Lead ML Research Scientist

About the role

Explore and develop approaches that combine neural models with formal verification and symbolic reasoning techniques. A successful Lead ML Researcher should have: PhD in Machine Learning, NLP, or a related field, or equivalent depth of research experience in industry. Deep understanding of transformer architectures, optimization techniques, and LLM training methodologies.

What you'll do

• Lead cutting-edge AI research for real-world engineering systems
• Shape strategy, publish research, and build a high-impact team
• Define and lead the company's machine learning research agenda across model training, reinforcement learning, synthetic data, and neurosymbolic AI
• Own the end-to-end model development lifecycle, including pre-training, fine-tuning, alignment, and evaluation
• Establish high research standards around experimentation, reproducibility, and evaluation methodologies

What you need

• 6–11 yrs of experience
• Machine learning
• Research
• LLMs
• NLP
• Embedded C
• PhD