Remote PhD AI Research Intern - LLMs & ML Systems

Atlassian Corp.

San Francisco (CA)

Remote

USD 81,000 - 105,000

Full time

2 days ago
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Benefits offered by this job

Health resources
Volunteer days
Accommodations during recruitment

Job summary

At Atlassian, this PhD Research Intern role sits within the Machine Learning Research team. You will work on advanced ML and AI technologies, focusing on LLMs, generative AI, conversational agents, and AI optimization.

The internship emphasizes hands-on research, training and evaluation of AI models, and collaboration with experienced researchers and engineers. You will contribute to practical industrial research challenges, gain exposure to academic and applied research, and help push the

Qualifications

  • Completed Bachelors degree in Computer Science or a related field.
  • Currently pursuing a PhD in Computer Science or a related field, with completion date between Sep 2026 and Jun 2027.
  • Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques.
  • Proficiency in Python programming and ability to write clean, efficient code.

Responsibilities

  • Collaborate cross-functionally with Research Scientists and ML Engineers to design experiments.
  • Curate, preprocess, and manage large-scale datasets for training and evaluation.
  • Conduct continued training, fine-tuning, and alignment of large language models for specialized applications.
  • Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses.
  • Contribute to publications and presentations at internal workshops or top-tier venues.

Skills

Python
NLP
CV
PyTorch
NumPy
Pandas
Hugging Face

Education

Bachelor's degree in CS
PhD student in CS

Tools

NumPy
Pandas
Matplotlib
Hugging Face
PyTorch

Job description

At Atlassian, this PhD Research Intern role sits within the Machine Learning Research team. You will work on advanced ML and AI technologies, focusing on LLMs, generative AI, conversational agents, and AI optimization.

The internship emphasizes hands-on research, training and evaluation of AI models, and collaboration with experienced researchers and engineers. You will contribute to practical industrial research challenges, gain exposure to academic and applied research, and help push the

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