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

Summary

Join Pathway, a leading AI company, and become an ML/AI Engineer. You will design and build end-to-end ML/AI pipelines, contribute to new use cases, improve pipelines for production, and pre-process data for optimal performance. The role involves designing benchmark tasks, conducting experiments, building unit tests, implementing model monitoring, and contributing to developer frameworks. You will work with enterprise data and live data streams, impacting both the developer offering and client delivery. Pathway offers a competitive salary, employee stock options, potential bonuses, and remote work options with the possibility of working in Palo Alto, Paris, or Wroclaw.

Requirements

• 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

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
• Help to pre-process data sets for LLM training

Preferred Qualifications

• 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

Benefits

• Competitive base salary (80th to 99th percentile) based on profile and location + Employee Stock Option Plan + possible bonuses if working on client projects
• Remote work
• Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland