Senior AI Researcher (f/m/d)

at  Aleph Alpha

OVERVIEW:

Aleph Alpha Research’s mission is to deliver category-defining AI innovation that enables open, accessible, and trustworthy deployment of GenAI in industrial applications. Our organization develops foundational models and next-generation methods that make it easy and affordable for Aleph Alpha’s customers to increase productivity in development, engineering, logistics, and manufacturing processes.
We are hiring to grow our org in Heidelberg, Germany, and are looking for well-rounded, experienced AI researchers with a strong engineering profile and backgrounds in machine learning, foundational models, distributed computing, and AI accelerators.
As a Senior AI Researcher in Aleph Alpha Research, you develop new approaches to increase the efficiency of the foundational model training pipeline, from data pre-processing and augmentation, through pre-training, model fine-tuning and multi-modality, to accelerated inference, next-generation explainability, alignment, and model control.
In our Foundational Models team, you create powerful state-of-the-art, multi-modal, foundational models, research and share novel approaches to pre-training, fine-tuning, and helpfulness, and enable cost-efficient inference on a variety of accelerators.
In our AI Agents team, you create technology to solve complex tasks that require multiple thinking/planning steps and interactions with the world, research novel approaches for agents to generalize to yet unseen tasks, and enable users to control the behavior and ethics of models at deployment time.
In our Explainability team, you develop methods to make the behaviors of AI systems inspectable, understandable, and validatable to users.

BASIC QUALIFICATIONS

• 3+ years of software development experience in machine learning systems, with dedicated expertise in one or more of the following topics: self-supervised learning, natural language processing, multimodal modeling, deep learning explainability, reinforcement learning…
• Solid understanding of DL/ML techniques, algorithms, and tools, for training and inference
• Experience and excellent knowledge of Python and at least one common deep-learning framework, preferably PyTorch
• Ready to relocate to Heidelberg, Germany
• PhD in machine learning, computer science, or a related field, and a strong mathematical foundation

PREFERRED QUALIFICATIONS

• Track record in developing novel deep-learning algorithms or systems, e.g., via open-source project contributions, peer-reviewed publications, etc.
• Experience devising, implementing, or training machine learning models at a large scale (10B+ parameters), experience with transformers
• Strong collaborative and interpersonal skills

• Research and development of novel approaches and algorithms that improve training and inference of foundation models for practical use in real-world applications
• Development, training, and maintenance of deep learning models
• Analysis and benchmarking of state-of-the-art as well as new approaches
• Collaborating with scientists and engineers at Aleph Alpha, IPAI Aleph Alpha Research, chosen external industrial and academic partners, as well as directly with customers
• Publishing own and collaborative work on machine learning venues, and making code and models source-available for use by the broader research community
• Engaging in our hiring process and otherwise developing, growing, and mentoring junior scientists