Senior Machine Learning Engineer

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: 70-100k+
• 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.