Senior Researcher: Self-Improving ML Innovator

Fujitsu Limited; Santa Clara (CA); On-site; USD 133,000 - 190,000; Full time

Job summary

Fujitsu Limited in Silicon Valley seeks a Researcher in Self-Improving Machine Learning to push the boundaries of AI by building systems that improve themselves. You will work across disciplines to explore learning, data and discovery, shaping long-term research directions and translating insights into working AI solutions.

The role emphasizes deep theoretical work with practical experiments, collaboration across teams, and publication-quality results.

Qualifications

• PhD, or near completion of a PhD, in ML, CS, neuroscience, math, statistics, physics, or related field.
• Demonstrated ability to develop original ideas or substantially improve methods, via publications, projects, or achievements.
• Strong interest in learning, generalization, data, automated discovery, or self-improving systems.
• Ability to pursue long-term research from hypothesis to validation.
• Experience with a deep-learning framework (PyTorch or TensorFlow).
• Strong collaboration and cross-disciplinary communication.

Responsibilities

• Develop and prototype algorithms to improve models, learning strategies, or data.
• Study data-generalization relationships and data generation/refinement methods.
• Explore automation of creativity and scientific discovery in ML research.
• Design rigorous experiments to validate novel hypotheses.

Skills

Original ideas development

Independence in research

Collaboration skills

Communication of research

Education

PhD in ML/CS/Neuroscience/Math/Stats/Physics

Tools

PyTorch

TensorFlow

Job description

Fujitsu Limited in Silicon Valley seeks a Researcher in Self-Improving Machine Learning to push the boundaries of AI by building systems that improve themselves. You will work across disciplines to explore learning, data and discovery, shaping long-term research directions and translating insights into working AI solutions.

The role emphasizes deep theoretical work with practical experiments, collaboration across teams, and publication-quality results.