Aquabyte

Aquabyte

Aquabyte Smarter data driven decision making Healthy fish at lower cost. Automatic lice counting, welfare scoring, and biomass control. Information for data driven decision making to increase revenue. Applying machine learning & computer vision to #aqu...

Food Products
11-50
Founded 2017
$50M raised

Description

  • Develop and deploy machine learning models and inference pipelines for image and video data used to estimate fish weight, health, and behavior.
  • Design, build, and maintain end-to-end data pipelines and data management systems for on-site and cloud processing.
  • Perform in-depth data analytics and build statistical inference models of biological processes.
  • Implement software for on-camera and cloud systems, including model integration and runtime performance optimization.
  • Collaborate closely with engineers and cross-functional teammates to integrate models into production systems and customer-facing products.
  • Interact with databases and data infrastructure to support model training, evaluation, and deployment.
  • Follow software engineering best practices, including testing, deployment, and code quality standards.

Requirements

  • BS or MS in a relevant technical degree.
  • 3+ years of experience in data science.
  • Strong coding ability and software engineering skills, including testing and deployment best practices.
  • Proficiency with Python and SQL.
  • Strong data analytics, modeling, and machine learning skills.
  • Experience with data pipeline design and data management.
  • Familiarity with Snowflake, dbt, Airflow, and pandas (preferred).
  • Experience with Docker and cloud software development (e.g., AWS) (preferred).

Benefits

  • Competitive salary ($110,000 - $165,000) and generous equity package.
  • Unlimited vacation policy and flexible working hours.
  • Remote-friendly role (listed as Remote) with potential travel to Norway.
  • Medical, vision, and dental insurance.
  • Retirement matching plan.
  • Mentorship and professional growth opportunities in a fast-paced, early-stage environment.

Interested in this position?

Apply directly on the company website

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