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Careers in AI

Discover opportunities within the Merantix AI Campus ecosystem.

Head of Machine Learning

Aleph Alpha

Aleph Alpha

Software Engineering
Heidelberg, Germany
Posted on Jan 8, 2025

Overview:
As the Head of Machine Learning at Aleph Alpha you will lead the productization of state-of-the-art proprietary and open-source research to drive innovation and deliver commercially viable products. Combining deep learning expertise with strategic leadership, you will oversee a team of AI and Inferencing engineers, ensuring the delivery of high-quality machine learning solutions aligned with business objectives.

Responsibilities:

  • Shaping the AI vision for all our products and developing strategies to fulfil this vision.

  • Lead a high-performing team of AI engineers, fostering collaboration with Research and excellence. Manage the IC’s and their managers’ career path, feedback, and development.

  • Drive growth of the AI engineering function by owning the recruitment and interviews of AI and Inference engineers.

  • Be a cultural ambassador and role model for the AI engineers in all Product teams bu supporting them in finding the best methodology for every use case.

  • Be a tech lead in high impact projects oversee the design, development, and deployment of machine learning solutions ranging from inference-time control features, standard fine-tuning customizations, RLHF, and agentic workflows.

  • Collaborate with product and business teams to align AI solutions with organizational goals.

  • Coordinate publications and appearances at conferences of the teams (jointly with Research) as well as open-source contributions.

  • Stay updated with the latest advancements in AI and apply them strategically.

Requirements:

  • Bachelor's or Master's in Computer Science, Engineering, or related field from top university. PhD is preferred.

  • 10+ years in machine learning, with at least one role in the GenAI context and 5+ years in leadership roles.

  • In depth understanding of LLMs, particularly Transformer architecture and on GPU level, and strong familiarity with popular NLP tools and frameworks to be able to provide guidance to principal AI engineers.

  • Experience in productionizing AI research innovations into real-world applications. You care about shipping AI solutions which will bring value to our users end-to-end and not end on building a prototype or writing a paper.

  • Strong leadership and communication skills, with proven ability to attract and retain top talent.

What you can expect from us:

  • Become part of an AI revolution!​

  • 30 days of paid vacation​

  • Public transport subsidy​

  • Fitness and wellness offerings (Wellhub)​

  • Mental health platform (nilo.health)​

  • Flexible working hours and hybrid working model​

  • Virtual Stock Option Plan