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CuspAI

AI system designs candidate materials

Head of Scientific Applications

Solution EngineeringConfirmed live in the last 24 hours
Full-timeSingapore

About the Job

Requirements

  • A PhD or equivalent in Materials Science, Chemistry, Chemical Engineering, or a related computational field.
  • A strong computational modelling background in chemistry or materials science.
  • Deep and broad subject matter expertise across multiple relevant materials science disciplines, such as semiconductors, catalysis, separations and surfaces, or energy materials.
  • Proven experience in line managing, mentoring, and developing a technical team, such as Application Scientists or Machine Learning Engineers.
  • Experience working on a range of external projects and translating requirements into deliverables.
  • Ability to translate complex deep-tech concepts into clear commercial requirements and vice versa.
  • Experience operating across technical and commercial domains.

Responsibilities

  • Act as the main technical point of contact for all CuspAI projects and partnerships in Singapore.
  • Develop and articulate the technical capabilities of the CuspAI platform to partners and potential clients.
  • Play hands-on roles in technical projects, including writing detailed technical proposals, defining project objectives, and delivering projects.
  • Translate high-level commercial requirements from the Chief Strategy Officer, Managing Director, Singapore, and partners into achievable technical work packages and realistic deliverables.
  • Work with Technical Program Managers, Application Scientists, and core Machine Learning and Platform Engineering teams to map project timelines and resource allocation.
  • Grow and manage a small local team of Application Scientists, set performance goals, mentor team members, and foster a collaborative, high-impact environment.
  • Provide line management and technical guidance to regional Machine Learning and Machine Learning Operations Engineers, ensuring alignment with the Chief Technology Officer and Vice President of Platform Engineering in Europe.
  • Partner with the Chief Technology Officer, Vice President of Platform Engineering, and Vice President of Scientific Engineering to integrate Singapore's technical strategy with the global platform and research development roadmap.
  • Work with the Machine Learning team and experimental lab partners to ensure project execution uses the platform's advanced capabilities.

Desired Qualifications

  • Exposure to current applications of artificial intelligence or machine learning in materials science and related areas.
  • Direct experience or strong awareness of laboratory automation and data-generation pipelines for high-throughput experiments.
  • Prior experience in an early-stage startup or a fast-moving, ambiguous deep-tech environment.

About the Company

CuspAI

AI system designs candidate materials

CuspAI builds an AI system for materials discovery that acts like a search engine for materials that do not yet exist. Its AI Materials Foundry uses a global network of labs, computing resources, and partners to design candidate materials when customers specify desired properties, spanning semiconductors, energy, climate, water treatment, and carbon capture. Unlike others, it combines AI-driven materials design with a broad, real-world Foundry network and high-profile advisers to turn requests into tangible material candidates. The company’s goal is to accelerate the creation of new materials by providing a scalable, end-to-end workflow that goes from property targets to candidate materials ready for testing and development, with ongoing expansion across the US, APAC, and Europe.

Company size
51-200
Company stage
Series B
Total funding
$580M
Headquarters
Cambridge, United Kingdom
Founded
2024

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