Machine Learning Engineer, Memory
On-sitePorto Alegre, Rio Grande do Sul, Brazil
Job Summary
Design new memory architectures that work across problems, modalities, and products. Define new ways to measure and evaluate memory performance. Help create and deliver production-ready, scalable, and high-quality learning models and associated algorithms. Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap. Collaborate with researchers on projects requiring memory in different modalities to define general solutions that enable models to represent experience, decide what to keep and discard, and efficiently store, retrieve, and exploit memory. Requires a PhD in Computer Science, Mathematics, or related field, or 3+ years of relevant industry experience with expert knowledge of foundational models, vision, and language.
Required Qualifications
- PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience
- Experience creating machine learning algorithms for vision and/or language problems and deploying them as production-level systems
- Expert, hands-on knowledge of Foundational models and vision and/or language, incl. local deployment and model post-training of open weights models
- Expert, hands-on knowledge of Memory, state, or long-horizon behaviour in foundation models: your experience may come from language agents and long-context methods, reinforcement learning under partial observability, world models, or sequence modelling
- Expert, hands-on knowledge of Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)
- Experience with working collaboratively with other developers, following a flexible and agile approach
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