FAQs
What location options are available for this role?
This role can be operated from either Boston (USA) or Darmstadt in the Rhine-Main area (Germany).
What educational background is required for this position?
A degree in Chemistry or a related field with a strong background in machine learning, or a degree in Machine Learning/Computer Science with a strong background in Chemistry or a related field is required; a PhD is a plus.
What kind of experience is preferred for applicants?
Applicants should have experience in developing, training, and using machine learning models beyond textbook problems, and familiarity with scientific modeling and data analytics software libraries and programming languages.
Are there specific technical skills needed for this role?
Yes, experience with high-performance computing systems and/or cloud infrastructure is required.
Is industry experience considered a bonus for this position?
Yes, having industry experience or a track record of developing and/or applying innovative machine learning solutions to impactful business problems is a bonus.
What can candidates expect from the work environment?
Candidates can expect a stimulating environment within a diverse, high-caliber department focused on innovation at the intersection of business, chemistry, and digital technology.
What values does the company promote regarding diversity and inclusion?
The company celebrates all dimensions of diversity and believes it drives excellence and innovation, creating access and opportunities for all to develop and grow at their own pace.
Will there be opportunities for professional development?
Yes, the role offers opportunities to expand skills in scientific computing, HPC infrastructure, and business dimensions.
How does the team approach innovative methods in machine learning?
The team focuses on separating hype from substance, supporting various business sectors in understanding and utilizing the value of innovative approaches for their daily work and as part of new products.