Design, implement, and evaluate novel ML/DL algorithms.
Iterate on AI model development from data to deployment.
Collaborate with researchers to prototype and validate solutions from literature.
Conduct experiments to benchmark techniques and evaluate models.
Develop tools to enable scalable, reproducible research.
Present research findings to leadership concisely.

🎯 Requirements

MS or PhD in Computer Science or Computer Engineering with AI/ML focus.
Familiarity with good software practices and version control.
Strong ML frameworks such as PyTorch or TensorFlow.
Strong understanding of Transformer architectures, attention, diffusion.
Experience with reinforcement learning and self-supervised or imitation learning.
Experience deploying production AI models.

🎁 Benefits

Reasonable accommodations available.
Equal Opportunity employer.

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