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Computer Vision Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Panama, Pennsylvania (USA), United States

Offer summary

Qualifications:

BS/MS in relevant technical degree, 3+ years of experience with computer vision software, Strong coding ability in Python, Experience with stereo vision and deep learning.

Key responsabilities:

Develop software and machine learning models
Improve the intelligence of the camera system

Aquabyte Startup https://aquabyte.ai/

11 - 50 Employees

See more Aquabyte offers

Job description

Aquabyte is seeking a Computer Vision Engineer to help develop and deploy new algorithms to fish farms across the world. You’ll be responsible for software and machine learning model development of our on-camera and cloud software.

Our mission

Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.

We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.

Our product

We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.

Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.

The role

As a Computer Vision Engineer you will be responsible for doing the software and machine learning model development to improve the intelligence and efficiency of our camera system. This role is on the AI team where we focus on developing so on understanding the weight and health of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.

Job Requirements

BS/MS in relevant technical degree

3+ years of experience with building computer vision software

Strong coding ability; strong grasp of Python

Experience with stereo vision, 3D reconstruction, and stereo calibration

Experience with training neural networks / deep learning (ideally pytorch)

Bonus Requirements

Experience optimizing model inference for real-time inference on limited resources

Strong software engineering skills; knowledge of best practices, testing, and deployment

Experience deploying models to NVIDIA Jetson boards or similar resource constrained environments

Experience with Docker and cloud SW development (i.e. AWS)

Basic database interaction; knowledge of SQL

Benefits

Competitive salaries and generous equity

Unlimited vacation policy

Flexible working hours

Medical, vision, & dental insurance

Retirement matching plan

Potential travel to Norway

Evolve in a fast-paced environment

Be able to shape a business in its early days

Get ideas, feedback, and suggestions from other best-in-their-field colleagues

Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow

Aquabyte is a private company headquartered in San Francisco, and is supported by NEA, Costanoa Ventures, and many other respected investors.

At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don’t satisfy all the requirements, and we will get back to you as soon as possible!