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Senior AI R&D Engineer – Model Training
Aleph Alpha. Work across the full model-training technology stack .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in optimizing model-training pipelines and infrastructure, with a strong focus on Test Driven Development, continuous integration, and collaborative programming practices. Proficient in refactoring code for maintainability and performance improvements.
Highest-signal resume keywords
Model-Training Pipeline OptimizationTest Driven Development (TDD)Continuous IntegrationDomain Driven DesignKubernetes
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Code RefactoringLow CouplingHigh CohesionIncremental RefactoringPythonRust
Soft Skills
InitiativeCollaborationProblem-Solving
Tools & Technologies
Kubernetes
Industry Keywords
Reinforcement LearningMob ProgrammingPair ProgrammingTraining-Pipeline Tooling
Tech Stack
Tools & technologiesKubernetesPythonRust
About the role
Key responsibilities & impact- Work across the full model-training technology stack
- Optimize training-load scheduling on the cluster
- Improve the robustness and performance of the model-training pipeline
- Enable large-scale code execution for reinforcement learning
- Improve inference throughput in evaluation systems
- Design and build training-pipeline tooling and infrastructure
- Identify issues and take initiative to unblock the team
- Collaborate through mob programming or pair programming
- Improve code maintainability through tests and design and architecture changes
- Influence what training infrastructure gets built and how
Requirements
What you’ll need- Ability to dive into a codebase, change behavior as necessary, and leave the code better tested and easier to understand
- Understanding of low coupling and high cohesion
- Ability to incrementally refactor
- Experience with Test Driven Development (TDD)
- Experience with trunk-based development
- Experience with continuous integration
- Experience with Domain Driven Design
- Experience with Python is a plus
- Experience with Rust is a plus
- Experience with Kubernetes is a plus
- Ability to learn and a suitable mindset
- Willingness to attend the office at least two days per week
- If based in Berlin, willingness to travel to Heidelberg every second month for a few days
Benefits
Comp & perks- 30 days of paid vacation
- Access to fitness and wellness offerings via Wellhub
- Mental health support through nilo.health
- Substantially subsidized company pension plan
- Subsidized Germany-wide transportation ticket
- Budget for additional technical equipment
- Flexible working hours
- Hybrid working model
- JobRad® Bike Lease