sultan1919
Joined 9 years ago
Karma
1
Submissions
9
Member since
Sep 18
Recent submissions
Comment · 6 years ago
Comment · 6 years ago
Soteris | Backend & Product (Employees #3-5) | San Francisco | Full time | Remote (US only) for now but onsite in the long run | Not eligible for visa sponsorship
Soteris (https://www.soteris.co/) is a YC-backed company with a multi-year runway and almost $1mm of contract revenue serving a $5 trillion industry: insurance.
We write machine learning software to more accurately price insurance. The way insurance rates are currently set results in massive inefficiencies that increase prices for policyholders like you and me. I previously spent two years building a $750mm insurance company out of a $16 billion hedge fund, from which I know for a fact that a machine learning approach to routing and pricing risk is orders of magnitude better than what the largest insurers do - and our customer list is proof of that claim. Our model is almost doubling policy profitability for our first customer, and they’re planning to reduce rates for at least 80% of their applicants as a direct result of using our software. I think that’s pretty cool.
Our team is currently three PhDs with over 20 combined years of experience deploying algorithms in financial and technical product markets: myself, a head of research, and a machine learning engineer. We’re looking to scale up our operations, and given that, we’re hiring for three roles:
- back-end engineer;
- back-end engineering lead; and
- product lead.
Currently we run on AWS and our entire stack is in Python, though you don’t need any experience in Python so long as you have the aptitude to learn it. We’re working remotely for the time being, but after the pandemic subsides, we’ll be based here in San Francisco.
If you’re interested, check us out at https://www.soteris.co/#careers - we’d love to hear from you!
Comment · 7 years ago
Appreciate the question jndsn. My background is in statistical learning itself, though I have a long experience in P&C insurance. In short I'd say "using machine learning" is not one thing and varies significantly in approach, quality of application, etc.; there's a variety of things we're adding that explain why our software provides a 3-4 point loss ratio improvement for our first customers that would be too long to explain via post here. If you're interested in getting involved and/or learning more I'd encourage you to apply via the instructions listed at the bottom of the links above.
Comment · 7 years ago
Hi pydev22 -- thanks for the response. The immediate need is for ML engineers to take over the code I've been writing so I can focus on connecting with more customers, but we'll certainly need Python devs for broader purposes in the near future. I'd encourage you to apply via the instructions & email address at the bottom of either of the links above if that works for you. Thanks again.
Comment · 7 years ago
Soteris | Machine Learning Engineers (Python -- Junior or Senior) | San Francisco, CA | ONSITE | https://soteris.co
Soteris helps insurance companies price policies. Founded in Jan 2018, we bring the same machine learning software and techniques quantitative hedge funds use to trade financial markets to price insurance risk. We are able to do so much more accurately and with far less manpower than current methods. After demonstrating we can save them millions of dollars annually, we signed our first two customers and have already established a solid revenue stream. I’m the founder and only employee of Soteris and am looking to bring on some machine learning experts to continue my work on the technical side so I can focus on connecting with new customers. Along with all the excitement and equity commensurate with being such an early-stage employee, you would be a key driver in helping Soteris reach its full potential.
Click the link next to each position for more info:
Machine Learning Engineer - http://bit.ly/2U6dNtM
Senior Machine Learning Engineer - http://bit.ly/2UmSbIY
Soteris (https://www.soteris.co/) is a YC-backed company with a multi-year runway and almost $1mm of contract revenue serving a $5 trillion industry: insurance.
We write machine learning software to more accurately price insurance. The way insurance rates are currently set results in massive inefficiencies that increase prices for policyholders like you and me. I previously spent two years building a $750mm insurance company out of a $16 billion hedge fund, from which I know for a fact that a machine learning approach to routing and pricing risk is orders of magnitude better than what the largest insurers do - and our customer list is proof of that claim. Our model is almost doubling policy profitability for our first customer, and they’re planning to reduce rates for at least 80% of their applicants as a direct result of using our software. I think that’s pretty cool.
Our team is currently three PhDs with over 20 combined years of experience deploying algorithms in financial and technical product markets: myself, a head of research, and a machine learning engineer. We’re looking to scale up our operations, and given that, we’re hiring for three roles:
- back-end engineer;
- back-end engineering lead; and
- product lead.
Currently we run on AWS and our entire stack is in Python, though you don’t need any experience in Python so long as you have the aptitude to learn it. We’re working remotely for the time being, but after the pandemic subsides, we’ll be based here in San Francisco.
If you’re interested, check us out at https://www.soteris.co/#careers - we’d love to hear from you!