Computer Vision Engineer

3 weeks ago

San Francisco, California, United States Unreal Gigs Full time
Job Title: Computer Vision Engineer

At Unreal Gigs, we're pushing the boundaries of computer vision innovation. As a Computer Vision Engineer, you'll play a crucial role in developing and deploying state-of-the-art computer vision algorithms and systems.

Key Responsibilities:
  • Algorithm Development: Design, implement, and optimize computer vision algorithms for object detection, image classification, segmentation, and tracking.
  • Model Training and Evaluation: Train computer vision models using large-scale datasets, evaluating model performance and refining approaches to achieve state-of-the-art results.
  • Model Deployment: Architect scalable and reliable computer vision pipelines for production environments, collaborating with DevOps engineers for seamless integration and monitoring.
  • Data Processing: Develop data pipelines to ingest, preprocess, and augment image and video data for training and evaluation, ensuring data quality and integrity.
  • Performance Optimization: Optimize computer vision models and systems for speed, efficiency, and scalability, leveraging techniques like parallel processing and hardware acceleration.
  • Cross-Functional Collaboration: Collaborate with data scientists, software engineers, and product managers to define requirements, prioritize tasks, and deliver solutions that meet business objectives.
  • Documentation and Reporting: Prepare documentation and technical reports to communicate model designs, implementation details, and performance metrics to stakeholders.
Qualifications:
  • Bachelor's degree or higher in Computer Science, Electrical Engineering, or related field.
  • Strong background in computer vision, with hands-on experience in developing and deploying computer vision algorithms and models in production environments.
  • Proficiency in programming languages like Python, TensorFlow, PyTorch, or OpenCV, with experience in data manipulation and analysis.
  • Familiarity with computer vision concepts and techniques, including CNNs, feature extraction, and image processing.
  • Experience with deep learning frameworks and libraries, and proficiency in using GPUs for model training and inference.
  • Strong problem-solving abilities and analytical thinking, with a keen attention to detail and a passion for tackling complex technical challenges.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
Benefits:
  • Competitive salary: The industry standard salary for Computer Vision Engineers typically ranges from $150,000 to $230,000 per year, depending on experience and qualifications.
  • Comprehensive health, dental, and vision insurance plans.
  • Flexible work hours and remote work options.
  • Generous vacation and paid time off.
  • Professional development opportunities, including access to training programs, conferences, and workshops.
  • State-of-the-art technology environment with access to cutting-edge tools and resources.
  • Vibrant and inclusive company culture with team-building activities and social events.
  • Opportunities for career growth and advancement within the company.
  • Exciting projects with real-world impact across diverse industries.
  • Chance to work alongside top talent and industry experts in the field of computer vision.

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