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

Job Overview

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.

Key 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.

Required Qualifications

• 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

Bonus Points

• 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.

About Pathway

At Pathway we are shaking the foundations of artificial intelligence by introducing the world’s first post-transformer model that adapts and thinks just like humans. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams.

Benefits

Type of contract: Full-time, permanent

Preferable joining date: January 2025. The positions are open until filled – please apply immediately.

Compensation: competitive base salary (80th to 99th percentile) based on profile and location + Employee Stock Option Plan + possible bonuses if working on client projects. The stated lower band of EUR 72k/ USD 75k for the salary base concerns senior candidates; mid-senior or mid candidates may be considered with adapted salary bands.

Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. As a general rule, permanent residence will be required in the EU, UK, US, or Canada.