Research Scientist - Machine Learning and Signal Processing for Multimodal Perception

Company Description

The Bosch Group operates in most countries globally. With over 400,000 associates, a career at Bosch offers an opportunity to develop an exceptional career in an environment that appreciates diversity, initiative, and a results-driven approach. The Bosch Research Pittsburgh's "Intelligent IoT" group works at the convergence of Machine Learning/AI and IoT for facilitating intelligent products and services across various business domains like smart homes/buildings, future mobility solutions, and Industry 4.0. More specifically, our research includes advanced perception and reasoning abilities using emerging sensing technologies, multimodal representation learning, and cross-modal knowledge distillation. We maintain strong collaborations/partnerships with top-tier universities and research institutions, such as CMU, Caltech, NASA-JPL, UNC, and NYU. These collaborations allow our team to conduct independent, groundbreaking research activities aligned with our long-term vision.

Job Description

• Combine technical insights and knowledge from the latest machine learning/deep learning research and classical signal processing to create novel solutions for spatiotemporal context awareness.
• Utilize emerging sensing technologies to perform multi-signal representation learning, cross-modal knowledge distillation, multimodal fusion, and create novel multimodal AI foundation models.
• Lead deep learning algorithm development, execution, and evaluation pipeline on large scale public datasets and those from Bosch business units.
• Generate patents and transfer R&D results/prototypes to global Bosch business units.
• Publish original research papers in top-tier machine learning and/or signal processing conferences and journals.
• Supervise Master's and PhD students.
• Actively pursue research collaborations with top US universities.

Qualifications

Basic Qualifications

• PhD in Electrical Engineering, Computer Science, Applied Mathematics/Statistics or related fields.
• Deep understanding of signal processing and machine learning techniques.
• Strong background in applying AI-based methodologies in multimodal sensing and deep signal analytics in embedded systems.
• Experience with the latest AI technologies such as CLIP, LLMs, and other multimodal foundation models.
• At least 2 years of programming experience, particularly in Python.
• At least 2 years of experience in the development and implementation of deep learning technologies.

Preferred Qualifications

• Experience with deep learning frameworks.
• Comprehensive knowledge of machine learning algorithms and principles.
• In-depth knowledge of signal processing, information theory, and control systems.
• Previous publications in leading venues (ICLR, AAAI, CVPR, ICCV, ICASSP, NeurIPS, SenSys, IPSN, MobiSys, MobiCom, IMWUT, IROS).

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 devoted to a diverse workforce – EOE/Protected Veteran/Disabled.

For more information on our culture and benefits, please visit:

The U.S. base range for this full-time position is $130,000 - $150,000. Individual pay within this range is determined by several factors, including, but not limited to, work experience, job knowledge, complexity of the role, job location, etc. More details about the specific salary range can be discussed 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; a 401(K) retirement plan with an appealing employer match; wellness programs; life insurance; short and long-term disability insurance; paid time off; parental leave, adoption assistance; and education expenses reimbursement. Learn more about our full benefits offerings by visiting: . The pay ranges included in the postings generally reflect base salary; certain positions may also include bonus, commission, or additional benefits.