Why This Job is Featured on The SaaS Jobs
This Computer Vision Engineer role stands out in the SaaS ecosystem because it sits at the intersection of subscription software and real-world, sensor-driven operations. Aquabyte’s product spans edge capture, cloud processing, and a web application, which is a common pattern in modern SaaS businesses that deliver measurable outcomes rather than purely digital workflows. That blend creates a different set of engineering constraints than typical web-first SaaS, including reliability, latency, and deployment considerations tied to customer environments.
For a long-term SaaS career, the work builds durable experience in taking ML from experimentation into production systems. Developing inference pipelines, improving on-camera intelligence, and integrating cloud components maps closely to how SaaS companies operationalise AI features at scale. The emphasis on software engineering practices, testing, and deployment also translates well to other SaaS teams where model quality must be paired with maintainability and observability.
The role is best suited to engineers who enjoy owning the full lifecycle of applied computer vision, from model training to runtime optimisation. It also fits professionals who prefer cross-functional collaboration across hardware-adjacent and cloud teams, and who are motivated by product impact that can be measured in operational decision-making rather than purely engagement metrics.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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 creating the computer vision software pipelines to improve the intelligence and efficiency of our camera system. This role is on the AI team where we develop image and video inference pipelines to estimate the weight, health and behavior of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.
\n
Required Qualifications
- 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 Qualifications
- 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
- 3D data processing skills (voxelmap generation / reasoning)
- Experience with Docker and cloud SW development (i.e. AWS)
- Basic database interaction; knowledge of SQL
Benefits
- Competitive salary and equity
- Unlimited vacation policy
- Flexible working hours + hybrid work policy
- 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
\n
$130,000 - $170,000 a year
Aquabyte takes a market-based approach to compensation. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location.
\n
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!
