Senior AI Research Scientist, Time-Series Foundational Models

Bosch

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $165,000–$195,000 / yr
Posted: 29 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 $212k

This role $180k

$153k most similar roles pay here $274k

This role pays less than 69% of similar roles. Most pay $175,000–$249,162 — the shaded band above. At the midpoint, this role pays about $180k versus about $212k 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 34 open roles on FindRole.

Listed pay typically runs $165,000–$185,000 across 16 roles with salary data.

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At a glance

TL;DR · Senior AI Research Scientist, Time-Series Foundational Models

Role Posting Log in to save

The Senior AI Research Scientist- Time-Series 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, vibration, radar, lidar, image, Wi-Fi, and ultrasound data. Key responsibilities include architecting and validating multi-modal deep learning and Timeseries Foundation Models for multivariate signals, while integrating auxiliary modalities like video to enhance context understanding. You will utilize Python, PyTorch, and PyTorch Lightning to solve complex problems in automated driving, robotics, and smart manufacturing. The role requires expertise in signal processing, data-centric AI, and synthetic data generation to improve advanced driver assistance systems and other Bosch products through high-caliber research and publication.

Skills

Python PyTorch PyTorch Lightning MLFlow Git Slurm LSF Signal Processing Deep Learning Time-series Analysis Natural Language Processing Computer Vision 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 for multivariate signals.
Integrate timeseries models with auxiliary modalities like video and images to improve context understanding.
Provide expert technical insights to management to guide 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 task of forecasting.
In-depth experience in signal processing for sensor data and integration with deep-learning methods.
Proficiency in Python and PyTorch, including torchaudio, torchvision, torchmetrics, and PyTorch Lightning.
Strong publication record in relevant venues, patents, or significant open-source projects.
3+ years of experience in industrial research (preferred).
Experience with data-centric AI, synthetic data generation, agentic AI, or high-performance computing (preferred).

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