AI Research Scientist
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Job Location:
Pittsburgh, PA - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
As a part of the global research our AI research in Pittsburgh focuses on Multimodal Foundation Models AI-based 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 AI-based 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 in-house AI innovations and 3rd-party solutions to Bosch AI products and services building systems that can advance manufacturing energy solutions AI-based 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 high-caliber 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
- In-depth experiences in foundation models with work in at least two of the following areas: time-series 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
- Hands-on experience in product development in the above-mentioned 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 :
Full-time
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
About Company
Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more
