Real-Time ML Engineer — Sensor Data (Hybrid/Remote)

Big Duck Applied Sciences; Boulder (CO); Hybrid; USD 100,000 - 140,000; Full time

Job summary

Big Duck Applied Sciences in Boulder, CO is seeking a Data Scientist / ML Engineer to design and train real-time ML models that improve telemetry data quality and system performance. The role is hybrid with remote-eligible options and includes an internship track.

You will work with live sensor data (g-force, acceleration, location, temperature), build closed-loop feedback systems, and collaborate with software engineers to productionize models in automated pipelines.

Qualifications

• Bachelor's or Master's in Data Science, Computer Science, Statistics, or related field.
• Experience with Python-based ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Familiarity with real-time/streaming data systems.
• Bonus: sensor data, telemetry, or defense/aerospace domains.

Responsibilities

• Design and train ML models for real-time data quality and performance optimization.
• Build closed-loop feedback systems that adapt based on live data.
• Analyze multi-sensor telemetry data for fusion and monitoring applications.
• Collaborate with software engineers to integrate models into production pipelines.

Skills

Python

ML modeling

Real-time data processing

Collaboration

Education

BS/MS in DS/CS/Stats

Tools

PyTorch

TensorFlow

scikit-learn

Streaming data systems

Job description

Big Duck Applied Sciences in Boulder, CO is seeking a Data Scientist / ML Engineer to design and train real-time ML models that improve telemetry data quality and system performance. The role is hybrid with remote-eligible options and includes an internship track.

You will work with live sensor data (g-force, acceleration, location, temperature), build closed-loop feedback systems, and collaborate with software engineers to productionize models in automated pipelines.