‣
Our mission is to build the world’s first AI-powered claims guidance platform to transform the lives of injured or disabled workers. Our AI models understand injuries and medical treatments like a medical expert to solve the insurance industry’s big data problem.
‣
Team member Q&A.
Georg Goerg
Head of Machine Learning (formerly Google)
What are the positive things you're doing for impact?
What hours are people working?
What's a good reason to not join the team?
Why do you think people stay on the team?
Why would candidates want to work for a company run by these founders?
Stanley Yang
Principal Engineer
How much interaction do individual engineers have with customers?
How well do engineers get paid?
How would you recommend people prepare for interviews?
Tell me about the onboarding process?
What's hard about what you're building, especially for engineers?
Craig Dana
Senior Machine Learning Engineer L5
Do you make decisions about architecture?
How do you make decisions in the team?
How much new candidates need to know about insurance?
Is there something that engineers can do that they wouldn't find in another environment?
Discover More
/w=1920,quality=90,fit=scale-down){kind=small}
Stephanie Gill
Recruiter
Hi! I'm a Peloton fanatic by night and a recruiter by day. I'm about to hit my 700th ride! Please feel free to reach out to me with any questions. I support recruiting efforts for the sales, product, and engineering teams. I love people - I want to hear your story!!!
Useful links
- For a deeper dive into EvolutionIQ, check out our resource center.
- CB Insights named us one of the Top 50 promising insurtech startups of 2022.
- Read about our recent Series A fundraising round here.
- Inc. Magazine named us a best place to work in 2022.
Collaboration Practices
- We are very flexible about remote work and offer a $500 remote home office stipend.
- Local NY employees are encouraged to work in our brand new NY HQ.
Hours & location
- 100% remote
- 100% in office
- Mixed on-site and remote
- Work in US time zones
- Flexible work hours
Tools we use
- TensorFlow/PyTorch
- Dagster
- Bigquery
- Vertex AI
- GCP
- Terraform
- K8
Company-level stats
- B2B
- Technical founder(s)
- CEO is a founder
- VC-backed
- Funding: $11–50M
- Will sponsor work visa
‣