Materials AI Scientist — Flexible Hours, Growth & Impact

Dassault Systèmes; Cambridge; Hybrid; GBP 60,000 - 100,000; Full time

Benefits offered by this job

Flexible working hours

Hybrid work model

Competitive salary and benefits

Job summary

Dassault Systèmes in Cambridge, United Kingdom, seeks a highly skilled AI/ML professional to develop Gen7 virtual assistant software for materials science, and to create generative material and chemistry projects representing Gen7 virtual twins.

Role involves collaboration with QA, documentation, and internal/external stakeholders. Excellent English communication, leadership, and continuous learning are valued in our hybrid work environment.

Qualifications

• PhD or Master in materials science, chemistry, mathematics, computer science or related field.
• Practical experience with deep learning and ML frameworks.
• Experience in coding (web, cloud, algorithms, industry processes…).

Responsibilities

• Develop software for Gen7 virtual assistant focused on materials science.
• Develop generative material and chemistry projects representing Gen7 virtual twins.
• Coordinate with QA to ensure automated test coverage.
• Document new features and improvements with the documentation team.
• Act as a technical expert on Materials AI and related technologies.
• Regularly present progress to internal stakeholders and customers.
• Stay updated with relevant tools and processes and introduce them to the team.
• Foster a culture of openness, innovation, quality and continuous improvement.

Skills

Deep learning

Machine learning

Coding experience

English communication

Leadership experience

Education

PhD or Master in materials science, chemistry, mathematics, computer science or related fields

Job description

Dassault Systèmes in Cambridge, United Kingdom, seeks a highly skilled AI/ML professional to develop Gen7 virtual assistant software for materials science, and to create generative material and chemistry projects representing Gen7 virtual twins.

Role involves collaboration with QA, documentation, and internal/external stakeholders. Excellent English communication, leadership, and continuous learning are valued in our hybrid work environment.