skeselj
I worked on semi-supervision for computer vision, for a few years.
I wrote this post about it. I think it's a useful technique.
I'm curious if people have thoughts.
Cheers, Stefan
I wrote this post describing what I think is the simplest stack that supports scalable ML.
I'm curious what people with related interests think.
Thanks,
Stefan
A Minimal Stack for Scalable Machine Learning
Look I'm an engineer here and wanted to share that the company is hiring. I don't know the exact numbers.
Mission: build excellent perception technology in a data-scalable way. I.e. a way that doesn't rely on exponential amounts of human-labeled data.
Product: computer vision SDK that car manufacturers use to build autonomy features like highway cruise control.
Location: remote; office in Redwood City, CA.
Interns: no.
Visa: sponsorship available.
Stage: Series C. https://www.prweb.com/releases/helmai-announces-55-million-s....
Roles: Research Engineer, Machine Learning Engineer, Software Engineer (Core), Software Engineer (Autonomous Vehicles). https://www.helm.ai/careers/, https://www.linkedin.com/company/helm.ai/jobs/.
Levels: L3 (new grad) - L6 (staff).
Compensation: more than market. Maybe a recruiter can give more specific info.
Contact: [email protected].
CA law protects independent side projects, even if your employer says otherwise
So even if your employment contract uses language that makes it seem like your employer owns everything you make while you're employed, work you do that qualifies under this code will be protected.
Suggestion: for each snippet / moment you show, show the thumbnail at that time.
Related: Google's Key Moments effort: https://blog.google/products/search/key-moments-video-search....