AI Research Scientist- Multimodal Foundational Models at Bosch Group
Sunnyvale, CA
$165,000–$195,000from the description
Jun 30, 2026
Sunnyvale, CA
Jul 21, 2026
What this job asks for AI summary
This research role centers on designing and validating multimodal deep learning models and Time Series Foundation Models that process sensor data — including acoustic, radar, lidar, and vibration signals — to support ADAS and other industrial AI applications. The work spans model architecture, multi-sensor data fusion, and integration of auxiliary modalities like video. It suits a researcher with a strong publication or patent record in signal processing and deep learning who can also contribute to strategic R&D direction.
Senior level · San Jose-Sunnyvale-Santa Clara, CA · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 330 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (data scientists). range 70–500
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $189,150 (middle half $152,859–$224,286). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role sits at the intersection of research science (ML modeling, publications, patents) and software engineering (architecting and implementing deep learning systems), making it a genuine hybrid. Data Scientists (15-2051) was chosen as primary because the posting emphasizes research, modeling, and publication record; Software Developers (15-1252) is the close runner-up given the hands-on system-building responsibilities.
Degree requirement: the JD states 'Ph.D. … OR Masters degree with 2-3 years of preferred professional experience.' Because a Master's is explicitly accepted as a standalone path (with experience), the minimum hard-required degree is set to Masters.
PyTorch Lightning is listed in the Basic Qualifications section with the word 'familiarity,' but it appears within the same required-skills sentence as PyTorch and its libraries, so it is treated as a hard gate. The softer framing is noted here for transparency.
torchaudio, torchvision, and torchmetrics are listed parenthetically as examples of PyTorch libraries in the Basic Qualifications; they are captured as separate required skills because the JD explicitly names them.
The posting lists three office locations (Sunnyvale CA, Pittsburgh PA, Cambridge MA). Sunnyvale is used as the primary CBSA because the AI research group described is explicitly situated in Silicon Valley.
Industrial research experience (3+ years) and product development experience appear under Preferred Qualifications and are not captured as hard-gate skills.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Time Series Foundation Models.
Read the full posting
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