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AI Applied Scientist – PhD Intern, Foundational AQ & EQ

Research ScientistResearch ScientistInternshipRemoteTeam 5,001-10,000Since 2006H1B SponsorCompany Site LinkedIn

Location

California + 15 more

Posted

165 days ago

Salary

$104K - $166K / year

Postgraduate DegreeExperience acceptedEnglishPythonPy TorchTensorflow

Job Description

• Conduct state-of-the-art research in foundational models and building agentic AI systems • Focus on fine-tuning and reinforcement learning of large language models (LLMs) • Explore the design of automated, agentic workflows that allow intelligent systems to reason, plan, and act • Collaborate with applied scientists, engineers, and product leaders • Design training algorithms for the improved agentic AI workflow

Job Requirements

Currently enrolled in a PhD program in Computer Science, Machine Learning, Artificial Intelligence, or a related field with a strong publication record
Advanced research in natural language processing (NLP) and/or reinforcement learning (RL)
Practical experience fine-tuning and adapting large language models (LLMs) for specific use cases
Familiarity with the design and implementation of automated/ agentic workflows
Deep understanding of LLMs, hands on experience of post-training with the most popular OSS models
Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
Excited about applying advanced AI methods to impactful, real-world problems
Strong research mindset, with motivation to publish