Seer Medical | Australia | REMOTE (AEST +/- 4 hours) | Fullstack Javascript Dev (1 Lead, 2-3 Senior/Mid)

Lead: $140-180k + super

Senior/Mid: $120-150k + super

Seer (https://seermedical.com/) is a Melbourne-based med-tech company challenging how healthcare is delivered. Our products include award-winning wearable medical devices [1], world-leading AI [2] for assisted diagnosis of neurological and cardiac conditions, and modern web & mobile apps for clinicians and patients. We are the largest provider of long-term EEG and ECG monitoring in Australia and are in the process of expanding our business to Europe and the US.

We are open to both remote (given suitable time difference) or in-person work if that is your preference. Stack: ReactJS, Typescript, NodeJS (ExpressJS), GraphQL, PostgreSQL, AWS.

To apply, go to https://seermedical.com/careers/ or feel free to email me (Tim Esler, Head of Eng.) with your resume at [email protected].

1. https://good-design.org/projects/seer-sense/

2. https://pubmed.ncbi.nlm.nih.gov/31676240/

Hi all, I'm one of the creators of the linked extension (Epiverse), a chrome/firefox extension for viewing Hacker News and Reddit threads as you browse the web. It's been stagnant for a while now but we've recently revamped it and released a new version. We will be actively maintaining the app, adding features and potentially new content sources, and would love to get your feedback.

A brief walkthrough: after adding the extension, the icon will display the combined comment count for the current URL across threads from HN and Reddit. When opened, the extension displays as a sidebar displaying all matching submissions and their comments.

With the latest version of the app we've focused on privacy (and user's ability to control it), performance, and usability. We've added the ability to have the extension auto-open on certain domains, which is great for sites whose own comments are famously shallow or offensive, like YouTube. Under the hood, we maintain and constantly update a database of all HN and Reddit submissions, which will allow the app to scale while preserving performance.

Our eventual goal is to transition Epiverse into a universal commenting system for the web with it's own authentication and commenting ecosystem, but step one is to grow the user base and stress test the UI.

Any feedback, good or bad, is very welcome!

That sounds like a pretty interesting challenge. Happy to chat more - you can get in touch using the contact details on github.

Awesome, and thanks for your feedback in the early days. I've made the tracking interface much nicer as a result.

That's a good repo. It uses mxnet right? The aim of the repo in the topic was mainly to provide a clean implementation that could slot easily into an existing pytorch workflow.

I'm not aware of any implementation with these features, but they are both on the roadmap for the linked repo. Both should also be achievable. Batch processing, in particular, will be a straight-forward change and should result in quite a speed-up. Although it will require the input images to have the same dimensions.

Good stuff.

In my experience inputs to MTCNN tend to be full frames, so the uniform dimension requirement is usually met.