Overview
As a Research Scientist, your mission is to operate at the intersection of foundational research and applied innovation. You will advance our reputation in the global ML community by pursuing and publishing high-impact work at top-tier conferences (e.g., NeurIPS, ICML). You will also explore and test forward-thinking hypotheses in agentic automation and translate research breakthroughs into novel capabilities that push the boundaries of our products.
Responsibilities
* Develop novel machine learning architectures that form the basis for autonomous agents, enabling them to interact with complex systems, formulate plans, and automate the solving of hard problems.
* Read papers, propose model improvements, implement, and test the new models. Take ownership of a research agenda, including proposing and carrying out high-impact research projects.
* Present research findings both internally and at machine learning conferences like ICML, ICLR, NeurIPS, etc.
* Collaborate with applied scientists and engineers to improve our AI/ML products.
* Stay up to date with the latest research and technology and communicate your knowledge throughout the company.
* Mentor other members of the team and help hire new people.
Qualifications
* A PhD in Machine Learning / Computer Science or equivalent practical experience in a technical field. Publication record at leading machine learning conferences is a significant plus (ICML, ICLR, NeurIPS, etc.).
* Proven experience in successfully driving long-term, ambiguous projects to completion, preferably with significant practical impact.
* Strong quantitative intuition and mastery of linear algebra, probability and statistics.
* Software development experience programming in Python and modern ML libraries like PyTorch, Tensorflow, or JAX.
* Excellent communication and collaboration skills, with the ability to effectively work with other researchers, as well as with infrastructure and product teams.
* Good intuition for how computers work, particularly how they interact with modern machine learning techniques.
* Experience with another programming language (e.g., Rust / C++ etc.) is a plus.
* Working knowledge of GNU/Linux.
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