At our company, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
The Responsibilities
Conduct hands-on research and development of state-of-the-art models, algorithms, and systems.
Lead research projects end-to-end from problem formulation, ideation, and experimental design to prototyping and transition into production.
Explore new methodologies and develop creative approaches to solve complex challenges.
Identify ambitious research directions and invent novel approaches to solve complex, high-impact problems.
Shape the research roadmap and influence long-term technical strategy across the organization.
The Responsibilities
Conduct hands-on research and development of state-of-the-art models, algorithms, and systems.
Lead research projects end-to-end from problem formulation, ideation, and experimental design to prototyping and transition into production.
Explore new methodologies and develop creative approaches to solve complex challenges.
Identify ambitious research directions and invent novel approaches to solve complex, high-impact problems.
Shape the research roadmap and influence long-term technical strategy across the organization.
Requirements:
5+ Years as a Data Scientist with proven production-level impact.
Masters degree in Computer Science, Mathematics, Statistics or Engineering (PhD is a plus but not required).
Experience conducting applied research and working with Transformers, open-source LLMs, or other advanced deep learning architectures.
Strong programming skills in Python and familiarity with modern ML tooling and frameworks.
Excellent problem-solving abilities and a strong experimental mindset.
Effective collaborator with strong communication skills.
High curiosity and a passion for learning new technologies, methods, and domains.
5+ Years as a Data Scientist with proven production-level impact.
Masters degree in Computer Science, Mathematics, Statistics or Engineering (PhD is a plus but not required).
Experience conducting applied research and working with Transformers, open-source LLMs, or other advanced deep learning architectures.
Strong programming skills in Python and familiarity with modern ML tooling and frameworks.
Excellent problem-solving abilities and a strong experimental mindset.
Effective collaborator with strong communication skills.
High curiosity and a passion for learning new technologies, methods, and domains.
This position is open to all candidates.
