AI/ML Engineer for Space Surveillance — Flexible Schedule

Saic

Chantilly (VA)

On-site

USD 160,000 - 200,000

Full time

9 days ago

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Benefits offered by this job

401(k) match
Discounted employee stock purchase计划

Job summary

SAIC seeks an AI/ML Engineer to support Government satellite programs in Earth orbit analyses. You will use Python, C++, and MATLAB to develop new tools, perform EDA, and design ML algorithms for recognition and tracking of satellites.

Collaborate with astrodynamics, sensors, and AI/ML experts to simulate operations at scale, with opportunities to present findings to senior government customers. Expect a challenging on-site role in Northern Virginia.

Qualifications

  • Education in CS, data science, applied math or related field.
  • Experience in astrodynamics or satellite-related analyses.
  • Programming in Python, C++, MATLAB; TS/SCI clearance or ability to obtain.

Responsibilities

  • Conduct Exploratory Data Analysis to identify patterns for feature engineering.
  • Design, develop, and evaluate ML algorithms (supervised, unsupervised, RL).
  • Build, train, and tune predictive models using state-of-the-art tools.
  • Collaborate with cross-functional teams to translate problems into AI/ML solutions.
  • Implement and optimize algorithms for anomaly detection, prediction, classification, and NLP.
  • Deploy ML models into production and establish scalable pipelines.
  • Analyze model performance and iterate with testing strategies and hyperparameter tuning.

Skills

Python
C++
MATLAB
Astrodynamics
EDA
ML algorithms

Education

Bachelor's degree in Computer Science or Data Science or Applied Math
Master's degree
PhD

Job description

SAIC seeks an AI/ML Engineer to support Government satellite programs in Earth orbit analyses. You will use Python, C++, and MATLAB to develop new tools, perform EDA, and design ML algorithms for recognition and tracking of satellites.

Collaborate with astrodynamics, sensors, and AI/ML experts to simulate operations at scale, with opportunities to present findings to senior government customers. Expect a challenging on-site role in Northern Virginia.

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