Deep Learning Engineer
Pittsburgh, PA, United States
Applications have closed
Bosch Group
Moving stories and inspiring interviews. Experience the meaning of "invented for life" by Bosch completely new. Visit our international website.Company Description
The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Venture Capital, Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.
The “Intelligent IoT” group at Bosch Research Pittsburgh works at the convergence of Artificial Intelligence and IoT for enabling intelligent products and services across various business domains such as smart buildings, mobility solutions as well as Industry 4.0. Beyond these terrestrial applications, our work has also found its way to the International Space Station (ISS) where we are actively pursuing cutting-edge robotics & autonomous sensing research in Zero-G. On a more fundamental level, our research group focuses on the interplay between machine learning and advanced signal processing techniques towards building robust, data-centric AI solutions. We have strong collaborations with top-tier universities and research institutions such as CMU, Caltech, NASA and NYU to name a few. These collaborations enable our team members to drive independent, cutting-edge research activities aligned with our long-term vision.
Job Description
- Support development of robust multimodal AI capabilities leveraging machine learning and advanced signal processing techniques (particular emphasis on audio analytics)
- Contribute to deep learning algorithm development, implementation and evaluation pipeline on large-scale public datasets as well as those from Bosch business units
- Support intellectual property generation and lead transfer of R&D results/prototypes to global Bosch business units
- Participate in original research publications with fellow team members in top-tier machine learning and/or signal processing conferences and journals
- Support supervision of Master and PhD student interns
Responsibilities
- Create, manage, and adapt data-intensive deep learning pipelines in collaboration with researchers and other engineers
- Manage large-scale deep learning experiments, hyperparameters search, continuous training and evaluation of deep learning models
- Maintenance of research codebase in PyTorch and Tensorflow/Keras
- Administration and management of GPU cluster for research purposes
Qualifications
Minimum Qualifications
- PhD in Electrical Engineering, Computer Science, or related fields (degree conferred date no later than Spring 2023)
- 2+ years programming experience for deep learning applications (Tensorflow, Keras, PyTorch)
Preferred Qualifications
- Experience in setup and optimization of deep learning pipelines on large datasets
- Experience in management of large-scale experiments and tools for experiments tracking and hyperparameters optimization
- Familiarity with Linux systems administration and management, particularly related to GPU clusters management and deep learning workflow
Additional Information
BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives
- FIRST Robotics (For Inspiration and Recognition of Science and Technology)
- AWIM (A World In Motion)
By choice, we are committed to a diverse workforce – EOE/Protected Veteran/Disabled.
For more information on our culture and benefits, please visit:
Tags: Circuit Design Computer Science Deep Learning Engineering GPU Human Machine Interaction Keras Linux Machine Learning Mathematics PhD Pipelines PyTorch R R&D Research Robotics STEM TensorFlow
Perks/benefits: Career development Conferences Team events
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