PhD Machine Learning Engineer, New Grad
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The role
Develop and deploy large-scale ML systems that drive business value across multiple domains.
Lead end-to-end design, training, evaluation, and production deployment of ML models.
Build production-grade pipelines and ML Ops practices to enable scalable model serving.
Collaborate across cross-functional teams to incorporate feedback and solve complex technical challenges.
Rapidly learn new technologies and communicate status clearly to stakeholders.
Apply supervised/unsupervised learning, LLMs, and RL as appropriate to real-world problems.
Lead end-to-end design, training, evaluation, and production deployment of ML models.
Build production-grade pipelines and ML Ops practices to enable scalable model serving.
Collaborate across cross-functional teams to incorporate feedback and solve complex technical challenges.
Rapidly learn new technologies and communicate status clearly to stakeholders.
Apply supervised/unsupervised learning, LLMs, and RL as appropriate to real-world problems.
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