Own full-cycle recruiting for senior research and engineering roles, partnering with founders and technical leaders on talent strategy, sourcing, assessment, offers, and scalable hiring practices.
Build and operate scalable infrastructure for data, training, and inference, shaping multi-cloud and deployment capabilities while partnering with founders, researchers, and engineers on critical product decisions.
Lead research on post-training data curation for foundation models, developing algorithms for instruction and preference data and exploring joint optimization of pre-training and post-training data.
Turn AI research into technical stories, demos, videos, and launches; build DatologyAI’s voice on X, support founders and researchers, and bring community feedback back to the team.
Build and optimize large-scale data curation and experimentation systems, translating research into reliable production pipelines for language, vision, and multimodal datasets.
Own post-sales technical deployments of an AI data platform, guiding strategic customers through architecture, production rollout, and adoption across cloud, on-prem, and hybrid environments.
Investigate how training data interventions improve deep learning model quality and behavior, translating research into experiments and product impact in collaboration with engineers and customers.
Own product strategy and roadmap for an enterprise data curation platform, translating ML research into usable AI tooling while building product processes and aligning research, engineering, sales, and customers.
Build and own full-stack customer products for data curation, visualizations, and internal tooling, partnering with researchers, engineers, designers, and customers to deliver reliable, secure features.
Design, build, and operate secure, reliable, scalable cloud infrastructure for machine learning training, inference, and data curation, while shaping multi-cloud deployment, observability, and cost efficiency.
Lead technical pre-sales engagements and customer PoCs, applying ML training and evaluation expertise to show how data curation affects model quality, training efficiency, and deployment outcomes.
Lead the development of scalable data processing systems and backend services for a data curation platform, partnering with researchers and engineers to bring new capabilities to customers.
Page 1 · 12 results
