EvolutionIQ reviews

4.2

79% would recommend to a friend

(12 total reviews)
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Tomas Vykruta, Mike Saltzman and Jonathan Lewin

90% approve of CEO

87% positive business outlook

Reviews by job title

12 reviews

Reviews about "Compensation"

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5.0
Jan 23, 2023
Recommend
CEO approval
Business Outlook

Pros

Exposure to creative and innovative technologies Opportunity to learn from experienced, knowledgeable and passionate colleagues Interesting and challenging projects Great work life balance Excellent compensation

Cons

So far I only wished i knew about this exciting company sooner, it's compelling visionaries and their mission!

5.0
Mar 28, 2022
Recommend
CEO approval
Business Outlook

Pros

- Excellent team. Filled with smart folks with great previous experiences. - Everyone is willing to help. - Great pay. Great culture. Highly recommend talking to folks about the culture here during the interview you'll appreciate it! - Great CEO who is ready to sit and chat with you at any time. - FAST GROWING so might need to be a FAST learner. Instills good habits and you will grow.

Cons

- Young company so you will have to have patience and understand that some of the total comp will be in the form of equity

1.0
Feb 12, 2022

Software engineer

Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Pay higher than other early starups.

Cons

Their business really doesn't need high tech, any fresh graduates using simple model can get comparable result, what you need is only elite sales that can convince customers.

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EvolutionIQ Response
4y
I am sorry to hear you had a negative experience. I’m incredibly proud of the work we do every day, this is hands down the best team I’ve ever worked with. Building a technology startup, especially one heavily AI based is like building an airplane that is rolling down the runway and you need to quickly design the wings, engines, controls and instruments, manufacture them and attach them and generate lift before you crash into the trees at the other end of the runway. Mistakes happen, but we do our best every day and remain laser focused on the mission. I'll talk a little bit about our technology. We use deep learning and at the core there is recurrent deep neural net. One of the big challenges was building the time series encoder which must represent not just structured data, but messy unstructured medical notes histories from complex raw insurance carrier databases. It's been a really fun, challenging first principles problem and we still make material improvements to P/R every month. I appreciate your comments around us offering top of market compensation. It is important to us to compensate our people well. We’ve invested a lot into comp, benefits as well as clarity on career advancement. If there's more you'd like to share I'm open to talk and you know how to reach me.
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