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Machine Learning Software Engineer at Capital Bancorp | JobVerse
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Machine Learning Software Engineer
Capital Bancorp
Remote
Website
LinkedIn
Machine Learning Software Engineer
United States
Full Time
2 hours ago
No H1B
Apply Now
Key skills
Python
PyTorch
Tensorflow
C++
C
AI
Machine Learning
ML
Deep Learning
Computer Vision
TensorFlow
About this role
Role Overview
Design, develop, and optimize computer vision models for real-time applications on embedded systems
Implement model compression techniques such as quantization, pruning, and knowledge distillation to improve performance on low-power hardware
Deploy machine learning models on embedded platforms, including ARM, NVIDIA Jetson, Qualcomm, or custom ASICs
Write clean, efficient, and well-documented code in Python and C++, leveraging ML frameworks like TensorFlow, PyTorch, and ONNX
Develop and fine-tune SLAM, object detection, tracking, and feature extraction models for high efficiency
Collaborate with cross-functional teams to integrate ML models into production systems, optimizing for latency, accuracy, and power consumption
Benchmark and profile ML models to identify and implement optimizations for inference on embedded hardware
Research and apply cutting-edge ML techniques to improve real-time performance in resource-constrained environments
Requirements
Master’s or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, or a related field
5+ years of experience in machine learning, deep learning, and computer vision
Extensive experience in designing and deploying optimized deep learning models for real-world applications
Proficiency in TensorFlow, PyTorch, ONNX, TensorRT, and other ML frameworks
Strong experience with model quantization, pruning, knowledge distillation, and hardware acceleration techniques
Solid programming skills in Python and C++, with a strong understanding of software optimization
Familiarity with embedded platforms such as NVIDIA Jetson, Raspberry Pi, ARM Cortex, Qualcomm AI accelerators, or specialized AI chips
Experience with hardware-aware model optimization to maximize inference speed and minimize memory footprint
Strong problem-solving skills and ability to work independently on complex technical challenges
Tech Stack
Python
PyTorch
Tensorflow
Benefits
Top-tier health, dental, vision, short-/long-term disability, and life insurance, with full employee coverage and partial coverage for dependents
Flexible/reasonable vacation and sick leave
401(k) plans, FSA, HSA, and commuter benefits
Apply Now
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