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Lead Research Engineer: Deep Learning & Collective Intelligence

Job Description

With over 1800 researchers, Corporate Technology (CT) (www.ct.siemens.com) occupies a special position within Siemens' R&D facilities. It functions as an international network of expertise and as a global partner for technology and innovations. Through its R&D activities in Germany, USA, China, India, Russia, Japan and Eastern Europe, Corporate Technology helps secure the company's technological future and bolster its competitiveness.

Who are we?
Our Research Group (Collective Intelligence Systems) is part of Business Analytics and Monitoring (BAM) Technology Field of CT Research in Digitalization and Automation. Headquartered in Munich, we are a passionate community of around 220+ researchers, data scientists and architects distributed across the globe. We strive to solve complex problems in various domains ranging from Manufacturing, Infrastructure, Energy, Mobility and Buildings to Smart cities by applying methods and principles of data analytics and artificial intelligence. 

Here is your role. What part will you play?

o As a Lead Research Engineer, can you move beyond theoretical models and build innovative, practical, and robust real-world solutions for Computer Vision and Optimization based applications in smart mobility, intelligent infrastructure, and autonomous systems?
o Can you develop strategic concepts and engage in technical business development to address new markets with our business units, using video-analytics and reinforcement learning based technologies? 
o Do you find it exciting to dive deep into an ocean of data and solve challenges associated with transforming and enriching such large complex datasets?
o Can you demonstrate outstanding ability to drive innovation and research in the form of patents and publishing papers at top-tier conferences/journals?

We don’t need superheroes, just super minds.

o PhD/Master’s degree in Computer Science and from a reputed institute with grass-root experience of at least 4 years in solving complex problems and driving actionable insights.
o Hands-on experience with one or more of the following is a must:

o Minimum 4 years of experience working on Deep Learning/AI in computer vision &/ optimization problems with a clear understanding and ability to implement algorithms (especially deep learning algorithms)
o Solid hands-on experience in training deep convolutional and/or recurrent networks using frameworks like Tensorflow, Caffe and PyTorch
o Hands-on experience using OpenCV and OpenGL
o Research, develop and prototype software technologies related to object detection, tracking, semantic segmentation, action recognition, 3D reconstruction, SLAM and photometric stereo
o Optimization techniques and model compression for deployment on resource-constrained hardware/edge devices
o Excited to collaborate with team members from idea generation, prototyping through production, present developed solutions and recommendations to business partners, and influence future technology roadmap and strategy of the portfolio
o Have rich experience in understanding and influencing technology choices and building solutions to remove obstacles towards adoption.
o Closely follow latest developments in artificial intelligence and be an early adopter of disruptive trends/technologies
o Extremely energetic and willing to walk the extra mile for achieving targets and be an active AI evangelist within and outside Siemens.

Make your mark in our exciting world at Siemens.

We’re Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and imagination to us shape the tomorrow.

Find out more about department at: website department and about Siemens careers at: www.siemens.com/careers

Organization: Technology

Company: Siemens Technology and Services Private Limited

Experience Level: Experienced Professional

Job Type: Full-time

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