AI Research Scientist- Multimodal Foundational Models

Bosch Group

$165K — $195K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in Computer Science, Electrical Engineering, Information Technology or related discipline OR Masters with 2-3 years of experience
  • Expertise with Time Series Foundation Models beyond forecasting
  • In-depth experience in signal processing for sensor data and integration with deep-learning methods
  • Proficiency in Python and PyTorch, knowledgeable in libraries like torchaudio and torchvision
  • Strong publication record in leading conferences or significant contributions including patents or open-source projects
  • Excellent interpersonal and teamwork skills.

Responsibilities

  • Develop and lead AI research projects to enhance ADAS functionality using multi-sensor data
  • Architect and validate multi-modal deep learning models for multivariate time series signals
  • Integrate and extend timeseries models with auxiliary modalities for better context understanding
  • Provide expert insights to the management team for strategic planning and R&D direction
  • Stay updated on technological innovations and publish research findings in reputable venues.

Benefits

  • Premium health coverage
  • 401(k) with generous matching
  • Resources for financial planning and goal setting
  • Ample paid time off
  • 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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