InfoStride
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer focused on Computer Vision, based in Foster City, CA, with a contract length of "unknown." The position offers a pay rate of "unknown," requiring 4+ years of experience, proficiency in C++/Python, and a background in autonomous vehicles preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#Datasets #C++ #Semantic Segmentation #Object Detection #ML (Machine Learning) #Monitoring #Classification #Computer Science #Deep Learning #Deployment #Python
Role description
Machine Learning Engineer – Perception (Computer Vision)
Location: Foster City, CA (Onsite – Minimum 3 Days per Week)
Company: Zoox
About the Role
The Perception team at Zoox is seeking a highly skilled Machine Learning Engineer to develop cutting-edge Computer Vision modules that enhance onboard perception for our autonomous robot fleet. This role directly impacts vehicle safety, reliability, and operational efficiency.
You will contribute across the full development lifecycle — from data collection and dataset creation to model design, implementation, validation, and deployment in real-world driving environments.
Key Responsibilities
• Design and develop in-cabin Computer Vision machine learning modules for safety-critical perception and monitoring applications.
• Architect and implement advanced perception models using state-of-the-art deep learning techniques.
• Build and curate high-quality datasets leveraging multi-modal sensor inputs and large-scale driving data.
• Develop and apply sophisticated training strategies to improve model robustness and accuracy.
• Validate, optimize, and deploy solutions using real-world driving scenarios.
• Collaborate cross-functionally to integrate perception systems into latency-sensitive production environments.
Required Qualifications
• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
• 4+ years of professional experience in machine learning or computer vision.
• Strong background in modern Computer Vision and Machine Learning, including:
• 3D reconstruction
• Object detection and classification
• Semantic segmentation
• Experience training and deploying deep learning models in production environments.
• Proficiency in C++ and/or Python.
• Strong communication and collaboration skills.
Preferred (Bonus) Qualifications
• Experience in the self-driving or autonomous vehicle industry.
• Experience integrating ML models into real-time, latency-sensitive systems.
• Hands-on experience with CUDA and GPU optimization.
• Familiarity with large-scale perception datasets and sensor fusion.
Machine Learning Engineer – Perception (Computer Vision)
Location: Foster City, CA (Onsite – Minimum 3 Days per Week)
Company: Zoox
About the Role
The Perception team at Zoox is seeking a highly skilled Machine Learning Engineer to develop cutting-edge Computer Vision modules that enhance onboard perception for our autonomous robot fleet. This role directly impacts vehicle safety, reliability, and operational efficiency.
You will contribute across the full development lifecycle — from data collection and dataset creation to model design, implementation, validation, and deployment in real-world driving environments.
Key Responsibilities
• Design and develop in-cabin Computer Vision machine learning modules for safety-critical perception and monitoring applications.
• Architect and implement advanced perception models using state-of-the-art deep learning techniques.
• Build and curate high-quality datasets leveraging multi-modal sensor inputs and large-scale driving data.
• Develop and apply sophisticated training strategies to improve model robustness and accuracy.
• Validate, optimize, and deploy solutions using real-world driving scenarios.
• Collaborate cross-functionally to integrate perception systems into latency-sensitive production environments.
Required Qualifications
• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
• 4+ years of professional experience in machine learning or computer vision.
• Strong background in modern Computer Vision and Machine Learning, including:
• 3D reconstruction
• Object detection and classification
• Semantic segmentation
• Experience training and deploying deep learning models in production environments.
• Proficiency in C++ and/or Python.
• Strong communication and collaboration skills.
Preferred (Bonus) Qualifications
• Experience in the self-driving or autonomous vehicle industry.
• Experience integrating ML models into real-time, latency-sensitive systems.
• Hands-on experience with CUDA and GPU optimization.
• Familiarity with large-scale perception datasets and sensor fusion.
