Prior Labs is developing advanced foundation models to transform the way spreadsheets and databases are understood and utilized, impacting scientific discovery, medical research, financial modeling, and business intelligence. Backed by prominent investors and industry leaders, Prior Labs leverages AI, machine learning, and data science to revolutionize tabular data processing, offering predictive analytics solutions that drive innovation across various sectors.
Open Positions
Research Scientist Intern (PhD)
PhD in Computer Science, Applied Mathematics, Statistics, Electrical Engineering, or related field
Full Stack Engineer, ML Platform
5+ years of software engineering experience, experience working across the stack, passion for user experience, data science and machine learning
Technical GTM Specialist
Background in computer science, 1-3 years of experience in sales development or technical GTM, strong communication skills, and persistence
Office Manager - Freiburg
Hands-on, self-starter with excellent organizational and communication skills, proactive attitude, and willingness to tackle any task
Data Scientist
PhD/Masters in a quantitative field + 3 yrs experience building/deploying ML/AI, Deep Python & data science ecosystem knowledge, Ability to translate complex tech into tangible value
ML Engineer, Cloud Platform
3+ years experience in cloud/data platform/SRE. Experience with IaC and containerization. Strong Python skills are essential
Developer Relations
Technical background in CS, DS or related field, 3+ years in developer relations or community management, strong ML and data science understanding, excellent written and verbal communication skills
Research Scientist
PhD, experience with ML frameworks, Python expertise, data-science experience, and publications at top-tier venues
ML Engineer
Strong Python and ML framework (PyTorch, Scikit-Learn) skills. Experience implementing and deploying ML systems is key. Passion for foundation models and clean code is important
ML Engineer, Forward Deployed
Strong engineering fundamentals, hands-on experience with ML frameworks, and proven track record of deploying ML systems in production environments
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