At a Glance
- Tasks: Develop AI-driven materials science software and contribute to innovative generative projects.
- Company: Join Dassault Systèmes, a leader in tech innovation and collaboration.
- Benefits: Enjoy flexible hours, competitive salary, and a premium benefits package.
- Other info: Be part of a vibrant global culture with excellent career growth opportunities.
- Why this job: Make a real impact in the future of materials science with cutting-edge technology.
- Qualifications: PhD or Master in relevant fields and experience with AI/ML frameworks.
The predicted salary is between 63000 - 77000 £ per year.
As a Machine Learning & AI Materials Scientist, you will be a part of Dassault Systèmes Gen7 vision and actively contribute towards its implementation.
Materials AI is a strategically important, rapidly growing, and evolving core technology that will underpin the future of all Dassault Systèmes brands materials-related products and services.
Gen7 implementation of agentic workflows for modeling, simulation, and representation of materials is of critical importance to BIOVIA and to Dassault Systèmes in general.
Generative materials and chemicals research will enable the prediction of novel materials with desired properties while taking into account such aspects as synthesizability, stability, cost, environmental impact.
- Role Description & Responsibilities
- Software development for a Gen7 virtual assistant that is an expert in materials science.
- Software development for generative material and chemistry projects representing Gen7 virtual twins of materials, molecules and reactions.
- Contribute towards creating and validating project plans for the materials AI team that will deliver the roadmap.
- Coordinating with QA to ensure new and existing functionality has appropriate automated test coverage.
- Work with the documentation team to document new features and improvements.
- Act as a technical expert on Materials AI and its supporting technologies. Be able to answer questions originating from customers as well as internally.
- Regularly present your work to internal stakeholders and customers.
- Keeping up to date with relevant tools, technologies, and processes. Seek out and act on opportunities to introduce them into the team.
- Contribute towards fostering a culture of openness, innovation, quality, and continuous improvement.
Qualifications
- Ph D or Master in materials science, chemistry, mathematics, computer science or related fields.
- Practical experience with deep learning and machine learning algorithms and the use of popular AI/ML frameworks.
- Experience in coding (web, cloud, algorithms, industry processes…).
- Experience of modern development techniques and environments (agile, web, cloud…) – will be an asset.
- Industry experience working on AI related projects, preferably in the materials domain – will be an asset.
- Experience working as part of and with geographically dispersed teams, leadership experience also welcome.
- Excellent communication skills in English, both verbal and written.
- Excellent presentation skills.
- What’s in it for you
- Global Culture: A vibrant, diverse, and deeply collaborative international work environment.
- True Balance: Flexible working hours paired with a modern hybrid working model.
- Growth & Mentorship: Extensive, structured career development programs to help you scale your skills.
- Total Rewards: A highly competitive salary and a comprehensive, premium benefits package.
- #J-18808-Ljbffr
Machine Learning & AI Materials Scientist in Cambridge employer: PowerToFly
Morgan Stanley is an exceptional employer, offering a dynamic work environment in London that fosters professional growth and collaboration. With a strong commitment to diversity and inclusion, employees benefit from comprehensive perks and flexible working arrangements, while being part of a team that values integrity and excellence. The firm provides ample opportunities for career advancement, making it an ideal place for ambitious individuals looking to make a meaningful impact in the financial services industry.
