Job Summary

This position is based in Europe. Relocation assistance and work sponsorships will be provided. We are looking for a highly skilled Machine Learning Engineer with a strong background in Large Language Models (LLMs) to join our team. This position offers the chance to contribute to cutting-edge innovation in a world-class research environment. You will work on core model development , building and optimizing LLMs from the ground up — not just applying or fine-tuning pre-trained models. If you’re passionate about transformer architecture, model compression, distributed training, and LLM research, this is the role for you. Senior Machine Learning Engineer Qualifications: Ph.D. in AI, ML, NLP, or related field

2+ years of experience in deep learning and neural networks

2+ years of direct, hands-on experience building or training LLMs or transformer models

Deep understanding of transformer internals , including architecture, training loops, attention, and loss functions

Proficiency with PyTorch , HuggingFace Transformers , Accelerate , and similar libraries

Demonstrated ability to optimize training and inference (e.g., mixed precision, FlashAttention, gradient accumulation)

Experience with distributed systems , cloud platforms (AWS preferred), and GPU-accelerated workloads

Strong written and verbal English communication skills Senior Machine Learning Engineer Responsibilities: Design, build, and train LLMs from scratch, including architecture design, dataset preparation, and optimization

Lead research and development in transformer architectures , model internals, and efficient training techniques

Apply model compression and optimization strategies (LoRA, QLoRA, quantization, pruning, distillation, etc.)

Implement and scale distributed training using frameworks such as DeepSpeed, FSDP, HuggingFace Accelerate

Optimize inference performance using tools like TensorRT , vLLM , and other runtime frameworks

Evaluate and benchmark model accuracy, robustness, and efficiency across real-world use cases

Contribute to the design of quantum-inspired AI methods for model compression and acceleration

Collaborate cross-functionally to integrate LLMs into products and guide junior team members

Stay current with state-of-the-art techniques in LLM research and contribute to our innovation pipeline Senior Machine Learning Engineer Benefits Base salary: €70–85k+

Performance-based bonus (10–20% of base)

Signing bonus & relocation support

Work visa sponsorship

Private health insurance

Educational budget & language classes

Career development planning and mentorship

Flexible working hours & hybrid setup

Work in a multicultural, fast-paced, and research-driven environment

Opportunity to work on quantum-enhanced AI projects few others are tackling Join us if you want to push the boundaries of what’s possible with LLMs — not just apply them. If you thrive in a rigorous, research-heavy setting and want to influence the next wave of AI innovation in Europe, we’d love to hear from you. #post

Brooke Sanchez