Own Technical Excellence: Define architecture, design patterns, and engineering standards for the feature store platform, ensuring code quality, reliability, and performance.
Lead V2 Implementation: Architect and execute the next generation of our feature store, building for scale, low-latency serving, and enterprise-grade reliability.
Guide Product Roadmap: Partner with Product and leadership to shape the technical roadmap, translating customer requirements and market trends into actionable engineering priorities.
Redis builds the product that runs the fast apps our world runs on. Our feature store enables organizations to manage, serve, and monitor features at scale, delivering a foundation for mission-critical machine learning workloads. We value curiosity, diversity of thought, and innovation, and we're committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported.
Assist in developing and maintaining backend and front-end solutions.
Support enhancements to the drag-and-drop flow builder.
Collaborate with product managers, designers, and engineers to deliver new features.
Miratech is a global IT services and consulting company that brings together enterprise and start-up innovation, supporting digital transformation for some of the world's largest enterprises. They are a values-driven organization that retains nearly 1000 full-time professionals, with an annual growth rate exceeding 25%.
Execute full-cycle recruitment for Life Sciences roles.
Source candidates across specialist channels and maintain a proactive pipeline.
Deliver a consistent, high-quality candidate experience.
Welocalize is a trusted global transformation partner that helps brands and companies reach international audiences. They deliver multilingual content transformation services in translation, localization, and adaptation, supported by a network of linguistic resources.
Develop and iterate realistic prompts to test the relevance and quality of AI-generated insights.
Systematically evaluate divergence between professional investment reasoning and AI outputs.
Translate how institutional investors evaluate securities into problems that push the limits of AI reasoning.
Mentis AI works at the intersection of institutional investment expertise and frontier AI systems. Their team combines deep asset management experience with machine learning and applied AI research.