Bring your engineering AI/ML skills to the next level where you will achieve state-of-the-art throughput for critical models using advanced techniques like model parallelism and distributed training. You will reduce inference time for new model architectures using optimizations like quantization and pruning. You will collaborate closely with Applied AI engineering to optimize the internal inference stack, leveraging technologies like TensorRT, ONNX, etc. In this role you will assist with interviewing top tier talent as well as acting as a mentor to AI systems Engineers, while fostering a culture of continuous learning and innovation. You will coordinate the inference needs of JPMorgan Chase’s research teams, ensuring alignment with business goals.
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