Machine Learning Engineer (Semiconductor Physics, Scientific Computing)
SEU - Switzerland - Schlieren
Applications have closed
Sony
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About the opportunity:
Sony AI is seeking a highly motivated, dedicated individual with expertise in Machine Learning and numerical optimization research. We’re currently looking for brilliant, enthusiastic people who want to join our team of world-renowned researchers as we push the boundaries of applying AI in support of human creativity. In this role, the successful candidate will contribute to our groundbreaking flagship project in AI for Chip Design. The role can be located either in Zurich, Tokyo, or the US.
Learn more about Sony AI here:
www.linkedin.com/company/sonyai/life
Your responsibilities:
- Develop and Implement fast, efficient and ground-breaking Machine Learning algorithms addressing hardware design. Focus on the generalization of the created methods
- Understand and shape informative data structures for the storage for scientific computing.
- Propose and develop relevant performance metrics and identify limitations of the models.
- Develop code, test and benchmark frameworks to support research, usually in Python and/or C++
- Interface the data tooling pipeline with the application software environment as well as multiple codebases/repositories
- Write reports and give presentations for internal audiences. Publish papers in top-tier venues
- Work closely with a team of AI researchers and engineers in the US, Switzerland, and Japan on ambitious AI projects
You will have:
- Passion to develop innovative AI technology and deploy it through a multi-stakeholder approach
- Background in Machine Learning (PhD) or Computational Physics and relevant work experience with a track record of developing high-performance scientific software systems.
- 2 or more years of work experience (with programming) after the degree are a plus
- Excellent publication track record in fields such as Machine Learning for optimization, partial differential equations are a plus
- Solid programming skills using Python, as well as frameworks such as PyTorch or TensorFlow
- Practical knowledge of Unix, Linux, Package Management Systems, Databases
- Experience with infrastructure and tooling such as Docker, Kubernetes, CI/CD frameworks, benchmarking platforms, and unit testing is a plus
- Accomplished projects with existing cloud solutions such as AWS, Azure, and Google Cloud are a plus
- Excellent oral and written English
What you can expect from us:
At Sony, we value our people, so on top of a competitive salary, bonus and excellent benefits including discounts on Sony products, you will be supported with your own career development, have access to an extensive range of Learning & Development courses, and some incredible internal mobility opportunities.
Bring your uniqueness to Sony:
We recognize that each and every one of us is original and different. Diversity and inclusion are in our DNA, they drive innovation. We empower our people to achieve one goal: to fill the world with emotion, through the power of creativity and technology.
Equal Opportunity
Sony Europe is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, gender, citizenship, ancestry, age, physical or mental disability, sexual orientation, gender identity, medical condition, or any other protected characteristics.
Disability Accommodation for Applicants to Sony Europe
Sony Europe will provide reasonable accommodation for any qualified individuals with disabilities in the application process. For reasonable accommodation requests, please contact us by email at AccommodationRequest@eu.sony.com or by mail to: Sony Europe B.V, Human Resources Department, the Heights, Brooklands, Surrey, KT13 0XW, UK. When contacting us please indicate the position you are applying for, and the accommodation required.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure CI/CD Docker GCP Google Cloud Kubernetes Linux Machine Learning PhD Physics Python PyTorch Research TensorFlow Testing
Perks/benefits: Career development Competitive pay
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