R&D AI Software Engineer / End-to-End Machine Learning Engineer / RAG and LLM

About Pathway

Pathway is building LiveAI systems that think and learn in real time as humans do. Our mission is to deeply understand how and why LLMs work, fundamentally changing the way models think.

The team is made up of AI luminaries. Pathway's CTO, Jan Chorowski, co-authored papers with Geoff Hinton and Yoshua Bengio and was one of the first people to apply attention to speech. Our CSO, Adrian Kosowski, received his PhD in Theoretical Computer Science at the age of 20 and made significant contributions across numerous scientific fields, including AI and quantum information. He also served as a professor and a coach for competitive programmers at Ecole Polytechnique. The team also includes numerous world\'s top scientists and competitive programmers, alongside seasoned Silicon Valley executives.

Pathway has strong investor backing. To date, we have raised over $15M; our latest reported round was our seed. Our offices are located in Palo Alto, CA, as well as Paris, France, and Wroclaw, Poland.

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.

For representative examples of the type of projects you would be expected to create or deliver, see our AI pipelines templates .

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.

Cover letter

It\'s always a pleasure to say hi! If you could leave us 2-3 lines, we\'d really appreciate that.

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Bonus Points

Why You Should Apply

(Note for candidates based in India : We are proud to be part of the current Inter-IIT as well as a partner of ICPC India. Top IIT / IIIT graduates are more than welcome to apply regardless of current location.)

If you meet our broad requirements but are missing some experience, don’t hesitate to reach out to us.

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