Research Manager – Multimodal AI
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Job Location:
Pittsburgh, PA - USA
Monthly Salary:
Not Disclosed
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
We are looking for a research manager (group leader) to lead a high-impact industrial AI research team working at the intersection of cutting-edge machine learning and signal processing to build multimodal sensing AI solutions (foundation models/GenAI for multimodal signals such as radar ultrasonic IMU audio vibration RF signals among others) and enable cross-domain business applications ranging from automotive consumer products to manufacturing and healthcare. The key responsibilities for this position are:
Technical & Research Leadership
- Work together with lab director/leadership team to define and execute the research vision and roadmap for multimodal sensor foundation models generative AI for temporal and spatial signals and advanced signal processingML hybrids
- Ensure research outcomes meet both scientific excellence and product relevance
- Lead R&D portfolio involving machine learning on heterogeneous sensors (e.g. radar audio RF IMU vision industrial sensors) including representation learning self-supervised learning and multimodal fusion to improve sensing and perception capabilities in a wide range of applications from automated vehicles intelligent consumer products to manufacturing & industrial automation
- Advance generative and probabilistic models for signals including simulation synthesis forecasting anomaly detection and inverse problems
- Maintain a team culture of scientific/technical excellence as evidenced by high impact IPs and/or publications in top AI conferences and journals (e.g. NeurIPS ICLR ICML CVPR ICASSP)
- Collaborate with academic partners (e.g. CMU) and represent the group in the broader research community
Productization & Commercialization
- Foster entrepreneurial research establish rigorous SW engineering practices towards translating research into production-ready artifacts
- Live by ROI mindset: mapping R&D targets to product roadmap and potential market opportunities
- Partner closely with product engineering and business teams to deploy AI at scale
- Balance long-term research with near- and mid-term business impact
- Support technology transfer IP generation and patent strategy
People & Team Leadership
- Lead mentor and grow a team of PhD-level researchers and senior engineers
- Manage budget/resources and secure team competency demands from internal stakeholders
- Foster a culture of scientific rigor collaboration inclusion and execution excellence
- Recruit top research and engineering talent globally
- Provide technical and career mentorship to team members
Qualifications :
Required Qualifications
- PhD (or equivalent research experience) in Computer Science Electrical Engineering Applied Mathematics Statistics specializing Machine Learning Signal processing or a related field
- 5 years of experience in AI research and development with demonstrated commercialization or product deployment of ML systems
- 3 years of orior team leadership or management experience leading engineers and/or researchers in a corporate research environment
- Strong background in machine learning for signals such as:
- Multimodal learning and sensor fusion
- High-frequency signal modeling and representation learning
- Signal processing combined with deep learning
- Self-supervised foundation or generative models
- Proven track record of peer-reviewed publications in top ML and/or signal processing venues
- Strong communication skills and the ability to influence across research engineering and business stakeholders
Preferred Qualifications
- Experience building and deploying foundation models or large-scale representation learning systems for sensor data in automotive/industrial settings
- Exposure to automotive industrial manufacturing robotics or consumer tech. sensing AI applications
- Experience with real-time embedded or edge AI systems
- Track record of patents or technology transfer in an industrial setting
- Experience managing cross-site or cross-disciplinary teams
Additional Information :
Equal Opportunity Employer including disability / veterans
*Bosch adheres to Federal State and Local laws regarding drug-testing. 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.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Quantitative Research
- Spss
- Clinical Research
- Data Collection
- Clinical Trials
- Research Experience
- Statistical Software
- Survey Design
- Qualitative Research
- Market Research
- Research & Development
- Project Coordination
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
