Senior Machine Learning Engineer

Senior Machine Learning Engineer - Perception R&D Hybrid Contract C2C

GC, USC

Need Linkedin of 2 Active referrences Python, PyTorch, computer vision, deep learning (ViT/Transformers, self-supervised, vision-language models, zero-shot detection), model distillation/quantization, Docker, cloud (AWS/GCP), experiment tracking, and strong communication of AI concepts. Job Description We are seeking a Senior Machine Learning Engineer (Perception R&D) to join an advanced research and development team focused on building state-of-the-art perception systems. This role is ideal for a hands-on engineer with strong experience in computer vision and deep learning , who enjoys solving complex real-world problems and translating research into production-ready solutions. The ideal candidate will work on modern vision architectures, explore emerging techniques, and collaborate closely with engineering and product teams to deliver high-impact AI-driven capabilities. Responsibilities Design, develop, and optimize deep learning models for perception and computer vision tasks Conduct applied research and advanced R&D using modern architectures such as Vision Transformers (ViT), Transformers, vision-language models, and self-supervised learning Tackle real-world perception challenges including occlusion, lighting variations, and reflective surfaces Evaluate tradeoffs between machine learning models and heuristic-based approaches Implement model distillation, quantization, and optimization for efficient deployment Train, fine-tune, and evaluate models using PyTorch and Python Collaborate with cross-functional teams to integrate models into production pipelines Communicate technical concepts, model performance, and tradeoffs clearly to engineering and product stakeholders Required Qualifications 5+ years of experience in computer vision and deep learning (applied research or advanced R&D) Strong proficiency in Python and PyTorch Experience with modern deep learning architectures (ViT/Transformers, self-supervised learning, vision-language models, zero-shot detection) Proven ability to solve complex perception problems in real-world environments Strong problem-solving and analytical skills Preferred Qualifications Experience with model distillation and quantization Familiarity with Docker and containerized workflows Experience with cloud platforms such as AWS or GCP Familiarity with experiment tracking tools (e.g., MLflow, Weights & Biases) Background in deploying ML models to production 3B Staffing LLC