Pathway is looking to solve the problem of enterprise AI adoption by providing a post-transformer model that adapts and thinks like humans, offering full visibility into model workings and enabling contextualized, experience-driven intelligence.
Requirements
- 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.
- Curious of new technology - an avid reader of HN, arXiv feeds, AI digests, ...
- Successful track-record in algorithms (ICPC / IOI), data science contests (Kaggle), or a HuggingFace leaderboard.
- Showing a code portfolio.
- You like playing/tinkering with new tools in the LLM stack.
Responsibilities
- 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 paramater 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.
Other
- 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.
- Respectful of others
- Fluent in English
