Post Doctoral Machine Learning Research Scientist Jobs

Post Doctoral Machine Learning Research Scientist

Hewlett Packard Enterprise

Location:
United States, Milpitas

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

47.75 - 72.00 USD / Hour

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Job Description:

The Core Machine Learning Research team within the Artificial Intelligence Research Lab at Hewlett Packard Labs is hiring exceptional postdoctoral researchers to work on advanced techniques in Generative AI, Large Language Models, Reinforcement Learning, and optimization, aiming for transformative applications in areas such as digital twins, nuclear fusion, sustainability, and trustworthy AI systems. Researchers will work in an innovative environment blending foundational research and real-world impacts, with opportunities to collaborate with high-caliber peers and publish in top-tier venues.

Job Responsibility:

LLM and agentic architectures with refinements to enhance trust for complex applications and workflows
Multi-agent and multi-objective reinforcement learning for complex physical systems
Generative models and Optimization for scientific domains such as inertial confinement fusion
Scalable, safe AI systems that push the boundary of what’s possible in applied ML

Requirements:

PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning
Extensive experience in deep learning research is required, preferably with Reinforcement Learning and Large Language Models
Experience in developing applications with deep learning frameworks like PyTorch with a high software proficiency

Nice to have:

Research experience in Large Language Models (LLMs) and/or Reinforcement Learning
Strong foundation in deep learning, with high proficiency in data structures and algorithms
Hands-on experience with PyTorch and other leading machine learning frameworks (PyTorch required)
Proficient in Python, with strong software development skills
Publication record in top-tier ML/AI conferences or journals

What we offer:

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Specific programs catered to helping you achieve career goals
Inclusive working environment
Collaborations with top-tier research institutions, national labs, and global AI initiatives

Additional Information:

Job Posted:
August 27, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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