Principal Machine Learning Engineer — Roche
NewCHF 68'000 - 103'000
Roche · Basel (BS)
- Location
- Basel
- Contract
- full-time
- Posted
- 2 days ago
SalaryCHF 68'000 - 103'000
Role overview
At Roche you can show up as yourself, embraced for the unique qualities you bring.
Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally.
This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.
- At Roche you can show up as yourself, embraced for the unique qualities you bring.
- Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally.
- Our aim is for everyone who can benefit from AI/ML to be able to leverage that utility where and when they need it, from data analysis to literature search to documentation writing.
What the company offers
- Our aim is for everyone who can benefit from AI/ML to be able to leverage that utility where and when they need it, from data analysis to literature search to documentation writing.
Application process
- We also work on scaling up model training and inference, evaluating the quality of AI/ML models and output, and building impactful applications which accelerate the scientists doing the critical work of drug discovery and development.
- Partnering with colleagues to build, deploy and evolve a modern tech stack and utilities to enable our AI/ML and agentic efforts will be a key foundation to our success.
- We are aiming for AI/ML to be an everyday utility.
- The team is cross-functional, impact-driven, independent, and constantly evolving to meet the scientific needs.
- The Opportunity As a machine learning engineer in AI Enablement, you will be working closely with folks that span the gamut from Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between.
- You'll build, own, and constantly improve scalable AI/ML-based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients.
- Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems.
- Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality.
Additional details
- Within the CoE organisation, the Data and Digital Catalyst (DDC) organisation drives the modernisation of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making.
Notes and original content
- The Engineering
