ML Solution Engineer

Uncountable is on a mission to accelerate the pace of innovation in physical product development by providing cutting-edge AI tools that empower R&D teams across industries. Our platform combines intuitive data management with intelligent machine learning models to enable faster, smarter experimentation in materials, chemicals, food, and more.
We’re looking for exceptional ML Solution Engineers/ Data Scientists to join our growing global team. In this role, you’ll work directly with leading R&D organizations to deploy Uncountable’s AI capabilities—transforming how new products are developed and bringing innovation to market faster than ever before.
What You’ll Do
Customer Collaboration: Partner closely with customers to understand their scientific challenges and data structures, ensuring seamless onboarding and data structure.Technical Guidance: Act as a subject-matter expert in statistical modeling and experimentation strategies, helping clients design experiments that get the most value from our platform.Cross-Functional Impact: Collaborate with Product and Engineering teams to shape product direction based on customer feedback and real-world usage patterns.
Who You Are
Strong background in data science, machine learning, or applied statistics, preferably in a scientific or engineering domain.Experience working with R&D, scientific data, or physical experimentation workflows.Exceptional communication skills and a customer-first mindset—comfortable translating technical concepts into business and scientific value.Comfortable working in a fast-paced, dynamic environment with a high degree of autonomy.
Preferred QualificationsExperience in customer-facing roles such as solutions engineering, technical consulting, or pre/post-sales data scienceAdvanced degree (MS or PhD) in a quantitative field such as Chemistry, Materials Science, Chemical Engineering, Physics, or Data Science.Experience in customer-facing roles such as solutions engineering, technical consulting, or pre/post-sales data science.Exposure to product development processes in materials, chemicals, pharma, or adjacent industries.
Why Uncountable?Work at the intersection of AI and scientific discovery with world-leading R&D teams.Be a key player in deploying real-world ML solutions that make tangible impact.