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Data & AnalyticsHybrid

Senior Machine Learning Engineer, Perception

PlusAI · Hybrid

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Last seen by MeritLog September 11, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from PlusAI's Lever job board and last checked it on September 11, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model
Hybrid
Salary
$150,000 - $250,000
Location
Santa Clara, CA
Occupation
Computer Systems Engineers/Architects(O*NET 15-1299.08)

Hiring context

How this role compares at PlusAI

PlusAI has 39 live roles in MeritLog’s catalog across 5 job families, and 11 of them are in data & analytics. 33 of those listings publish a pay range, a disclosure rate of 85%.

This role's posted range of $150,000 - $250,000 sits above 91% of the 32 other PlusAI roles quoted over the same currency and period.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. We are seeking a highly skilled Machine Learning Engineer with deep expertise in developing Bird’s Eye View (BEV) fusion models using multimodal sensor inputs, particularly LiDAR. You will play a central role in designing scalable perception algorithms that integrate data from camera, LiDAR, and radar sensors to support autonomous driving and 3D scene understanding.

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