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Data Scientist, Aws Lablet
vor 3 Wochen
Bachelor or Master of science (or equivalent experience) in Computer Science, Math, Statistics or equivalent hands on experience
- 5+ years experience in a general purpose programming language: C/C++, Python, etc
- Excellent problem solving ability
- Excellent capacity for working in a cross-functional team
- Written and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiences
Job summary
Are you passionate about solving real-world challenges using cutting-edge artificial intelligence (AI) and machine learning (ML) technology? Would you like to work with some of the best scientists in the field to transition new AI/ML technologies from the research stage into products?
As a Data Scientist in our Lablet, you will be working on cutting edge projects in the intersection of computer vision, graphs, fairness, and causal inference. You will be part of an ambitious team of scientists and software engineers with the goal of solving customer problems at scale. You and your team will work backwards from customer problems, and collaborate with other AWS service teams to develop proof of concepts and transition promising new technology into products.
The AWS Lablet is a new research department focused on broad research initiatives with a strategic relevance to AWS and Amazon. It is located at the AWS Tubingen site in Germany. The team is lead by recognized researchers in the field of AI/ML, Amazon Scholars such as Bernhard Schoelkopf, Alex Smola, Bernt Schiele, and Thomas Brox.
As a Data Scientist in the AWS Lablet, you will work backwards from real-world customer problems and prototype, develop and productionize innovative ML techniques to help add business value. You will build tools that accelerate development cycles and facilitate maintenance. You will stay up to date with the state-of-the-art ML research and continuously experiment with new techniques in order to keep pushing the boundaries of what is possible. You will advise scientists on architecture, design and technical choices, and promote engineering excellence within the research team.
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 Amazon's mission of being Earth's most customer-centric company.
About the team
The AWS Lablet team and its scientific head Bernhard Schoelkopf are located at the Tubingen site in Germany.
Lablets
We decided to start Lablets in a meeting with AWS leadership in late 2018 in order to address two needs: (1) tackle hard AI science problems that do not have an immediate product impact yet may present big opportunities for our business in the future, and (2) display AI leadership by top publications visible to AWS customers whose choice of cloud platform is influenced by perceived AI strength as a way to futureproof their choice. We did so with the expectation that (1) and (2) will both require and enable us to attract talent that significantly raises the bar in terms of AI strength.
Lablets provide the environment that top AI/ML talent expects while avoiding the trap of a large centralized research lab. By co-locating with outstanding academic ML centers, they enable the type of transformational work and academic visibility that top scientists deliver without copying large industrial research labs that try to build critical academic mass in a less frugal manner, often have limited impact or get academically stale over time once the influx of new top talent stops.
Lablets attract top ML talent and enable some of our strongest scientists to do long-term science projects. We aspire to couple the possibility to have real-world customer impact, where Amazon excels, with the academic reputation of Google Brain/Deepmind/FAIR. We recruit scientists who are free in their research within the (well chosen) fields for which we recruit them. We seek to attract and empower scientists who want to shape the ongoing AI revolution. For those scientists, customer impact is a strong benefit.
Lablets Solution Lab
To further strengthen the transition mechanism over the next two years, we will equip our lablets with LSL (Lablets Solution Lab) teams. We will staff each of these teams with 2-3 AS/MLE/DS and a PMT. Each LSL team is close to its Lablet’s research activities and deeply understands its potential. Its mission is to work closely with customer-facing organizations like SA, MLSL, PMs from other organizations, and customer teams to propose and prototype solutions to customer problems, leveraging Lablets research. To deliver on its mission, the LSL team acts like a specialized ML Solutions Lab (MLSL) to develop small PoCs with representative customers, mainly with internal customers. In addition, the LSL team is responsible for producing PRFAQs with the goal of starting tech
