Deep Learning Engineer

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:

Culture and Benefits | Bosch in the USA

The U.S. base salary range for this full-time position is $120,000 - $150,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process.

In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; short and long term disability insurance; paid time off; parental leave, adoption assistance; and reimbursement of education expenses. Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome. Pay ranges included in the postings generally reflect base salary; certain positions may include bonus, commission, or additional benefits.