Who you are

• 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

What the job involves

• 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!
• 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
• 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

The application process

• Cover letter: It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that
• Preferable joining date: January 2025. The positions are open until filled – please apply immediately

Benefits

• Intellectually stimulating work environment. Be a pioneer: you get to work with a new type of data processing framework
• Work in one of the hottest data/AI startups in France, with exciting career prospects
• Responsibilities and ability to make significant contribution to the company’ success
• Inclusive workplace culture