Missions completed for defense, science, and commercial customers around the world. Backed by Techstars.
About the role
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.
What they're looking for
- 7+ years in machine learning, including 5+ years solving perception problems in production systems
- Deep computer vision background, including foundation models and training smaller custom models
- Track record of shipping performant ML models to edge devices and hands-on experience with model optimization for the edge (quantization, pruning, and inference runtimes such as TensorRT or ONNX Runtime)
- Strong proficiency in Python, with expert-level fluency in PyTorch and strong working knowledge of OpenCV
- Experience with MLOps tooling for dataset versioning, experiment tracking, and model deployment
- Experience working with real-time sensor data (e.g., camera, radar, and IMU streams) and familiarity with classical perception techniques (e.g., filtering, tracking, sensor fusion
More about this role
Role: Senior Machine Learning Engineer
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.
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...
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