At Dust, we want to provide knowledge workers and teams the tools required to get higher-quality work done, faster.
It's inspiring to imagine how much time we'll save with software that truly 'gets it'. Small tasks. Repetitive tasks. Tasks that will be seamlessly handled when the right context is intelligently shared in real-time.
Most knowledge workers aren't developers. Software that will really help them has to be powerful and simple to use. It has to fit their needs and personalities nicely. With the right tools, we believe that we can ultimately give the world's 1 billion knowledge workers 25% of their time back. So they can move on to do more rewarding and interesting things.
We're excited to build products that humans use to become better versions of themselves. We're not here to replace humans, though. While we don't mind a robot analogy, it has to be R2-D2, not Skynet.
While Large Language Models (LLMs) like GPT-4, Claude or Mistral Large are already very powerful, they remain unwieldy and, as a result, vastly underused. Rather than focusing on developing new foundation models, Dust is laser-focused on the product experience. We believe that existing models are powerful enough, and that most of the value can be unlocked and delivered to customers by refining product experiences, interfaces, and interactions with applications powered by LLMs and fueled by customer data.
We're a small and determined team of optimists that likes to focus on customers, getting great things done by shipping, and doesn't take itself too seriously while doing so. We want to build a team that remains as small as it can be while serving a growing number of customers incredibly well.
We've been founders before. We've worked at Stripe, Square, Alan, Front, OpenAI, etc. We know what can happen when a few people feel empowered and work together well with a clear purpose in sight.
As an Engineer and member of Dust's technical staff, you will focus on imagining and building the products that Dust brings to users. This will require curiosity for the ecosystem Dust operates in, sensitivity to users' needs and Dust's business, appetite for rapid iteration, the ability to make tough technical trade-offs, and ultimately, the desire to be accountable for Dust's performance as experienced by users.
Design software applications that elegantly solve users' problems.
Scope and lead technical projects to completion with an eye on the full stack and a mind for opinionated prioritization.
Implement and maintain software applications including monitoring and enhancing their performance and investigating and fixing bugs.
Write technical documentation for internal or external-facing purposes.
Contribute to recruiting efforts as we grow the team.
Experience in one or several software engineering roles at a software company.
Experience with the entire stack of cloud-based software development.
Curiosity for users, their problems, and how they interact with software products.
A genuine interest in the developing field of artificial intelligence in general and large language models in particular.
Robust collaboration skills including written and verbal communication.
20+ years of experience with 70B+ parameters Large Language Models. Or not.
A preference for things that work over things that are perfect.
The ability to defend views with conviction and arguments but also gracefully change them when new information suggests to do so.
A data-driven mindset that can make decisions quickly while reasoning insightfully about complex or incomplete analyses.
A 'do-what-it-takes', impact-oriented attitude that can effectively prioritize without lingering on the details that won't make a difference.
Must be a European resident and have work authorization.
We're building the team with an in-person culture and prioritize candidates who can work from our office in Paris.
Experience with at least one of JavaScript/TypeScript/React or Rust.
Experience with Large Language Models.
Experience with at least one of:
working with Designers and Product Managers.
designing and building infrastructure that scales.
You should still consider applying, even if you don't meet all the requirements above. It's alright to have a less expected profile or background, as long as you have the desire and determination to bring it all in the service of our users. Please send your application and resume in English.
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