Dablam | BDR | NY and London | ONSITE (2 days/week) or REMOTE within NY State or UK | Full-time | Must be US or UK work-authorized (no visa sponsorship)
Dablam is an AI-native reputation intelligence firm. We help corporations shape how they're understood in an information environment increasingly mediated by LLMs—surfacing information that's true and under-represented and getting it to the right audiences at the right time.
We expand our team with multiple BDR roles in London and NYC.
We're looking for 3+ years of BDR/SDR or comparable B2B outbound experience, AI automation, Clay, strong cold-calling and written outreach skills, CRM experience (HubSpot/Salesforce), and a genuine interest in AI and reputation. Comp: competitive base + uncapped commission + equity, plus medical/dental/vision, 401(k) match, generous PTO, professional development budget.
Apply by sending your CV to careers@ our website. Only natural persons with the right work permits, no recruiters, AI agencies or companies. Expect fast replies.
There are a lot of technical details that have not been disclosed. No proper post-mortem.
There are a few facts that seem dodgy from the get go.
- stolen credentials
Why would there be stolen credentials in a sandbox? How can the model steal valid credentials in a sandbox? So who put them there. If the model recalled stolen credentials from "memory" does it actually mean OpenAI is training on data they shouldn't been training their model on? Data from codex (most likely) ?
- command and control
This means the model had the ability to build resilient infra and open bidirectional ports. Create and deploy scripts/apps so it can maintain state across multiple VMs? This again reads that someone went over and beyond to prompt, direct and help this "multi-agent" system to leave the sandbox.
- Pivoting laterally
Needs a lot of tools, harness, knowledge and almost malware like scripts to pass commands and execute them. Most of these are already available in OSS. Maybe the FBI investigation can reveal what tools were given in the "sandbox", access, and if OpenAI employees prompted and guided the "attack".
- OpenAI sandbox
I'd be curious to find out what kind of sandbox was this since the agent can run and start apps that open arbitrary ports for bidirectional traffic that reaches the open internet. Really? The harness and tools it had access to. This reads almost like someone went over and beyond to endow this "sandbox" with a mighty harness, all CVEs and open source cyber tools to "facilitate" the attack.
- Hugging Face
It's not an epitome of cyber security. At the end of the day they run open source models that most users can download even without an access token.
> Why would there be stolen credentials in a sandbox?
The claim is not that there were stolen credentials in the sandbox - it's that the agent found a way OUT of the sandbox and gained access to the public internet, then obtained the credentials from there.
> This means the model had the ability to build resilient infra and open bidirectional ports. Create and deploy scripts/apps so it can maintain state across multiple VMs?
Yes. If you've spent much time with Fable 5 or GPT-5.6 Sol you shouldn't find that particularly surprising. These models can get a LOT done.
> I'd be curious to find out what kind of sandbox
My best guess right now is a container with networking disabled except for the IP address of a dedicated HTTP proxy server which was running a proxy that only allowed access to PyPI and a few other packaging sites.
> A final point on this - Hugging Face has an enormous attack surface. They have more interfaces than I can count which run untrusted models and code. While they definitely have invested in defences, by nature of their operating model they do have many more opportunities to be attacked than many other services. I certainly don't envy their cybersecurity teams.
I do bespoke clustering for data sets small or big (> Tb): images, text, sound, time-series, code.
Most clustering methods break down when the data gets messy—overlapping groups, spherical clusters have too coarse resolution, unclear boundaries, weak signal. Tools like K-means assume simple shapes. Real data rarely behaves that way.
I build custom clustering solutions that work on difficult datasets, where patterns are subtle but still there. I’ve applied this across biomedical data, legal documents, IoT sensors, imaging, and behavioral data.
If your data has structure but standard methods aren’t finding it, I can help uncover it and go beyond k-means, cosine similarity and random forests.
If an initial data analysis shows there’s no meaningful signal to extract, there’s no charge.
All clustering is done bespoke, reviewed by ML scientists.
Dablam | BDR engineer | Remote or on-site in NYC or London, UK| full-time or part-time
Dablam is a reputation management company that works with top companies to shape their communication, product stories and their impact in the real world. We work with product companies, brands and campaigns for product launches.
We're looking to hire an senior developer specialized in BDR and top of the funnel outreach automation through etl pipelines, openclaw, AI agents, clay and pure software engineering. ML and data science are required as we seek to detect signal in very noisy datasets. We generate our own leads today. We seek to employ an engineer that can own the pipeline stability and the results it produces. This is an engineering role. Experience in lead-gen matters but it's not mandatory.
* 2-4 years experience in software development;
* Typescript, javascript, python, bash, linux;
* familiarity with AI agents, ML and scikit-learn;
Reach out to me directly with your CV and victor that works at dablam.co.uk.
Broadn Inc | https://www.broadn.io | Founding engineer | NYC - USA | Full-time | ONSITE in NYC - US persons only | Full-stack |
Broadn is an early-stage company. We work with USA manufacturers to help them accelerate the configuration, pricing and quoting process for their industrial products. Our customers are manufacturers operating in electronic parts, pipes, packaging, aerospace, defense and metal parts.
Our ideal software developer has an incredible curiosity, experience across full development stack. We expect production environment experience, leading with curiosity, great communication skills and full ownerships over parts of the system . We need to solve problems anywhere from the CNC machine to multi-datacentre GovCloud so we look for a problem solver with solid understanding of algorithms, data structures that can write efficient minimal solutions.
! This is an ONSITE role in NYC.
We cannot work with non-US Persons due to the nature of our work and clients we serve. All technical interviews will be * ONSITE in NYC*. Unfortunately we will not cover travel or relocation expenses.
Skills we seek in candidates for this role:
- Proficiency in TypeScript and JavaScript for backend and Front-End - this is our core tech stack
- Nodejs, typescript, javascript, bun
- any experience with any of: python, java, scala, rust, go, C#, C/C++
- AWS, GCP, AWS GovCloud, Azure
- React, Vite
- OOP, functional programming
- data structures and algorithms
- Experience with dev tooling:, bash, git, Docker, cloud infra, Linux environments, CICD
- Ability to write minimal, efficient code that solves problems elegantly
Please reach out with your resume directly to @victor with broadn.
We are hiring a DevOps to deploy and monitor an app in AWS GovCloud.
US persons from US territory only please. 5-10 years managing cloud infra / cicd / security / backups / kms / app config.
broadn (broadn.io) is an AI-native CPQ (Configure, Price, Quote) platform that helps manufacturers, suppliers, and distributors create quotes and RFQs as fast as possible. Our platform handles large product catalogs (20K+ SKUs) and complex product configurations. We are backed by SV investors.
You'll be the 2nd engineer and working directly with the CTO and CEO.
To be clear, green card paths are not helped or hurt or impacted in any way by the underlying status so your green card options are the same whether you're in O-1 status or not. That being said, because of the nature of the O-1, many of those in O-1 status go the EB1A extraordinary ability path or the EB2 national interest waiver path. An O-1, except in limited circumstances, is tied to a specific employer so if your O-1 employer went out of business, your O-1 would go away - but it's very easy to transfer an O-1 from one employer to another.
>That's not easy. Many employers aren't aware of this type of visa.
I think a lot of the response are presupposing that the commenters are in the tech industry. If a company is already setup to deal with visas it's probably not a big deal, assuming the economy is still going well and companies are hiring. In another field where companies don't or barely deal with visas at all, it's probably really difficult.
Dablam is an AI-native reputation intelligence firm. We help corporations shape how they're understood in an information environment increasingly mediated by LLMs—surfacing information that's true and under-represented and getting it to the right audiences at the right time.
We expand our team with multiple BDR roles in London and NYC. We're looking for 3+ years of BDR/SDR or comparable B2B outbound experience, AI automation, Clay, strong cold-calling and written outreach skills, CRM experience (HubSpot/Salesforce), and a genuine interest in AI and reputation. Comp: competitive base + uncapped commission + equity, plus medical/dental/vision, 401(k) match, generous PTO, professional development budget.
Apply by sending your CV to careers@ our website. Only natural persons with the right work permits, no recruiters, AI agencies or companies. Expect fast replies.