Experience designing or developing agentic frameworks, orchestration systems, or infrastructure for building and running AI agents
What you'll be doing
Develop and maintain efficient, reliable, and scalable infrastructure for large-scale machine learning training, evaluation, and benchmarking
Architect, design, and implement large-scale data pipelines for heterogeneous scientific data, supporting model training, experimentation, evaluation, and benchmarking
Build and optimize distributed data processing, model training, evaluation, and benchmarking pipelines
Develop software and agentic workflows to automate and improve model development, training, evaluation, and benchmarking
Continuously monitor and improve the stability of data, training, evaluation, and benchmarking workflows
Work cross-functionally with machine learning researchers, engineers, and natural science researchers
Maintain high standards in code quality and software design
Document and share best practices across the organization
Perks and benefits
Competitive base pay ranges depending on location (e.g. £74,700.00 - £122,600.00 in the UK; €90,100.00 - €152,500.00 in Germany; €78,800.00 - €133,300.00 in the Netherlands)
Potential eligibility for additional benefits and other compensation
Equal opportunity employer with support for religious and disability accommodations during the application process