🐠📹🎞️ Senior AI/Computer Vision Engineer - Video (Remote)🌺🌋⛵️

Senior Machine Learning Engineer, Video Computer Vision Engineer, Machine Learning Engineer, ML Engineer, ML, Deep Learning Engineer, Computer Vision Engineer, Artificial Intelligence Engineer, Machine Learning, Video Processing, Image Processing, Computer Vision, Python, Deep Learning, AI, Marine Life, Sustainability, Remote Work, Hawaiian Culture, Tech For Good, Career Growth, Work Life Balance

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🚀 Role Overview

  • Job Summary Video: https://youtu.be/6pxOqAYI5_g
  • We are: Pioneers in applying computer vision for real-world problems in the New Blue Economy.
  • Projects: Object detection, tracking, occlusion handling, classification, and segmentation; algorithm training with annotations; performance optimization (cloud and low-powered hardware); experimentation with out-of-distribution detection methods.
  • Culture: Globally Distributed Team, Fun, Sustainability Startup, Blue Economy.
  • Position: Senior Machine Learning Engineer specializing in Video and Image Processing.
  • Passion: A desire to innovate in the field of sustainability.
  • Impact: Develop computer vision solutions that enhance the sustainability of marine ecosystems.

🌊 Experience.pt

+++ Must Have:

  • USA: USA work rights & physically located in the United States.
  • Education: Bachelor’s Degree in Computer Science or similar, Master’s preferred.
  • Experience: Minimum 4 years in video/image computer vision development.
  • Deep Learning: Proficiency in PyTorch or TensorFlow.
  • Python Expertise: +4 years of experience or more.
  • Computer Vision Skills: Strong knowledge in object detection, tracking, occlusion handling, classification, and segmentation.
  • Performance Optimization: On cloud and low-powered hardware
  • Project Leadership: Demonstrated success in leading ML projects from concept to reality.

 

++ Good to Have:

  • Implementation and Deployment: +1 year of experience in deploying AI solutions at the edge. Microsoft Azure Cloud, APIs and web-based applications.
  • Problem-Solving: Exceptional ability to navigate and solve complex AI challenges.
  • Communication: Excellent communication skills for interacting with team members and presenting results.
  • Cooperation: Especially with MLOps Engineer (Microsoft Azure Cloud, APIs and web-based applications).

 

+ Nice to Have:

  • Proposal: Research grant experience.
  • Location: Ideally based in Hawaii, Pacific, Mountain or Central time zones.

🌺 Benefits.h5

  • Remote Work: The flexibility of a 100% remote job, open to those with the right to work from the USA. Candidates willing to relocate to Hawaii are welcomed, though it’s not mandatory.
  • Salary: A competitive package of $120,000 – $160,000 USD/year, depending on experience.
  • Environment: A globally distributed team with a passion for creative solutions to complex problems.
  • Impact: Direct contribution to marine ecosystem conservation.
  • Health Plans: Competitive health and dental insurance options.
  • Paid Time Off: Flexible, balancing hard work with downtime.
  • Flexible Schedule: We value work-life balance and provide scheduling flexibility within reason.
  • Relocation Assistance: For the right candidate, we’re willing to help you get where you need to be.

🐠 About us

  • Innovation in Conservation: Utilizing computer vision and machine learning for marine sustainability.
  • Established Expertise: Transforming fisheries management and ecological science since 2019.
  • Expansion and Growth: Developing new products and expanding into broader AI applications and markets.
  • Engineering Vision: Seeking engineers to advance our mission and technology.

📹 Application Process

  • Submit Your CV
  • If selected: there is only 1 interview stage.
  • 1 Interview Stage Only [1+1h]:
    • Book 2 interview slot: at your convenience for a live discussion, available morning, mid-day, evening, Monday to Saturday.
    • Initial Questions: Work rights, job situation, willingness to move, and remote work preferences.
    • CV Walkthrough: Detail your experience and skills.
    • Personality Insight: Your personal attributes and professional motivations.
    • Project Presentation: Showcase your capabilities through a past project.
    • CS Theory and Coding Tasks: Demonstrate your technical knowledge and problem-solving skills.
    • Hobby (NOT compulsory): As a bonus, you can add a hobby video, but it is not compulsory. For example: walking your dog, playing with your cat, doing some sports, etc.
  • If you are chosen: We will contact you via: A.) E-mail, B.) Job Platform Message
  • Enjoy your job!