Senior Machine Learning Engineer

Role

Senior Machine Learning Engineer

Location

San Diego, CA (in-office)

Salary Range

$180,000 - $250,000 / yr + stock options, 401k matching, and other benefits

Role Overview

Seasats' vehicles operate in highly remote and often communications-limited environments. To complete persistent missions at scale, the vehicles must be able to perceive and reason about the world around them without humans in the loop. Seasats has built a reliable and increasingly intelligent autonomy stack incorporating onboard sensors and processing, and machine learning is becoming central to how it evolves.

In this role, you'll own the development, training, and edge deployment of the perception models at the heart of that stack. You'll take models from experiment to production: curating fleet data, training and distilling models, optimizing them for embedded hardware, and validating them against real-world maritime conditions. Your work will directly determine how safely and intelligently our vessels navigate dynamic ocean environments.

Role Details

As a senior member of the team, you'll help set the technical direction for onboard ML at Seasats and raise the bar for how models are built, evaluated, and shipped across the company. You'll work independently on experiments while collaborating closely with the vehicle software team to integrate your work into the larger stack.

On a day-by-day basis, you will

• Help define and drive the ML roadmap for vehicle perception
• Scope and run ML experiments with clearly measurable end states that would positively impact vehicle performance if successful
• Train, fine-tune, and optimize models sized for compute-limited edge hardware, and validate real-time performance on target hardware
• Build and maintain the data pipeline: analyzing, organizing, and labeling datasets from our fleet to drive data-driven development
• Establish evaluation frameworks and metrics that give the team con