Journee is a technology startup founded in 2020. Our in-house low-latency streaming technology and GPU fleet orchestration systems are the engines behind our award-winning work with brands such as BMW, H&M, and Siemens.
We are now building and launching Ojin (https://ojin.ai/), a real-time generative AI platform for developers. Ojin provides the APIs and inference infrastructure for developers to build and scale interactive applications and AI agents. For this new venture, we are building a small, ambitious team of highly talented individuals and are hiring for the following position:
It's most likely two or more separate attackers operating. The first malware, Shai Hulud 2, exfiltrates credentials from the infected dev machine to new public GitHub repositories. As the repositories are public and searchable via GitHub's interfaces, any malicious attacker aware of the attack can easily grab the credentials and launch any attack, whether it's a noisy destructive script or some sophisticated ransomware.
That's my bad, apologies. This job post will be published next week and I somehow removed this mention from my comment while editing it. I've put it back now. In the meantime, feel free to apply through the Platform Engineer role while stating your targeted role and I will re-categorize your application later. Thank you!
I have a specific track record in building developer tooling (I've been awarded 3 different well-known grants) and have been an early adopter of AI tooling, so this would sound like an exciting opportunity to me.
This is (in part) what "world models" are about. While some companies like Tesla bring together a fleet of small specialised models, others like CommaAI and Wayve train generalist models.
It does, shockingly well in my experience. Check out this blog post outlining such an approach, called Literate Development by the author: https://news.ycombinator.com/item?id=43524673
Whenever an LLM struggles with a particular library version, I use Cursor Rules to auto-include migration information and that generally worked well enough in my cases.
> "[They] placed too much weight on the introspections that they generated at that moment in time, and thus lost sight of their more enduring attitudes.” [1]
The quote refers to this study [2] in which subjects had to chose a poster to take home. The group who was instructed to think about their reasons for their initial choice, and had the option to change it, were less satisfied with it three weeks later. As the abstract says:
> When people think about reasons, they appear to focus on attributes of the stimulus that are easy to verbalize and seem like plausible reasons but may not be important causes of their initial evaluations.
This suggests that satisfaction is more correlated with initial gut feeling than reasoning, at least for aesthetic choices, but I think in many other cases as well.
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Journee is a technology startup founded in 2020. Our in-house low-latency streaming technology and GPU fleet orchestration systems are the engines behind our award-winning work with brands such as BMW, H&M, and Siemens.
We are now building and launching Ojin (https://ojin.ai/), a real-time generative AI platform for developers. Ojin provides the APIs and inference infrastructure for developers to build and scale interactive applications and AI agents. For this new venture, we are building a small, ambitious team of highly talented individuals and are hiring for the following position:
* Senior Product Engineer
* VP of Technology
Our tech stack: TypeScript, React, Python, PostgreSQL, WebRTC, AWS, Infrastructure as Code, Unreal Engine
Apply here: https://job-boards.eu.greenhouse.io/journee