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Applied Scientist - Model Understanding/Differential Privacy, AWS AI/ML

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Germany  Berlin, Germany
Internship, IT/Technology, English
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Job Description:

DESCRIPTION

Interested in machine learning and AI? Can you envision a future where technology is driven primarily by smarter machines?

The mission of AWS AI is to make machine learning easy, fast, and universal across all of our customers. Our world class platform provides the services that runs 85% of all on-cloud machine learning through performance optimizations, machine learning tools, and SDKs to democratize machine learning. Our customers include scientists, data analysts, and ML engineers all building and deploying models through either SageMaker or self-managed instances on EC2/EKS.

If you are passionate about advances in fairness in ML, explainability or privacy-preserving ML, and have a proven track record of bringing innovative research to customers, we would like to talk with you.

As an Applied Scientist in AWS AI, you will be driving many scientific breakthroughs to automate and help our customers build ML applications. The ideal candidate will possess a strong research background in machine learning with an interest in bias mitigation, model model understanding and/or differential privacy. You will be working closely with software engineers so experience with cloud systems is a must. Our customers are deeply technical and the solutions we build for them are strongly coupled to technical feasibility.

The right candidate will have the following responsibilities:
· Understand customer needs and translate those into ML/AI-based solutions
· Develop novel ML solutions that are robust, practical, and scalable which lay the foundation for improvement of existing or the creation of new products
· Contribute to open source software and publish results in academic journals and at conferences
· Partner with engineering teams to transfer viable solutions into products

We at AWS value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve (COMPANY NAME)'s mission of being Earth's most customer-centric company.

BASIC QUALIFICATIONS

· Progress towards or completed PhD degree with specialization Machine Learning/Deep Learning, Algorithms, Mathematics, and related fields
· Experience with machine learning/deep learning frameworks (TensorFlow, PyTorch, MXNet, or similar) and related libraries
· Proven written and verbal communication skills in English
· Publication record at top conferences and in associated journals

PREFERRED QUALIFICATIONS

· PhD degree with specialization in Machine Learning/Deep Learning
· Non-academic experience in a professional setting such as an internship or full time employment position
· Experience with bias mitigation, explainability or differential privacy
· Interest in fairness, model understanding and privacy
· Proven experience partnering with software and engineering teams
· Excellent written and verbal communication skills

(COMPANY NAME) is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build

Source: Company website
Posted on: 12 Jan 2022
Type of job: Internship
Industry: Internet / New Media
Languages: English
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