Professional Resume Template for
Computer Vision Engineer
Elena R. Sterling
Seattle, WA
(206) 555-0143
elena.sterling@email.com
linkedin.com/in/elena-sterling | github.com/elenasterling | elenasterling.dev
Professional Summary
Pragmatic Computer Vision Engineer with a 5-year track record of designing, training, and deploying deep learning models for real-time object detection and spatial mapping. Expertise includes optimizing inference latency on embedded GPU architectures, implementing MLOps pipelines, and training custom convolutional neural networks (CNNs) and vision transformers (ViTs). Successfully reduced model inference latency by 34% using TensorRT quantization and improved detection accuracy by 15% on edge devices. Proficient with PyTorch, OpenCV, CUDA, TensorRT, Docker, and AWS SageMaker.
Work Experience
Computer Vision Engineer — Aether Vision Systems
Seattle, WA | June 2023 – Present
- Engineered and deployed a real-time object detection system using YOLOv8 on NVIDIA Jetson devices, reducing latency by 38% while maintaining a 94.2% mean Average Precision (mAP).
- Optimized PyTorch model architectures via PyTorch TensorRT quantization (FP16/INT8), decreasing edge inference energy consumption by 24%.
- Designed automated MLOps pipelines using AWS SageMaker and Docker to process 2.5 million daily images, accelerating model retraining cycles by 40%.
- Developed custom dataset curation tools that filtered out 15% of redundant frames, reducing data labeling costs by $45,000 annually.
Machine Learning Engineer — Spectra Autonomous Systems
San Francisco, CA | July 2021 – May 2023
- Built an automated video segmentation pipeline using PyTorch and OpenCV for autonomous navigation, improving classification accuracy by 11%.
- Fine-tuned deep learning models on a cluster of 32 GPUs, reducing training time from 72 hours to 48 hours via distributed training.
- Implemented robust regression models for spatial depth estimation, reducing distance calculation error rate by 18%.
- Collaborated with product teams to integrate computer vision APIs into 3 core products, increasing user engagement by 14% across 85,000 active devices.
Education
Bachelor of Science in Computer Science
Cascade Institute of Technology · Seattle, WA · 2021
Skills
PyTorch, TensorFlow, OpenCV, CUDA, TensorRT, Python, C++, Docker, Kubernetes, AWS SageMaker, Git, MLOps, Image segmentation, Object detection, Vision Transformers (ViTs), CNNs, Supervised learning
Projects
Real-Time Edge Segmentation Engine
Role: Lead CV Engineer
Tools: PyTorch, OpenCV, TensorRT, Jetson Orin
Optimized a semantic segmentation network for autonomous warehouse robots, reducing processing latency from 65ms to 32ms and enabling obstacle detection at 30 FPS.
Synthetic Data Generation Pipeline
Role: Machine Learning Engineer
Tools: Stable Diffusion, Blender, Python, Docker
Built a synthetic image generation tool that created 120,000 photorealistic training samples, boosting model generalizability and reducing physical dataset collection time by 5 weeks.
Certifications
- Google Cloud Certified Professional Machine Learning Engineer (2024)
- NVIDIA Deep Learning Institute - Edge AI on Jetson (2022)
Additional information
- Languages: English (Native), German (Conversational)
- Volunteer Work: Technical mentor for high school robotics teams at local community centers (2022-present)
- Availability: 2 weeks notice
Job Market Insights
Market data and opportunities for
Computer Vision Engineer
Job Market Insights
$120,000
-
$175,000
Avg:
$148,000
Growth Outlook:
The demand for Computer Vision and Machine Learning Engineers is experiencing high growth in the United States, driven by advancements in autonomous systems, robotics, medical diagnostics, and spatial computing. As visual data continues to expand, industries require engineers who can build, optimize, and deploy intelligent visual models onto edge and cloud devices. Employment for related occupations like computer and information research scientists is projected to grow by 22% over the next decade.
22% growth over 10 years
Key Skills Required
Focus on these skills when customizing your resume for recruiter screenings.
Search Jobs
Explore live openings for
Computer Vision Engineer
roles and tailor your resume to match the market demand.
Search
Computer Vision Engineer
FAQ
Common questions about the
Computer Vision Engineer
position