R&D AI Software Engineer / End-to-End Machine Learning Engineer / RAG and LLM
About the role
About Pathway
At Pathway we are shaking the foundations of artificial intelligence by introducing the world’s first post-transformer model that adapts and thinks just like humans. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence.
The Opportunity
We are currently searching for 2 ML/AI Engineers with a solid software engineering backbone who are able to prototype, evaluate, improve, and productionize end-to-end Machine Learning projects with enterprise data.
If you would consider it would be fun to create a hybrid Vector/Graph index that beats the state of the art on a RAG benchmark, to deliver a working AI pipeline to a client in a critical industry, or to pre-process datasets in a way which would boost LLM accuracy in inference & training - this is the job for you!
You Will
- help design experimental end-to-end ML/AI pipelines
- contribute to addressing new use cases, beyond state of the art
- improve/adapt AI pipelines for production, working directly with client data (often live data streams)
- invent ways to pre-process data sources and perform tweaks (reranking, model parameter configuration...) for optimal performance of AI pipelines
- design benchmark tasks and perform experiments
- build unit tests and implement model monitoring
- contribute high-quality production code to our developer frameworks, used by thousands of developers
- help to pre-process data sets for LLM training
The results of your work will play a crucial role in the success of both our developer offering and client delivery.