Own and pursue ambitious, long-term research goals.
Develop solutions for real-world, large-scale problems.
As needed lead teams to deliver on more complex pure and applied research projects.

Requirements

Ph.D./Master's degree in computer science, artificial intelligence, machine learning, or a related technical field
Strong publication record in top AI venues like NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ECCV, and ICCV.
Experience with one or more general-purpose programming languages, including but not limited to C/C++ or Python.
Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch).
Proven ability to implement, operate, and deliver results via innovation at a large scale.
Large Language Models (LLMs), LLM evaluation and benchmarking, multilingual LLMs, LLMs as foundation of agents

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

CC++PythonTensorFlowJaxPyTorchdeep learninglarge-scale problem solvingLLM evaluationLLM benchmarking

Soft Skills

leadershipinnovationteam collaborationcommunication

Certifications

Ph.D.Master's degree