Pathway-posted 5 months ago
Full-time • Entry Level
Palo Alto, CA
11-50 employees

Pathway is building live AI 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.

  • 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
  • A graduate of a 4+-year university degree in Computer Science, where you have received A-grades in both foundational courses (Algorithms, Computational Complexity, Graph Theory,...) and Machine Learning courses
  • Passionate about delivering high-quality code and solutions that work
  • Good with data & engineering innovation in practice - you know how to put things together so that they don't blow up
  • Experienced at hands-on Machine Learning / Data Science work in the Python stack (notebooks, etc.)
  • Experienced with model monitoring, git, build systems, and CI/CD
  • Respectful of others
  • Curious of new technology - an avid reader of HN, arXiv feeds, AI digests
  • Fluent in English
  • Successful track-record in algorithms (ICPC / IOI), data science contests (Kaggle), or a HuggingFace leaderboard
  • Showing a code portfolio
  • PhD in Computer Science
  • Authoring a paper at major Machine Learning conference
  • You like playing/tinkering with new tools in the LLM stack
  • You are already a part of the Pathway community, or have been recognized for your work in one of our bootcamps
  • competitive base salary (80th to 99th percentile) based on profile and location
  • Employee Stock Option Plan
  • possible bonuses if working on client projects
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