JAX Expert | Remote

Work SnapshotType: W-2 ContractCommitment: 40 hours per week, weekdaysWhat You'll Be DoingGuide research and engineering teams to close knowledge gaps and improve model performance across MLOps, training infrastructure, and ML framework-level topicsDesign and write accurate, well-structured solutions to MLOps and ML systems problems, generating high-quality training data for frontier systemsEvaluate tasks and solutions, providing clear written technical feedback with a focus on quality and consistencyDevelop detailed rubrics and evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimizationCollaborate with subject matter experts to ensure accuracy and consistency across training data contributionsWhat We're Looking ForStrong experience in ML infrastructure, MLOps, or ML systems engineering at a top-tier organizationStrong experience in JAX at scale in a production environmentStrong experience writing or optimizing custom GPU kernels using Pallas or TritonStrong experience designing and evaluating domain-relevant technical tasks with clear, structured written outputStrong experience with distributed systems reasoning and training pipeline architectureHow To ApplyUpload resume