AI Research Scientist
AI Research Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
As a part of the global research our AI research in Pittsburgh focuses on Multimodal Foundation Models AIbased Sensing Driving assistance agentic AI and efficient GenAI. We develop scalable intelligent and trustworthy AI solutions for Bosch products and services in application areas such as advanced manufacturing smart home and building solutions advanced driver assistance systems (ADAS) robust AI systems and AIbased simulators.
Originating from Bosch AI research in Pittsburgh we are responsible for pushing the boundaries of multimodal foundation models and GenAI through key innovations to solve complex industry problems and shape the future of Bosch products and services for both internal and external users. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as ICML ICLR ICRA CVPR ICCV ECCV NeurIPS etc.)
- Conduct research on multimodal foundation models agentic AI robustness and efficient GenAI to address academic and industrial challenges.
- Work with an international team of experts to transfer and apply Bosch inhouse AI innovations and 3rdparty solutions to Bosch AI products and services building systems that can advance manufacturing energy solutions AIbased sensing driving assistance etc.
- Stay abreast of the latest technological innovations and market trends by attending academic conferences technical events and seminars.
- Offer expert insights to the management team in relevant technology sectors aiding in strategic planning R&D trajectory and investment decisions.
Document and disseminate research findings through highcaliber publications and/or patent submissions.
Qualifications :
Basic Qualifications
- Ph.D. in Computer Science or Engineering or a related discipline or masters degree with 3 years industry experience (multimodal foundation model related) after graduation.
- 4 years of research experience or equivalent graduate research experience on multimodal foundation models agentic AI robust and efficient GenAI
- Indepth experiences in foundation models with work in at least two of the following areas: timeseries data analysis LLMs VLMs/MMLMs inference efficiency deployment of large models robustness
- Proficiency in one or more programming languages commonly used in systems research (e.g. Python C) and hands on experience with AI libraries.
- Publication record in top venues including ICML ICLR ICRA CVPR ICCV ECCV NeurIPS etc.
- Strong interpersonal communication and teamwork capabilities.
Preferred Qualifications
- Strong background in math statistics computational modeling
- 3 years experiences in industrial research
- Handson experience in product development in the abovementioned areas for consumer/enterprise markets.
- Experience in leading R&D project & team dealing with international customers.
- Leadership skills with excellent English communication & teamwork skills.
Additional Information :
Equal Opportunity Employer including disability / veterans.
Please note that employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
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Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
