Aquabyte

Machine Learning Engineer

Aquabyte  •  California (Onsite)  •  5 months ago
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Job Description

Aquabyte is seeking a Machine Learning 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 missionAquabyte 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 productWe 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 roleAs a Machine Learning Engineer you will be responsible for developing Machine Learning models and pipelines as well as interacting with databases and data infrastructure. Conducting in-depth data analytics and building statistical data inference models of biological processes. 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.

Required Qualifications

  • BS/MS in relevant technical degree
  • 3+ years of experience with data-science
  • Strong coding ability; strong grasp of Python, SQL
  • Strong data analytics & modeling & ML skills
  • Strong data pipeline and data management skills
  • Strong software engineering skills; knowledge of best practices, testing, and deployment

Bonus Qualifications

  • Familiarity with; snowflake, dbt, airflow, pandas
  • Experience with Docker and cloud SW development (i.e. AWS)

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!
Aquabyte

About Aquabyte

Aquabyte is a leading provider of camera-based monitoring systems for fish farming, both at sea and on land.

The system leverages AI and machine learning to deliver real-time data for fish farmers while reducing the amount of physical handling of the fish. We provide data on fish weight and growth, together with welfare indicators such as skin health and fin damage. Lice-counting through Aquabyte systems enables the farmers to better monitor lice, and take preemptive measures when needed, thus reducing the total impact of lice treatments.

The newly launched Behaviour module in our systems provides insight on swim speed and swim tilt of the fish as well as breathing index. These elements can serve as early indicators for issues in the pen, as they inform the farmer of behaviour deviating from normal fish behaviour. Such early identification of potential challenges are especially important for closed or submerged production environments.

With Aquabyte systems in the pen - fish farmers get valuable insights that enable better decision-making, improved fish health, increased efficiency, and more sustainable operations.

Industry
IT & Software
Company Size
51-200 employees
Headquarters
Laksevåg, NO
Year Founded
2017
Website
aquabyte.ai
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