Aleph Alpha

AI

SeniorAISoftwareEngineerModelTraining(f/m/d)

Heidelberg, Germany FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior AI Software Engineer – Model Training (f/m/d) at Aleph Alpha. Skills: Model Training, AI Software Engineering, Infrastructure Development, Distributed Systems. Co-own training pipeline. Design training infrastructure”

What You'll Achieve.

Deliver high-impact work; Iterate fast on experiments; Stay successful long term; Improve models quickly

Industry & Context.

AI
Problems you'll solve

Take ownership of problems; Solve problems

Eligibility Requirements

Willingness to relocate to Germany, Regular travel to Heidelberg

What They're Looking For.

Must Have

Track record of taking initiative, Experience contributing in high-performing teams, Degree in computer science, engineering, or a related field, Willingness to relocate to Germany, Ability to write software that other engineers want to read and build on, Desire to take ownership of problems, Collaborate with other teams to solve them, Deep interest in how state-of-the-art foundation models work, communication skills

Nice to Have

Experience working with distributed systems, Experience working with Kubernetes, Prior experience in machine learning, Experience bringing AI research innovations into production, Experience in large-scale data processing, Experience in distributed computation for foundation model training or inference, Experience with performance engineering

What You'll Do.

Co-own training pipeline

Design training infrastructure

Build training components

Build high-quality tooling

Invest in infrastructure

Collaborate across disciplines

Champion engineering practices

How You'll Work.

Team & Collaboration

Collaborate across disciplines; Engineers and researchers work closely; Learn from each other; Iterate faster together; Contribute in high-performing teams; Collaborate with other teams

Communication Scope

Convey technical solutions to diverse audiences

Full Job Description

OUR MISSION Aleph Alpha is one of the few companies in Europe doing serious foundation model pre- and post-training. We're building models that have general-purpose capabilities, and specifically excel at addressing the needs of our customers. We're looking for exceptional Software Engineers to join our model training team. Most of the team is based in Heidelberg . TEAM CULTURE At Aleph Alpha, we foster a culture built on ownership, autonomy, and empowerment. Teams and individual contributors are trusted to take responsibility for their work and drive meaningful impact. We maintain a flat organizational structure with efficient, supportive management that enables quick decision-making, open communication, and a strong sense of shared purpose. We believe a strong engineering culture is the key to model training success. We like Extreme Programming and favor trunk-based development. We often mob-program, which keeps us aligned and means we always learn from each other. ABOUT THE ROLE As a Software Engineer in Model Training, you'll work across our full stack. Some weeks you might be optimizing how training loads are scheduled on our cluster and making the pipeline more robust and performant so we can iterate faster. Other weeks, you'll be enabling large-scale code execution for reinforcement learning. And at other times, you might dig deep into our evaluation codebase to lift inference throughput on evals. No two days are the same. Things move fast, and your ability to focus and prioritize is what lets you unblock the team day-to-day while designing the high-quality tooling and infrastructure that speeds us up long-term. We're still building out our training pipeline and infrastructure. Some pieces exist, some don't, and you'll have real influence on what gets built and how. Your work directly shapes how quickly we can experiment and improve our models. YOUR RESPONSIBILITIES - Co-own the training pipeline end-to-end. Design, build, and maintain the infrastructure and

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