Researcher in Self-Improving Machine Learning
Researcher at Fujitsu's Self-Improving ML team (Santa Clara, CA)
About Our Research
We are exploring the next frontier in artificial intelligence: self‑improving machine learning systems; AI that refines and enhances itself. Our goal is to build systems capable of autonomously optimizing their own architecture, learning algorithms, and data strategies, enabling performance gains that surpass current human-driven methods by orders of magnitude.
Every AI system rests on three essential layers:
1. Infrastructure – hardware and software stack
2. Modeling – architecture design and training methodology
3. Data – selection strategies, supervision, and curation
Traditionally, each layer demands intensive human expertise and manual tuning. Our vision is different: AI that self-optimizes each layer dynamically and efficiently, far beyond what even top experts can achieve.
We believe self‑improving ML can revolutionize AI’s role: from solving today’s problems to dynamically evolving and solving tomorrow’s complex environmental and societal challenges. We’re committed to sustainable innovation, reducing energy usage and resource consumption while maximizing impact.
Company Overview
Fujitsu R&D, anchored in innovation and sustainability, aims to build societal trust through technology. Our global teams across Japan, North America, Europe, Israel, India, and China collaborate on five key technology domains: Computing, Network, AI, Data & Security, and Converging Technologies. We partner openly and rigorously to deliver solutions that make the world smarter and greener.
What You’ll Do
- Research & Prototype: Design and implement ML algorithms that autonomously improve themselves, tackling sophisticated computer vision, language and reasoning tasks.
- Demonstrate Impact: Show algorithmic breakthroughs across complex benchmarks with minimal training data.
- Publish & Present: Publish in top-tier journals and conferences; present findings in academic and industry forums.
- Translate to Impact: Develop tools and deployment strategies to integrate your research into real-world, sustainability-focused projects.
Essential Qualifications
- Ph.D. in Machine Learning, Computer Science, or a related field.
- Proven track record of original ML research—publications, novel methods, or standout projects.
- Strong independent thinker capable of driving a research agenda through long-term projects.
- Collaborative mindset—thrives working with academic and deployment teams.
Desired Qualifications
- Experience in interdisciplinary research and collaborations.
- Mentorship experience (guiding students or early‑career researchers).
- Track record of building high-performance deep learning systems.
Why Join Us?
- Frontier Innovation: Work on cutting-edge AI that evolves itself.
- Global Team: Collaborate with researchers across continents.
- Real-World Impact: Your research contributes to sustainability, resource efficiency, and societal advancement.
- Academic & Industry Blend: Publish at top conferences and see your work translate into deployed systems.
Ready to redefine what AI can become? Join us in building self‑improving systems for a smarter, more sustainable tomorrow.
Fujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, experience, and comparison to other employees already in this role. The pay range for this position is estimated at $156,800 to $224,000 USD. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance.
As a technology company, Fujitsu recognizes that human resources are its most important capital. To create an environment where all employees can work positively and healthily, both in mind and body, we offer a full range of health, 401K, and other benefits.
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