio or streamlit
Experience building applications for the insurance industry.
What success looks like in 12 months:
Deploy a STP data extraction pipeline which extracts data from PDFs using LLMs
Build models that implement pattern recognition and data extraction
Design and implement a framework for backtesting the results of ML experiments
Build a Gen AI driven copilot chatbot for interacting with documents
Benefits:
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.
Remote First Strategy
Company Equity Program
Medical, dental, vision and life insurance
Flexible Time Off
Mental Health programs
Remote office reimbursement
*All benefits are subject to change at management’s discretion.
Salary Range in CA/NY: $120,000 - $200,000
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.
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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: Hybrid role required 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 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 systems
Building RAG pipelines with LLMs
Design and implement tracking and evaluation tools to assess model performance and data accuracy, focusing on product relevance based on user interaction feedback
Implementing appropriate ML algorithms
Orchestration of long running jobs for data extraction
Building UIs to test & evaluate results of ML experiments
Translate research papers into high-quality, production-ready code
Ship code to production frequently
Coach and mentor more junior engineers
Qualifications:
5+ years experience as a Machine Learning Engineer or similar role
Familiarity working with LLMs, prompt engineering and RAG frameworks (llamaindex)
Understanding of data structures, data modeling and software architecture
Deep knowledge of math, probability, statistics and algorithms
Ability to write robust code in Python, JavaScript
Familiarity with machine learning frameworks (like Keras, PyTorch and XGBoost)
Knowledge of how to deploy and maintain ML services in a production environment
Experience in designing and deploying feature engineering pipelines in production
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem-solving skills
Bonus Points:
Experience building data ingestion pipelines
Experience with vector databases (e.g. qdrant, Pinecone)
Familiarity with orchestration frameworks like Luigi or Flyte
Familiarity with gradio or streamlit
Experience building applications for the insurance industry.
What success looks like in 12 months:
Deploy a STP data extraction pipeline which extracts data from PDFs using LLMs
Build models that implement pattern recognition and data extraction
Design and implement a framework for backtesting the results of ML experiments
Build a Gen AI driven copilot chatbot for interacting with documents
Benefits:
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.
Remote First Strategy
Company Equity Program
Medical, dental, vision and life insurance
Flexible Time Off
Mental Health programs
Remote office reimbursement
*All benefits are subject to change at management’s discretion.
Salary Range in CA/NY: $120,000 - $200,000
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.
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