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Computer Vision Engineer

73% Flex
Full Remote
Full time
Mid-level (2-5 years)
150 - 230 K yearly
  • Remote from:United States
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Computer Vision Engineer

73% Flex
Remote: Full Remote
Contract: Full time
Salary: 150 - 230K yearly
Experience: Mid-level (2-5 years)
Work from: United States...

Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field, Strong background in developing and deploying computer vision algorithms, Proficiency in Python, TensorFlow, PyTorch, or OpenCV.

Key responsabilities:

  • Design, optimize computer vision algorithms
  • Train models using large datasets, optimize performance
  • Collaborate with teams, define requirements, deliver solutions, prepare documentation
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Unreal Gigs

Startup

https://www.unrealstaffing.com/

2 - 10 Employees

Job description

Logo Jobgether

Your missions

Company Overview: Welcome to the forefront of computer vision innovation! At our company, we're pioneering the next generation of computer vision technologies to revolutionize how machines perceive and interact with the visual world. Our mission is to develop cutting-edge solutions that push the boundaries of what's possible in computer vision and drive real-world impact across industries. Join us and be part of a dynamic team dedicated to shaping the future of visual intelligence.

Position Overview: As a Computer Vision Engineer, you'll play a crucial role in developing and deploying state-of-the-art computer vision algorithms and systems. Working closely with a talented team of researchers, engineers, and domain experts, you'll tackle challenging problems and deliver innovative solutions that make a real impact. If you're passionate about computer vision technology and eager to push the boundaries of what's possible, we want you on our team.

Requirements

Key Responsibilities:

    1. Algorithm Development: Design, implement, and optimize computer vision algorithms for a wide range of applications, including object detection, image classification, segmentation, and tracking.
    2. Model Training and Evaluation: Train computer vision models using large-scale datasets, evaluating model performance and iteratively refining approaches to achieve state-of-the-art results.
    3. Model Deployment: Architect scalable and reliable computer vision pipelines for deployment in production environments, collaborating with DevOps engineers to ensure seamless integration and monitoring.
    4. Data Processing: Develop data pipelines to ingest, preprocess, and augment image and video data for training and evaluation, ensuring data quality and integrity throughout the data lifecycle.
    5. Performance Optimization: Optimize computer vision models and systems for speed, efficiency, and scalability, leveraging techniques such as parallel processing and hardware acceleration.
    6. Cross-Functional Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define requirements, prioritize tasks, and deliver solutions that meet business objectives.
    7. Documentation and Reporting: Prepare documentation and technical reports to communicate model designs, implementation details, and performance metrics to stakeholders, ensuring transparency and reproducibility.

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 such as Python, TensorFlow, PyTorch, or OpenCV, with experience in data manipulation and analysis.
    • Familiarity with computer vision concepts and techniques, including convolutional neural networks (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. Exceptional candidates may be eligible for higher compensation packages.
    • 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.

    Join Us: Ready to shape the future of computer vision? Apply now to join our team and be part of an exciting journey of innovation and discovery!

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    Experience

    Level of experience :
    Mid-level (2-5 years)
    Industry :
    Spoken language(s)
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    Hard Skills

    Soft Skills

    • Strong problem-solving and analytical thinking
    • Excellent communication and collaboration skills

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