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    Job details

Job Opportunity: Machine Learning Infrastructure and Simulation - Software Engineer:

Job description:

Job location: Vienna - Austria
income: Highly competitive remuneration subject to qualification
Hours: Full Time
Contract Type: Permanent

Published in: 30th June 2020
Expires: 29th August 2020

 

The Institute of Advanced Research in Artificial Intelligence (IARAI) in Vienna is advancing basic and applied research in Artificial intelligence and is building a unique environment of world class researchers and industrial scale real-world data openly shared with the scientific community.?
The Opportunity
For our Machine Learning Infrastructure team, We are pursuing highly motivated software engineers with interest and demonstrated practice in machine learning, analytics, and big data platforms. We are seeking for candidates that are entrepreneurial, that are highly motivated with their own opinions, and that want to implement pioneering infrastructure for machine learning and help to shape the next generation of machine learning solutions.
This is a senior engineering function where you will need to excel with minimal technical supervision, while playing a variety of functions working with engineering and machine learning researchers. The position is dynamic in nature and involves coding applications, scripting automation, deploying, maintaining components, and visualizing large datasets. The ideal candidate would possess first-hand knowledge of modern infrastructure, deployment tooling, monitoring, centralized logging, cloud environments, as well as on-premise cluster management.?
You need
   » Degree in Computer Science or another technical discipline, research practice, and advanced degrees preferred
   » Ideally 7+ years of practice in a software engineering or data science function with a strong link to research
   » Strong knowledge in computer science fundamentals such as algorithms, scalcapability, data structures, and asynchronous architectures.
   » Solid knowledge of object-oriented and functional programming principles and proven practice in programming languages such as C++, Java, Scala or Go
   » practice in scripting such as Bash, Python, and JavaScript
   » Proven practice in design and implementation of machine learning and predictive algorithms and / or in deeply interfacing with data scientists in scaling and bringing ML into production.
   » Curiosity about the current state of ML / AI and a proven track record of being a problem solver using large data and modern machine learning techniques.
   » Familiarity with common deep learning frameworks and general data analysis frameworks.
   » Demonstrated interest in and knowledge of tools for handling big data.
   » capability to prototype a system end-to-end, comfortable in all aspects
   » Expert knowledge in performance, scalcapability, system architecture and engineering best practices
Of advantage
   » Track record of significant academic publications, patents, and / or open source software contributions
   » practice in developing high-performing ML models, in data- and model-parallelization
   » Interest in high-performance hardware architecture, including GPUs and RDMA
   » practice with CUDA
   » Proven practice delivering production-quality server-side applications in a professional software engineering function
   » practice deploying, maintaining, and troubleshooting in-house and external open-source projects, ideally in the context of data science and research
   » Hands-on practice with Spark, Hadoop, Drill, and other big data infrastructure
   » practice with data driven development
   » practice with Docker, Kubernetes, Elasticsearch, infrastructure monitoring, and other operational responsibilities.
   » knowledge of data security and privacy requirements and techniques
   » practice with geospatial models, analysis, and visualization
   » practice with visualization, simulation, or rendering frameworks (e.g., from game development)
We offer
   » A stimulating multi-national and interdisciplinary open work environment
   » World-class infrastructure, on-premise HPC
   » A chance to work on unique bleeding-edge problems
   » Interaction and exchange with first-class specialists
   » Access to the latest insights from the academic community
   » capability to publish in scientific papers as author or co-author
   » Conferences, workshops, and training
   » Highly competitive remuneration subject to qualification, relocation assistance.

Skills:

Job Category:  [ View All Jobs ]
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Employment type:
Salary: Unspecified
Degree: Unspecified
Experience (year): Unspecified
Job Location: Vienna - Austria, Other Other
Address: Other
Company Type Employer
Post Date: 06/30/2020 / Viewed 1838 times
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