Ask HN: Who is hiring? (September 2023)

Raylu makes it incredibly easy for software teams to build and integrate powerful AI assistants that far surpass the functionality of traditional chatbots or ChatGPT. Raylu’s AI assistants make it possible for software to be a partner that can accomplish what you ask of it, making the idea of “doing work” in software obsolete.

What it’s like working at Raylu: - We are a small team of 4 (soon to be 6) all based out of NYC working out of our office in midtown manhattan everyday (with WFH flexibility when needed).

- Everyday we tackle new unsolved challenges (e.g. how the heck do you we make this LLM released yesterday solve our problem? how can we innovate on chat UX?)

- We work hard. We don’t believe in hustle culture, toxic workplaces, and sacrificing balance, but startups are really hard - so we put in the time and effort needed to succeed.

- We are courageous yet humble with our work. Everyday we sprint into unknown territory courageously building what we think is the thing everyone wants, but we have the humility to hear feedback, fail gracefully, and rebuild quickly.

Learn more about us, the role, and link to apply at https://careers.raylu.dev/

We’re looking for a talented leader for our ML platform team. This team owns a suite of tools and services that scientists use during the research, experimentation, and production phases of ML development to enable state of the art data science. You will play a pivotal role in ensuring the reliability, scalability, and performance of our machine learning infrastructure, enabling WHOOP to continue pushing the boundaries of human performance. The ideal candidate has a proven track record leading a cross-functional team, is able to identify new opportunities to leverage our large and growing dataset, and is excited to work with physiological data.

https://jobs.lever.co/whoop/18467795-9a63-4208-924d-34eb1d62...

We are building the first collaborative & open-source Quality Assurance platform for all ML models - including Large Language Models.

Founded in 2021 in Paris by ex-Dataiku engineers, we are an emerging player in the fast-growing market of AI Quality & Safety.

Giskard helps Data Scientists & ML Engineering teams collaborate to evaluate, test & monitor AI models. We help organizations increase the efficiency of their AI development workflow, eliminate risks of AI biases and ensure robust, reliable & ethical AI models. Our open-source platform is used by dozens of ML teams across industries, both at enterprise companies & startups.

In 2022, we raised our first round of 1.5 million euros, led by Elaia, with participation from Bessemer and notable angel investors including the CTO of Hugging Face. To read more about this fundraising and how it will accelerate our growth, you can read this announcement: https://www.giskard.ai/knowledge/news-fundraising-2022

In 2023, we received a strategic investment from the European Commission to build a SaaS platform to automate compliance with the upcoming EU AI regulation. You can read more here: https://www.giskard.ai/knowledge/1-000-github-stars-3meu-and...

We are assembling a team of champions: Software Engineers, Machine Learning researchers, and Data Scientists ; to build our AI Quality platform and expand it to new types of AI models and industries. We have a culture of continuous learning & quality, and we help each other achieve high standards & goals!

We aim to grow from 15 to 25 people in the next 12 months. We're hiring the following roles:

* Software Engineer - https://apply.workable.com/giskard/j/AD2C90B581/ (Python, Java, Typescript, Vue.js, Cloud skills)

* Machine Learning Researcher - https://apply.workable.com/giskard/j/E89FE8E310/ (post-PhD)

* Data Science lead - https://apply.workable.com/giskard/j/2CA6D2ABDA/ (ML + consulting experience required)

We detached this comment from https://news.ycombinator.com/item?id=37351865.