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 an internationally diverse and remote-first company headquartered in San Francisco with additional offices in London, New York, India, and the Netherlands.
Who you are:
Archipelago is seeking an Engineering Manager, Machine Learning to join our growing team. As an Engineering Manager you will help lead a distributed team of machine learning engineers. We’re a small team distributed around the US & Europe, with headquarters in San Francisco. We iterate quickly, build for the long term, and are looking for smart, independent folks who want to ply their trade with like-minded people.
The ideal candidate will be comfortable working collaboratively, across teams & timezones, and helping us define our platform culture. You’ll have a significant impact, since the product & team is in its early stages. You’ll have a full team to support you, from research and design, through planning, development, deployment, delivery, and iteration.
The current Machine Learning team is located in the San Francisco Bay Area and London so we are considering candidates in the US, Canada, or UK.
Responsibilities: list all responsibilities
Qualifications: list all qualifications
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.
*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.