Dashworks is the first and only place you need to go to find or discover knowledge about anyone or anything at work. We’re on a path to redesigning the future of collaboration and knowledge sharing. We truly have a unique opportunity to build a category-defining product (and company!) that gets used by millions every day.

We have reached a pivotal stage in our journey: we just came out of stealth, have some impressive paying customers, and are growing rapidly. Joining right now would mean you get to ride the wave of explosive top-of-the-funnel growth, yet get meaningful equity in a pre-series A startup. We’re a team of 11 and work with companies with 100-10000 employees.

The team

Dashworks was started by Praty and Prasad, who met as grad students working on deep learning. Our team brings product and engineering experience from foremost institutions like Google, Stanford, Microsoft, Facebook, Linkedin, Snap, and Carnegie Mellon. In addition, we are thrilled to be backed by some of the world's best investors like Y Combinator, South Park Commons, Combine, Point 72 Ventures, Goat Capital, Garuda Ventures, founders of companies like Twitch, Mercury, and Gusto, and an amazing crew of angels.

As an early engineer to join our team, you'll have the opportunity to materially impact and scale not just the company's product but also the team and the culture. You'll get to own the core Dashworks NLP algorithm for information retrieval, and work alongside exceptionally strong co-workers who learn quickly and ship quality work.

What you'll work on:

• Designing, implementing, evaluating, deploying and iterating on neural information retrieval models
• Researching and leveraging cutting-edge progress in NLP and ML in academia and industry by staying abreast with new publications, conferences, and product applications
• Leading greenfield initiatives as we expand to use cases beyond search and information retrieval

You qualify if you have:

• 1+ years of industry or research experience in information retrieval or NLP
• 1+ years of experience using at least one deep learning framework (TensorFlow or PyTorch preferred)

What we look for:

• Willingness and comfort with owning and driving major initiatives independently
• Curiosity and a love for your craft
• An intuitive grasp for product-level thinking and how AI and NLP can be used to create entirely new product experiences
• Strong communication skills

Backend/Infrastructure: Python, FastAPI, SQLAlchemy, Kubernetes, AWS Frontend: React/Redux, Typescript AI: PyTorch/Tensorflow, ElasticSearch