WorkGenius Group

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in the Autonomous Vehicle/Tech industry, located in Foster City, CA. The contract lasts approximately 6 months, requiring a Bachelor's in Computer Science, 4+ years of experience, and expertise in Computer Vision, Deep Learning, C++, and Python.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
768
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🗓️ - Date
February 13, 2026
🕒 - Duration
More than 6 months
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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 Mateo, CA
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🧠 - Skills detailed
#Monitoring #Deep Learning #Datasets #Python #Semantic Segmentation #Computer Science #Classification #Model Optimization #ML (Machine Learning) #C++
Role description
Title: Machine Learning Engineer Industry: Autonomous Vehicle/Tech Location: Foster City, CA Duration: ~6 months 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 • Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of the autonomous system Requirements • 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 Skills • Machine Learning • Computer Vision • Deep Learning • C++ • Python • 3D Reconstruction • Data Collection • Model Optimization • Autonomous Systems • Sensor Integration Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius. ref\_id: 2a1cd0d5-5a0f-43b0-969a-0235461b17e0