Machine Learning Researcher / Engineer (Foundational Models)
Tech Stack
Job Description
About PathwayPathway is an enabler for Live AI, allowing organizations to run contextualized ML models connected to ever-changing enterprise data.
In addition to being an infrastructure provider delivering an AI framework, we are working to advance the state-of-the-art.
This is an R&D position in attention-based models.
Pathway is VC-funded, with some amazing BAs (such as Lukasz Kaiser, co-inventer of Transformers).
Pathway's CTO has co-authored papers with Goeff Hinton and Yoshua Bengio.
We have just raised a $10M+ seed, with exciting developments ahead.
The management team includes growth leaders who have scaled companies with multiple exits, and who have built online communities reaching millions of users.
Out client portfolio is focused around mobility, IoT data, logs and transactions, and also includes larger actors such as NATO and national postal services.
We have a vibrant community centered around our developer frameworks, with almost 10,000 stars on GitHub.Our offices are in Menlo Park, CA, as well as Paris, France and Wroclaw, Poland.
The OpportunityWe are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research.
This is an extremely ambitious foundational project.
There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum.You Will perform (distributed) model training.
help improve/adapt model architectures based on experiment results.
design new tasks and experiments.
optionally: oversee activities of team members involved in data preparation.
The results of your work will play a crucial role in the success of the project.