I've hired about half a dozen ML engineers/architects in the past six months. Several of them have EE backgrounds. There's a good bit of ML that touches on hardware (think integrated cameras and similar) so it can be really helpful.
You're mostly on track with your plan to build something. You do need to demonstrate that you have the skill set, but building one giant thing isn't the answer. There's so much that goes into building a giant thing, that I can't accurately access your ML skills.
Ideally I like to see a lot of small things over a reasonable amount of time. Someone with a solid GitHub showing 6-12 months of paper implementations, weekend geez-wiz hacks and various other projects would go right to the top of my call back list.
Fomoro AI | Software Engineer / Data Scientist | Early Stage | San Francisco or REMOTE | Full Time | No Visa Sponsorship
Fomoro Consulting works on a wide range of ML problems from anomaly detection, financial modeling, reinforcement learning or image segmentation.
We're looking for a machine learning engineer familiar with the latest advances in ML, especially reinforcement learning and image segmentation. Must be familiar with TensorFlow and python and be able to read and implement research papers. Min 3 years of engineering experience.
Planet | San Francisco, CA or Seattle, WA | Machine Learning Engineer (and other roles) | Full-time | Onsite
Planet's mission is to use space to help live on earth. Our goal is to image the whole world every day and make global change visible, accessible and actionable. We are currently seeking several experienced Machine Learning Engineers to help us figure out how our world changes every day.
Planet Labs | San Francisco, CA | Full-time, intern, onsite.
We're looking for a senior UX software engineer and intern for our missions team, helping us design and build React / javascript applications to fly satellites.
Our mission is to image the entire Earth every day, and provide universal access to that data. Plus, it's a small team and we have free reign with the front-end tech stack. If you're interested email [email protected]. We've also got other jobs open here: https://www.planet.com/careers/
The author is right that community is everything, but it's not something that you can import. I strongly disagree that you should build your co-working space around an outside team of entrepreneurs.
You have to build your co-working space around the people in the space. Don't nickel and dime your members with add-ons of limited value. Have generous event and friend policies that encourage organic community. Foster connections between members not between members and outside "advisors". People come and stay because their friends are there.
In that vein, you should also probably have a mission that's bigger than the space. A way for people to identify that it's the right place for them, instead of being another generic space in a sea of generic spaces (at least in SF).
Offices are real-estate. Co-working is people.
EDIT: I founded a 3000 sq. co-working space in SF.
Danielle from Olark here. I'm one of the engineers on this project.
We have a "contains" selector that works like a wildcard. So in order to do what you want, your rule conditions would look like: "Current Url" "contains" "settings".
You're mostly on track with your plan to build something. You do need to demonstrate that you have the skill set, but building one giant thing isn't the answer. There's so much that goes into building a giant thing, that I can't accurately access your ML skills.
Ideally I like to see a lot of small things over a reasonable amount of time. Someone with a solid GitHub showing 6-12 months of paper implementations, weekend geez-wiz hacks and various other projects would go right to the top of my call back list.
Hope that helps, good luck with the job search.