Comrise
Comrise

Machine Learning Engineer - Perception Computer Vision

Foster City, CA, US • Posted 15 days ago • Updated 6 days ago
Contract W2
Occasional Travel Required
On-site
$106.50/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Machine Learning Engineer - Perception Computer Vision

Summary

Job description
Client is helping our client find Machine Learning Engineers, Perception Computer Vision, to develop advanced computer vision systems that enhance in-vehicle perception, directly impacting safety and fleet efficiency across the company's robotic platform.
In this role, you'll contribute across the full machine learning lifecycle, from data collection and dataset development to model design, training, deployment, and validation, working closely with large-scale real-world sensor data.
The ideal candidate is technically strong in modern computer vision, comfortable working with large datasets, and motivated by building safety-critical perception systems.

As a Machine Learning Engineer - Perception Computer Vision, you'll:
  • Design and develop in-cabin computer vision models for safety-critical perception and monitoring applications.
  • Implement advanced perception model architectures and training techniques.
  • Build high-quality datasets using multimodal sensor inputs and large-scale fleet data.
  • Train, validate, and optimize deep learning models using real-world driving scenarios.
  • Evaluate model performance and robustness to ensure reliability in production environments.
  • Collaborate cross-functionally to integrate perception models into the broader autonomous system.
Daily tasks
Responsibilities: Design and develop in-cabin Computer Vision ML modules for safety critical perception and monitoring applications Implement Perception model architectures and sophisticated training techniques Build high quality datasets leveraging all the inputs from our sensor stack and the overall large scale data we have at company. Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of company's autonomous system
Required skills
Qualifications: Bachelor's Degree in Computer Science and/or Computer Engineering with 4+ years of experience Modern Computer Vision and Machine Learning background, specifically on 3D reconstruction, detection, classification, semantic segmentation Experience with training and deploying Deep Learning models Background in C++ and/or python Excellent communication skills Bonus Qualifications: Experience with any of the following: Self-driving industry experience Experience delivering ML model integration in latency-sensitive systems Experience with CUDA code
Business driver of role
The Perception team is looking for a machine learning engineer to develop cutting-edge Computer Vision modules to enhance on-board perception of company's robots fleet, directly impacting safety and fleet efficiency. In this role, the ideal candidate will work on the full design and development cycle, including data collection, data set creation, machine learning models design and implementation.
Work schedule
Standard Hours At least 3 days on-site in Foster City
Interview process
30-minute manager Zoom 1.5 hour panel interview
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: comrise
  • Position Id: 2026-27123
  • Posted 15 days ago
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