Senior AI Software Engineer - Model Training

Aleph Alpha • Heidelberg, BW, DE

Actively Hiring

Full-time Posted 2 months ago

Role overview

check_circle Co-own the training pipeline end-to-end. Design, build, and maintain the infrastructure and components that let us iterate fast on experiments.
check_circle Build high-quality tooling. Model training is a continuous effort, and we deliberately invest in our tooling and infrastructure to stay successful long term.
check_circle Collaborate across disciplines. We believe in cross-functional teams. Engineers and researchers work closely so we can learn from each other and iterate faster together.
check_circle Champion good engineering practices. Working incrementally, maintaining fast feedback loops, and refactoring continuously keep a team successful long-term, especially when moving fast.
check_circle Shape the direction of the team. Our culture empowers individuals to take ownership. If you see that we'll need more GPUs, a different storage system, or a change to how the team is set up, you should drive this change.

A track record of taking initiative to deliver high-impact work.
Experience contributing in high-performing teams.
Degree in computer science, engineering, or a related field.
Willingness to relocate to Germany. Our primary working locations are Heidelberg (preferred) and Berlin, although there is some flexibility to work from other locations in Germany with regular travel to Heidelberg (potentially weekly).
Ability to write software that other strong engineers want to read and build on.
Desire to take ownership of problems and collaborate with other teams to solve them.
Deep interest in how state-of-the-art foundation models work.
Strong communication skills, with the ability to convey technical solutions to diverse audiences.
Experience working with distributed systems.
Experience working with Kubernetes.
Experience bringing AI research innovations into production.
Experience in areas such as large-scale data processing or distributed computation for foundation model training or inference.
Experience with performance engineering: profiling, benchmarking, and optimizing code for throughput, latency, or memory.

check_circle Become part of an AI revolution!
check_circle 30 days of paid vacation
check_circle Access to a variety of fitness & wellness offerings via Wellhub
check_circle Mental health support through nilo.health
check_circle Substantially subsidized company pension plan for your future security
check_circle Subsidized Germany-wide transportation ticket
check_circle Budget for additional technical equipment
check_circle Flexible working hours for better work-life balance and hybrid working model
check_circle Virtual Stock Option Plan
check_circle JobRad Bike Lease

Fulltime Ai