Mercor is seeking a fully remote MLOps/ML systems engineer to help build foundational AI models and scalable model serving infrastructure. The role focuses on accelerator kernel programming, performance profiling, and high-throughput inference, with hands-on work on JAX, XLA, and various accelerators.
Your engagement is worldwide and structured as a 40-hour week. You will design kernels and debugging tasks, guide teams to improve model performance, and contribute to training data quality for
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Remote GenAI MLOps & ML Systems Engineer employer: Mercor
Mercor is an exceptional employer that champions innovation and creativity in the AI sector, offering a fully remote work environment that promotes flexibility and independence. With a strong focus on employee growth, team members are encouraged to take ownership of their projects while benefiting from a supportive culture that values collaboration and continuous learning. Joining Mercor means being part of a forward-thinking company backed by industry leaders, where your contributions directly impact cutting-edge search technologies.
