Research Scientist -- Machine Learning and Signal Processing for Multimodal Perception

Company Description

The Bosch Group operates in most countries in the world. With over 400,000 associates, a career at Bosch offers a chance to grow an exceptional career in an environment that values diversity, initiative and a drive for results. The “Intelligent IoT” group at Bosch Research Pittsburgh works at the convergence of Machine Learning/AI and IoT for enabling intelligent products and services across various business domains such as smart homes/buildings, future mobility solutions as well as Industry 4.0. On a broader level, our research involves advanced perception and reasoning capabilities using emerging sensing technologies, multimodal representation learning, and cross-modal knowledge distillation. We also have strong collaborations/partnerships with top-tier universities and research institutions such as CMU, Caltech, NASA-JPL, UNC 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

• Bring together technical insights and knowledge from the latest machine learning/deep learning research and classical signal processing to build novel solutions for  spatiotemporal context awareness
• Leverage emerging sensing technologies to perform multi-signal representation learning, cross-modal knowledge distillation, multimodal fusion, and development of novel multimodal AI foundation models
• Drive deep learning algorithm development, implementation and evaluation pipeline on large scale public datasets as well as those from Bosch business units
• Generate patents and transfer R&D results/prototypes to global Bosch business units
• Publish original research contributions in top-tier machine learning and/or signal processing conferences and journals
• Supervision of Master and PhD students
• Actively pursue research collaborations with top-tier US universities

Qualifications

Basic Qualifications

• PhD in Electrical Engineering, Computer Science, Applied Mathematics/Statistics or related fields
• In-depth understanding of signal processing and machine learning methods
• Strong background in applying AI-based techniques in multimodal sensing and deep signal analytics in embedded systems
• Experience working with latest AI technologies e.g. CLIP, LLMs and other multimodal foundation models
• 2+ years programming experience, in particular Python
• 2+ years experience in development and implementation of deep learning technologies

Preferred Qualifications

• Experience with deep learning frameworks
• Broad knowledge of machine learning algorithms and principles
• Broad knowledge of signal processing, information theory and control systems  
• Established publication records 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 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 $130,000 - $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.