Machine Learning Engineer, Space Sensing and Tracking
You build machine learning models that detect objects in space-based sensor data and associate detections across frames and sensors. You train and test them on simulated scenes, calibrate their confidence and measure them against classical baselines.
Duties
- Build models that detect faint objects in space-based sensor imagery against noise, clutter and background.
- Build models that associate detections of the same object across frames and across sensors.
- Generate simulated scenes with known truth to train models and to test them where real labels are scarce.
- Calibrate model confidence so that stated scores match observed detection and false-alarm rates.
- Compare each model with classical detection and tracking baselines on the same data.
- Measure detection, false-alarm and association performance across conditions, and report where each model fails.
- Work with tracking and estimation engineers to feed model outputs into tracking filters.
What you bring
- 3+ years building machine learning models for imagery or sensor data in Python.
- Experience with object detection and multi-object tracking.
- Experience training models on simulated data and testing them on real data.
- Experience measuring calibration, detection rates and false-alarm rates.
- A degree in computer science, electrical engineering, physics or a related field.
Nice to have
- Experience with infrared or electro-optical sensors.
- Experience with orbital mechanics or sensor geometry.
- Experience with PyTorch.
- Published work on detection or tracking.
Pay and benefits
$124,000 to $201,000 a year
Full-time W-2 employment with health insurance, a retirement plan and paid leave.
No application deadline. We accept applications for this role on an ongoing basis.
Location
Remote, United States
This work involves technical data controlled under U.S. export control laws. Under those laws, U.S. persons include U.S. citizens and nationals, lawful permanent residents, refugees and asylees. For anyone else, an offer may depend on Rillor obtaining an export license.
Apply
We review applications as each team grows and contact you when there is a match.
Rillor is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status or any other status protected by law.
If you need an accommodation to apply, email careers@rillor.com.