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Open nowFirst seen 24 hours ago

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

Big Duck Applied Sciences8 open roles

Where
Boulder, Colorado, United States, Remote
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Your applicationOpen nowData Scientist / ML Engineer (Hybrid/Remote Eligible + Internship Eligible)Big Duck Applied Sciences · Boulder, Colorado, United States, Remote

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Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 24 hours ago

The posting

Join BDAS to develop closed-loop AI/ML optimization models that continuously improve telemetry data quality and system performance in real time. 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.

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