Data Scientist / ML Engineer (Hybrid/Remote Eligible + Internship Eligible)

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

Data Scientist / ML Engineer (Hybrid/Remote Eligible + Internship Eligible)

Job Openings Data Scientist / ML Engineer (Hybrid/Remote Eligible + Internship Eligible)

About the job Data Scientist / ML Engineer (Hybrid/Remote Eligible + Internship Eligible)

Join BDAS to develop closed-loop AI/ML optimization models that continuously improve telemetry data quality and system performance in realtime. You'll work directly with live sensor data (g-force, acceleration, location, temperature) as part of IDDMF's enrichment layer.

Location: Boulder, CO (Hybrid/Remote-eligible)

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

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: experience with sensor data, telemetry, or defense/aerospace domains

Internship Opportunity: An internship track is also available for this role. A completed degree is not required for internship candidates — current students and early-career applicants with relevant coursework, projects, or experience are encouraged to apply and to note their interest in the internship in their application.