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Machine Learning Engineer - Perception Computer Vision

An Autonomous Mobility Company
Foster City, CA

Quick Apply

Job Details

Full-time | Contract
$106.50 an hour

Benefits

Commuter assistance
Disability insurance
Health insurance
401(k)
Flexible spending account
Life insurance

Qualifications

AI models
GPU programming
Computer Science
Machine vision systems
Big data
Classification (ML)
Mid-level
Image recognition
Classification analysis
Production systems
C++
Bachelor's degree
Model deployment
Computer vision research
Object detection
Computer Engineering
Improving predictive model accuracy
System development
Model training
System deployment
Data collection
Robot vision
Image classification
4 years
Cross-functional collaboration
Bachelor's degree in computer science
Model evaluation
Communication skills
Sensors
Python

Full Job Description

HireArt 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.
Bachelor’s degree in computer science, computer engineering, or a related field with 4+ years of relevant experience
Strong background in modern computer vision and machine learning, including 3D reconstruction, detection, classification, and semantic segmentation
Experience training and deploying deep learning models in production or research environments
Proficiency in C++ and/or Python
Strong communication skills and ability to collaborate across technical teams

Bonus Qualifications:

Experience in the self-driving or robotics industry
Experience deploying ML models in latency-sensitive or real-time systems
Experience with CUDA or GPU-accelerated model development

Benefits:

Pre-tax commuter benefits
Employer (HireArt) Subsidized healthcare benefits (eligibility begins on the first of the month following 60 days of service)
Flexible Spending Account for healthcare-related costs
HireArt covers all costs for short and long-term disability and life insurance
401k package

Commitment: This is a full-time, ongoing contract position staffed via HireArt. It will be hybrid (requiring at least three days on-site) and available to candidates who are local to the Foster City, CA area.

HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp.

Quick Apply

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