Senior ML Engineer, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
€60,000 – €95,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Research & Development, Materials Science, Chemicals, Food TechnologyIndustries
Requirements
Candidates should possess a strong background in data science, machine learning, or applied statistics, preferably with experience in a scientific or engineering domain. They should have experience working with R&D, scientific data, or physical experimentation workflows, and ideally hold an advanced degree (MS or PhD) in a quantitative field such as Chemistry, Materials Science, Chemical Engineering, Physics, or Data Science.
Responsibilities
The ML Solution Engineer will collaborate closely with customers to understand their scientific challenges and data structures, providing technical guidance as a subject-matter expert in statistical modeling and experimentation strategies. They will also work with Product and Engineering teams to shape product direction, and contribute to cross-functional impact by translating technical concepts into business and scientific value, ultimately ensuring seamless onboarding and data structure for customers.
Skills
Data Science
Machine Learning
Applied Statistics
Scientific Data
Experimental Workflows
Customer Communication
Statistical Modeling
Experiment Design
Uncountable
Cloud-based R&D solutions for materials industry
About Uncountable
Uncountable provides cloud-based research and development (R&D) solutions specifically designed for the chemicals and materials industries. Their platform allows large enterprises to store, manage, and analyze materials and experiment data in real-time, which enhances collaboration and improves efficiency in complex R&D workflows. Unlike many competitors, Uncountable focuses on the unique challenges faced by these specialized sectors, offering a centralized system that integrates smoothly into existing processes. The company operates on a subscription-based model, where clients pay a recurring fee for access to features such as data storage, collaboration tools, and advanced analytics. This approach not only generates a steady revenue stream but also supports continuous improvements and expansions of their services.
San Francisco, CaliforniaHeadquarters
2016Year Founded
SEEDCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
11-50Employees