[Remote] ML Scientist in AI Explainability

Note: The job is a remote job and is open to candidates in USA. DeepRec.ai is a publicly listed deep tech company focused on the intersection of machine learning and scientific discovery. They are seeking an ML Scientist in AI Explainability to lead research into machine learning methods for scientific discovery, particularly in battery and material design, while collaborating with researchers and contributing to publications. Responsibilities • You will lead research into machine learning methods for scientific discovery, with a strong focus on multimodal Large Language Models and agent based systems • You will study how LLMs reason, plan, and generate solutions when applied to core scientific and engineering questions, particularly in battery and material design • You will design and optimize training pipelines for large models, tackling challenges around data quality, architecture, scalability, and compute efficiency • You will integrate domain specific data sources such as scientific literature and internal research documents into model training and inference • Your research will be deployed into a production multi agent AI system used for real battery technology discovery • You will collaborate closely with researchers, engineers, and external academic labs, and contribute to publications and conference presentations Skills • An MSc or PhD in Computer Science, Statistics, Computational Neuroscience, Cognitive Science, or a related field, or equivalent industry experience • Strong grounding in machine learning, deep learning, and Large Language Models, with hands on research experience • Solid Python skills and experience with frameworks such as PyTorch or TensorFlow • Experience working with causal graphs and explainability focused AI methods • A proven research track record, ideally including peer reviewed publications • The ability to explain complex technical ideas clearly to both technical and non technical stakeholders • Exposure to AI applied to material science, chemistry, or battery systems • Familiarity with recent research methods in LLM optimization and reinforcement learning approaches such as GRPO Benefits • Equity in a publicly listed company • Support for professional development • Publishing • Long term career growth Company Overview • We are your Deep Tech recruitment specialists, driven by a mission to power progress in the world’s most exciting industries. It was founded in 2023, and is headquartered in Bishop's Stortford, Hertfordshire, GB, with a workforce of 51-200 employees. Its website is Apply tot his job