AI Research Scientist, Multimodal Foundational Models

Bosch

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $165,000–$195,000 / yr
Posted: 14 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $226k

This role $180k

$151k $291k

below market most similar roles pay here above market

This role pays less than 83% of similar roles. Most pay $196,562–$254,750 — the blue band above. At the midpoint, this role pays about $180k versus about $226k for comparable roles.

Based on 240 similar postings.

Employer

About Bosch

Bosch is a global engineering and technology company supplying mobility solutions, industrial technology, consumer goods, and energy and building technology; Robert Bosch LLC is its North American arm.

Bosch currently has 75 open roles on FindRole.

Listed pay typically runs $165,000–$185,000 across 33 roles with salary data.

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At a glance

TL;DR · AI Research Scientist, Multimodal Foundational Models

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The AI Research Scientist- Multimodal Foundational Models joins the Foundation Model Powered AI Enablers group to advance industrial AI experiences. You will lead research projects to label, predict, classify, cluster, describe, and fuse multi-sensor data, including acoustic, telemetry timeseries, vibration, radar, lidar, image, Wi-Fi, and ultrasound data. Key responsibilities include architecting and validating multi-modal deep learning and Timeseries Foundation Models to improve advanced driver assistance system functionality and other product features. You will integrate timeseries models with auxiliary modalities like video and images to enhance context understanding. Required skills include expertise in Time Series FMs, signal processing, and Python with PyTorch, including torchaudio, torchvision, and torchmetrics. You will also utilize Git, MLFlow, and high-performance computing systems like Slurm or LSF.

Skills

Python PyTorch PyTorch Lightning MLFlow Git Slurm LSF Time-series Analysis Natural Language Processing Computer Vision Deep Learning Signal Processing Data Science Synthetic Data Generation Agentic AI High-Performance Computing VSCode PyCharm

What you'll do

Lead research on AI projects to label, predict, and fuse multi-sensor data for ADAS and other Bosch products.
Architect, design, and validate multi-modal deep learning and Timeseries Foundation Models (TSFM).
Integrate timeseries models with auxiliary modalities like video and images to enhance context understanding.
Provide expert technical insights to management for strategic planning and R&D investment decisions.
Document and disseminate research findings through high-caliber publications and patent submissions.
Stay updated on the latest technological innovations in AI and signal processing.

What we're looking for

Ph.D. in Computer Science, Electrical Engineering, Information Technology, or a related discipline.
Master's degree with 2-3 years of preferred professional experience.
Expertise with Time Series Foundation Models beyond the forecasting task.
In-depth experience in signal processing for sensor data and integration with deep-learning methods.
Proficiency in Python, PyTorch (including torchaudio, torchvision, torchmetrics), and familiarity with PyTorch Lightning.
Strong publication record in relevant venues or significant contributions such as patents or open-source projects.
3+ years of experience in industrial research (preferred).
Experience with data-centric AI, synthetic data generation, agentic AI, version control, HPC systems, or leading small teams (preferred).

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