Machine Learning Engineer (Automotive Domain )(W2 GCs or USC Required)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with automotive domain experience, based in Los Altos, California. It offers a 3+ month hybrid contract at a competitive pay rate. Key skills include PyTorch, Python, and ML engineering expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 17, 2025
🕒 - Project duration
3 to 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Los Altos, CA
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🧠 - Skills detailed
#Documentation #ML (Machine Learning) #Data Pipeline #PyTorch #AI (Artificial Intelligence) #Cloud #Python #Unit Testing
Role description
Job Title: Machine Learning Engineer (Automotive domain exp requied)
Location: Los Altos, California, United States (Hybrid work for 1 Day office and 4 days WFH)
Duration: 3+ Months Contract (CTH high possible to convert)
1. Automotive experience is the highest priority
1. Must be able to speak to hands on experience with PyTorch
1. 4+ years of professional ML engineering experience at an AI/ML-focused organization.
1. Familiarity with the state-of-the-art in behavior learning, language, and/or computer vision.
1. Experience training large-scale foundation models (VLMs, text-to-video models, etc) utilizing distributed training and high-performance optimization techniques such as quantization, mixed precision, model parallelism, data parallelism or FSDP.
1. Strong proficiency in Python and software development best practices such as unit testing, documentation, code review, continuous integration, and dependency management.
1. Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management.
1. An ability to move fast and switch between modes of rapid prototyping and robust implementation as required.
Job Title: Machine Learning Engineer (Automotive domain exp requied)
Location: Los Altos, California, United States (Hybrid work for 1 Day office and 4 days WFH)
Duration: 3+ Months Contract (CTH high possible to convert)
1. Automotive experience is the highest priority
1. Must be able to speak to hands on experience with PyTorch
1. 4+ years of professional ML engineering experience at an AI/ML-focused organization.
1. Familiarity with the state-of-the-art in behavior learning, language, and/or computer vision.
1. Experience training large-scale foundation models (VLMs, text-to-video models, etc) utilizing distributed training and high-performance optimization techniques such as quantization, mixed precision, model parallelism, data parallelism or FSDP.
1. Strong proficiency in Python and software development best practices such as unit testing, documentation, code review, continuous integration, and dependency management.
1. Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management.
1. An ability to move fast and switch between modes of rapid prototyping and robust implementation as required.
