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AI Applied Scientist – PhD Intern, Foundational AQ & EQ
Research ScientistResearch ScientistInternshipRemoteTeam 5,001-10,000Since 2006H1B SponsorCompany SiteLinkedIn
Location
California + 15 moreAll locations: California, Colorado, Connecticut, District of Columbia, Hawaii, Illinois, Nevada, New Jersey, New York, Ohio, Maryland, Massachusetts, Minnesota, Rhode Island, Vermont, Washington
Posted
158 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
Benefits
- comprehensive medical, dental, vision, life, and disability coverages
- parental leave
- family benefits
- retirement contributions
- paid time off
