Machine Learning Engineering Technical Leader - CX AI

What you'll do

• Own end-to-end technical delivery of AI platform capabilities, from model selection and inference optimization to deployment.
• Establish rigorous evaluation and release practices, including regression gating, judge calibration, and drift detection.
• Lead technical roadmaps and mentor senior engineers while collaborating across product, security, and leadership.

What they ask for

• Machine learning experience in model development, training and adaptation, and evaluation.
• Experience with Python and modern ML frameworks such as PyTorch or JAX or similar.
• Experience taking machine learning work from research or prototype through to production.
• Production experience in a foundational AI platform area and experience leading full lifecycle projects.

Nice to have

• Experience with high-performance LLM/SLM inference, model specialization, generative AI evaluation, or agentic architectures.
• Experience with hybrid or air-gapped AI deployments, MLOps, enterprise security/governance, or external technical contributions.

Pay

$256,900.00 to $333,400.00 USD base salary; $256,900.00 - $383,500.00 USD base salary; $234,400.00 - $341,100.00 USD base salary

Tools

Python, PyTorch, JAX, vLLM, TensorRT-LLM, Triton, SGLang, llama.cpp

AI focus

Builds production AI platform capabilities, including model development and adaptation, inference, generative AI evaluation, agentic infrastructure, and deployment across cloud, on-premises, and air-gapped environments.