Senior Researcher

About the role

At Fujitsu, we are driven by our purpose to make the world more sustainable by building trust in society through innovation. We have been a pioneer in technology and innovation for over 80 years, and we are committed to using our expertise to help businesses and organizations transform for the digital age. We believe that digital transformation is essential to creating a more sustainable future. That's why we are working with our customers to develop solutions that can help them reduce their environmental impact, improve their efficiency, and create a more equitable society. We are committed to contributing to the United Nations Sustainable Development Goals (SDGs). These goals are a blueprint for a better future for all, and we believe that technology can play a vital role in achieving them. If you share our passion for making a meaningful impact on the world, we invite you to join our global family of 130,000 employees spanning more than 50 countries. We are a diverse workforce, and we offer a wide range of opportunities for you to grow and develop your career. Together, we can create a more sustainable future for all.

Responsibilities

These are some exaples of possible research directions:

• Develop and prototype algorithms that enable AI systems to improve their models, learning strategies, data, or problem-solving processes.
• Investigate the relationship between training data and generalization, including methods for automatically selecting, generating, or refining data.
• Explore approaches for automating elements of creativity, scientific discovery, and ML research.
• Design rigorous experiments to evaluate novel hypotheses and understand why methods succeed or fail.

Requirements

• PhD, or near completion of a PhD, in machine learning, computer science, neuroscience, mathematics, statistics, physics, or a related field.
• A demonstrated ability to develop original ideas or substantially improve existing methods, as shown through research publications, projects, or comparable accomplishments.
• Strong interest in fundamental questions involving learning, generalization, data, automated discovery, or self-improving systems.
• Ability to independently formulate and pursue a research direction and carry a long-term project from hypothesis to experimental validation.
• Experience with at least one deep-learning framework, such as PyTorch or TensorFlow.
• Strong collaboration skills and enthusiasm for working with researchers from different technical backgrounds.
• Ability to communicate research ideas clearly and translate them into well-designed experiments and reliable implementations.

Skills

• Experience conducting interdisciplinary research.
• Expertise that complements conventional ML research, such as neuroscience, mathematics, statistics, physics, optimization, or automated scientific discovery.
• Experience developing high-performance implementations of deep-learning algorithms.
• Experience with large-scale experimentation or distributed training and inference.
• Experience mentoring researchers, students, or engineers.

Pay

The pay range for this position is estimated at $133,280 to $190,400 USD. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance.

Benefits

• Full range of health benefits
• 401K plan
• Other benefits
• Relocation supported
• Visa sponsorship approved