Machine Learning Engineer

DeepRec.ai; München; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

DeepRec.ai is seeking an experienced AI/ML engineer to lead design and optimization of language models using quantum-inspired techniques. You will collaborate across product teams to push LLM and NLP capabilities into our software.

The role involves developing compression techniques for LLMs, evaluating performance, building RAG systems and AI agents, and mentoring teammates in a fast-paced deep-tech environment.

Qualifikationen

• Bachelor's, Master's or PhD in AI, CS, Data Science or related field.
• 2+ years hands-on experience with deep learning and neural networks, ideally with LLMs/ Transformers.
• 2+ years with LLM/Transformer models; proficiency with HuggingFace Transformers, Accelerate, Datasets.

Aufgaben

• Design and implement quantum-inspired techniques for compressing Large Language Models.
• Run evaluations and benchmarks; fine-tune and optimize LLMs for accuracy, robustness and efficiency.
• Build LLM-based applications such as RAG systems and AI agents.
• Assess model strengths/weaknesses; propose improvements.
• Act as domain expert in LLMs; spot opportunities for quantum AI-driven innovation.
• Document development processes, experiments and results thoroughly.
• Mentor junior colleagues; share knowledge to foster learning culture.
• Take part in code reviews and provide constructive feedback.
• Keep up with latest LLM advances; recommend new tools and technologies.

Kenntnisse

Deep learning

LLMs/Transformers

Python

PyTorch

German language

Research ability

Documentation

Code reviews

Problem solving

GPU architectures

Ausbildung

Bachelor/Master/PhD in AI/CS

Tools

HuggingFace Transformers

Accelerate

Datasets

Docker

AWS

Jobbeschreibung

We're working for a well-funded, fast-growing deep-tech company, founded in 2019 and now 180+ strong. We're the largest quantum software company in the EU, and have been named twice by a leading industry analyst as one of the world's 100 most promising AI companies.

The role

You'll use cutting-edge quantum and AI technologies to lead the design, implementation and improvement of our language models, working closely with cross-functional teams to bring them into our products. Expect challenging projects, real research, and the chance to shape the future of LLM and NLP technology.

What you'll do

• Design and develop new quantum-inspired techniques for compressing Large Language Models, tackling tough use cases across industries


• Run rigorous evaluations and benchmarks, then fine-tune and optimise LLMs for accuracy, robustness and efficiency


• Build LLM-based applications such as RAG systems and AI agents


• Assess model strengths and weaknesses, and propose novel ways to improve performance


• Act as a domain expert in LLMs, spotting opportunities for quantum AI-driven innovation


• Document your development processes, experiments and results thoroughly


• Mentor junior colleagues and share your knowledge to foster a culture of continuous learning


• Take part in code reviews and give constructive feedback


• Keep up with the latest LLM advances and recommend new tools and technologies

What we're looking for

• Bachelor's, Master's or PhD in AI, Computer Science, Data Science or a related field


• Mid-level: 2+ years of hands-on experience with deep learning and neural networks, ideally with LLMs and Transformers


• Senior: 5+ years of hands-on experience with deep learning and neural networks, ideally with LLMs and Transformer architectures, or computer vision models


• 2+ years working with LLM and Transformer models, with excellent command of HuggingFace Transformers, Accelerate, Datasets and similar libraries


• Solid mathematical foundations and deep learning expertise across training and inference


• Excellent problem-solving, debugging, performance analysis, test design and documentation skills


• Strong grasp of GPU architectures and LLM hardware/software infrastructure


• Excellent Python skills and experience with PyTorch, HuggingFace and related libraries


• Experience with cloud platforms (ideally AWS), Docker, and deploying AI solutions in the cloud


• Excellent written and verbal communication, and the ability to collaborate in a fast-paced team


• Fluent German


• Research publications in deep learning or any technical field are a plus