Are you driven by the potential to revolutionise chemical engineering through Generative AI? At Monolith, we are searching for a talented individual to join our diverse team, working at the intersection of chemical engineering, artificial intelligence, and advanced research. Help us unlock new solutions to some of the most complex challenges in modern engineering.

Advance Your Research Career in Generative AI and Chemical Engineering

At Monolith, you will collaborate with innovators and specialists in a dynamic setting where your expertise in AI and chemical engineering will shape the future. Our inclusive, open culture enables you to push boundaries and deliver impactful real-world results.

Main Responsibilities – Generative AI Chemical Engineering Innovation

• Lead and execute research projects focused on applying Gen AI to solve complex chemical engineering problems such as molecular design, reaction optimisation, and process simulation.
• Develop, refine, and implement machine learning models for applications including materials discovery, catalyst design, and process automation.
• Engage with multidisciplinary teams of data scientists, engineers, and clients to translate scientific concepts into deployable AI systems.
• Publish and present research outcomes to internal stakeholders and the wider scientific and engineering community.
• Stay at the forefront of advancements in Gen AI, chemical modelling, and process simulation, proactively identifying opportunities for innovation.

Who You Are – Skills & Experience Required for Gen AI Chemical Engineering Research

• PhD or equivalent research experience in chemical engineering, computational chemistry, or a related scientific field.
• Strong background in machine learning, especially in generative models (e.g. GANs, VAEs, diffusion models) applied to chemical or materials domains.
• Proficient in programming and data analysis using Python, PyTorch or TensorFlow, and common cheminformatics or molecular simulation software.
• Excellent analytical, problem-solving, and communication skills—able to share complex concepts with technical and non-technical audiences.
• Proactive approach to autonomous work as well as effective collaboration in diverse, multi-disciplinary teams.

Desirable Qualities and Certifications in AI for Chemical Engineering

• Experience with generative AI for molecular or material property prediction, retrosynthesis planning, or chemical process optimisation.
• Knowledge of cloud technologies and scalable ML/AI pipelines.
• Published research or patents in generative AI, computational chemistry, or chemical engineering.
• Participation in open-source communities, AI competitions, or relevant professional societies.

Work Environment, Benefits, and Professional Growth

• Remote-first position, with opportunities to work from our London HQ or attend scientific events as needed.
• Flexible arrangements designed to respect work–life balance and individual needs.
• Competitive, inclusive compensation and benefits package.
• Continuous learning opportunities including support for conferences, certifications, and publishing.
• An empowering, innovative environment valuing every individual’s contribution.

Succeeding in a Research Scientist Role in Gen AI Chemical Engineering

If you thrive on scientific and technical autonomy, love solving frontier problems at the intersection of AI and chemistry, and want to harness technology to deliver sustainable breakthroughs, this is your opportunity. We welcome applicants from all backgrounds who are motivated by impact and knowledge-sharing.

Ready to Shape the Future of AI in Chemical Engineering?

We actively encourage applications from candidates of all genders, ethnicities, backgrounds, and abilities. If you are excited to pave the way for transformative AI-driven chemical engineering, apply now and join Monolith in building the future of scientific discovery!