Ph.D. in Computer Science, Electrical Engineering, Information Technology, or related field, or a Master's with 2-3 years of experience.
Expertise in Time Series Foundation Models beyond forecasting tasks.
In-depth experience in signal processing for sensor data integrated with deep learning methods.
Proficiency in Python and PyTorch, including relevant libraries.
Strong publication record in top-tier conferences or significant contributions like patents or open-source projects.
Excellent interpersonal, communication, and teamwork skills.
Responsibilities
Develop and lead AI research projects for multi-sensor data to enhance ADAS functionality.
Architect and validate multi-modal deep learning and Timeseries Foundation Models.
Integrate timeseries models with auxiliary modalities like videos and images for better context understanding.
Provide expert insights to management for strategic planning and R&D decisions.
Stay updated on technological innovations and disseminate findings through publications or patents.
Benefits
Premium health coverage.
401(k) with generous matching.
Resources for financial planning and goal setting.
Ample paid time off and parental leave.
Comprehensive life and disability protection.
Full Job Description
Job Description
Job Responsibilites:
Develop and lead research of AI projects that label, predict, classify, cluster, describe and fuse multi-sensor data (including acoustic, telemetry timeseries signals, vibration, radar, lidar, image, Wi-Fi, and ultrasound data), to improve / enable advance driver assistance system (ADAS) functionality in vehicles and AI functionalities in other Bosch products.
Architect, design and validate multi-modal deep learning and Timeseries Foundation Models (TSFM) to work with multivariate time series signals.
Integrate and extend timeseries models to leverage information from other auxiliary modalities such as videos and images to enhance context understanding.
Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.
Stay abreast of the latest technological innovations, document and disseminate research findings through high-caliber publications and/or patent submissions.
Qualifications
Basic Qualifications
Ph.D. in Computer Science, Electrical Engineering, Information Technology or a related discipline OR Masters degree with 2-3 years of preferred professional experience
Expertise with Time Series FMs (beyond the time series task of forecasting)
In-depth experience in signal processing for sensor data and their integration with deep-learning methods
Proficiency in Python, PyTorch (including libraries such as torchaudio, torchvision, torchmetrics), familiarity with PyTorch Lightning
A strong publication record in relevant venues such as ICASSP, NeurIPS, InterSpeech, ICML, ICLR, KDD, ICRA, CVPR, ICCV, ECCV or equivalent contributions to the field such as patents or significant open-source projects
Strong interpersonal, communication, and teamwork capabilities
Preferred Qualifications
3+ years of experience in industrial research
Experience with one or more of the following areas: data-centric AI, synthetic data generation, agentic AI
Proficiency with version control systems (Git), integrated development environment (VSCode or PyCharm) and experience with experiment tracking tools (MLFlow)
Familiarity with high-performance computing systems and job schedulers (Slurm, LSF)
Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets
Experience leading projects with small teams, demonstrating the ability to mentor junior researchers and interns, manage project timelines, and deliver results within time constraints
Additional Information
Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success!
The U.S. base salary range for this full-time position is $165,000 - $ 195,000. 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.
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About Capital Markets Placement
Capital Markets Placement is a financial services company that provides debt and equity financing solutions to businesses. The company specializes in providing funding to small and medium-sized businesses that are looking to grow or expand their operations. Capital Markets Placement offers a range of financing options, including asset-based lending, bridge loans, mezzanine financing, and equity financing. The company has a team of experienced professionals who work closely with clients to understand their needs and provide customized financing solutions. Capital Markets Placement is committed to helping businesses achieve their goals and grow their operations.
