Gardner Resources Consulting, LLC
Senior Machine Learning Engineer, Perception R&D
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer in Perception R&D, requiring 5+ years in computer vision and deep learning, strong Python and PyTorch skills, and experience with modern architectures. Hybrid work location; competitive pay rate.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Boston, MA
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🧠 - Skills detailed
#ML (Machine Learning) #GCP (Google Cloud Platform) #Docker #"ETL (Extract #Transform #Load)" #PyTorch #Transformers #Cloud #R #AWS (Amazon Web Services) #Python #AI (Artificial Intelligence) #Supervised Learning #Deep Learning
Role description
Senior Machine Learning Engineer, Perception R&D (Hybrid)
• 5+ years in computer vision and deep learning, focused on applied research or advanced R&D
• Hands-on with modern architectures (ViT/Transformers, self-supervised learning, vision-language models, zero-shot detection)
• Strong Python and PyTorch expertise
• Experience tackling real-world perception challenges (occlusion, lighting, reflective surfaces); sound judgment on model vs. heuristic tradeoffs
• Experience with model distillation and quantization
• Able to clearly communicate AI concepts and performance tradeoffs to engineering and product partners
• Familiar with Docker, cloud platforms (AWS/GCP), and experiment tracking tools
Senior Machine Learning Engineer, Perception R&D (Hybrid)
• 5+ years in computer vision and deep learning, focused on applied research or advanced R&D
• Hands-on with modern architectures (ViT/Transformers, self-supervised learning, vision-language models, zero-shot detection)
• Strong Python and PyTorch expertise
• Experience tackling real-world perception challenges (occlusion, lighting, reflective surfaces); sound judgment on model vs. heuristic tradeoffs
• Experience with model distillation and quantization
• Able to clearly communicate AI concepts and performance tradeoffs to engineering and product partners
• Familiar with Docker, cloud platforms (AWS/GCP), and experiment tracking tools
