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We are looking for a highly skilled Machine Learning Engineer with a strong background in Large Language Models (LLMs) to join our European 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
- 5+ 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.
At Goodwin Recruiting we are committed to our core values. We take our value, Dedicated to Diversity & Inclusion, very seriously and will never discriminate against a candidate or client based on any protected classes. Our clients seek qualified candidates, and that is what we deliver. A person’s age, gender, race, sexual orientation, gender identity, national origin, veteran or disability status, or arrest or conviction record has no bearing on whether he, she, or they are able to do the job. We evaluate the knowledge, skills, and abilities that meet the requirements of the position and aim to open doors and change lives. We value all people, understanding that uniqueness and diversity foster a stronger team that is innovative and brings varying perspectives to the table. We put our money where our mouth is and are proud of our efforts to identify a broad slate of candidates, with many hiring success stories to share.
JOB ID: 152882
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Brooke Sanchez