What are the responsibilities and job description for the Machine Learning Engineer position at Aquabyte?
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 QualificationsBS/MS in relevant technical degree3 years of experience with data-scienceStrong coding ability; strong grasp of Python, SQLStrong data analytics & modeling & ML skillsStrong data pipeline and data management skillsStrong software engineering skills; knowledge of best practices, testing, and deploymentBonus QualificationsFamiliarity with; snowflake, dbt, airflow, pandasExperience with Docker and cloud SW development (i.e. AWS)BenefitsCompetitive salaries and generous equityUnlimited vacation policyFlexible working hoursMedical, vision, & dental insuranceRetirement matching planPotential travel to NorwayEvolve in a fast-paced environmentBe able to shape a business in its early daysGet ideas, feedback, and suggestions from other best-in-their-field colleaguesMentorship opportunities, we'll be dedicated to investing in you and supporting you as you growAquabyte takes a market-based approach to salary and equity. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location.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! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Salary : $140,000 - $200,000