MLOps Engineer | Remote

Work SnapshotType: W2 ContractLocation: RemoteCommitment: Full-time, 40 hours/weekCommission: $90 $140 per hourWhat You Will Be DoingImprove model performance across MLOps, training infrastructure, and ML systems workflowsDesign and solve complex MLOps and distributed systems engineering tasksEvaluate technical solutions and provide structured written feedback on infrastructure performanceDevelop evaluation frameworks for training pipelines, distributed systems, and kernel-level optimizationCollaborate with technical experts to maintain consistency and accuracy across datasetsWhat We Are Looking ForStrong experience in ML infrastructure, MLOps, and ML systems engineeringStrong experience with JAX and/or PyTorch in large-scale production environmentsStrong experience writing and optimizing custom GPU kernels using Pallas or TritonStrong experience in distributed systems reasoning and training pipeline optimizationExcellent written communication and technical documentation skillsAbility to commit reliably to a full-time weekday scheduleHow To ApplyUpload resumeInterviewSubmit form