Senior AI/ML Engineer (TS/SCI) at Maxar Technologies

Herndon, Virginia, United States

Maxar Technologies Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
National Security, DefenseIndustries

Requirements

  • 8+ years of experience in data science, AI/ML, large language models (LLMs), and/or emerging technologies, including solution architecture, model development, and deployment in complex environments
  • Proficiency in Python, R, and/or Java for machine learning, data processing, and algorithm development, with a strong focus on building robust, scalable solutions for operational field deployment
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn for building and deploying predictive models
  • Proficient in using tools like Jupyter, MLflow, and AWS SageMaker for model development, tracking, and operationalization in production environments
  • Experience working in Linux-based environments and with hybrid infrastructures (on-prem and cloud platforms)
  • Familiarity with deploying, scaling, and maintaining AI/ML solutions in secure, production-grade environments
  • Strong collaboration skills with distributed teams and effective communication with stakeholders across disciplines
  • Ability to work independently in mission-critical settings with evolving priorities
  • Willingness to work onsite 80% or as needs dictate
  • Bachelor's or Advanced degree or equivalent experience in AI/ML (Artificial Intelligence, Machine Learning), Data Science, Math, or like technical fields
  • Active TS/SCI clearance with polygraph and US citizenship

Responsibilities

  • Design, develop, integrate and deploy AI-driven solutions to extract insights from complex, high-volume datasets offering expertise in AI/ML, Large Language Models (LLM), Generative AI, and/or Natural Language Processing (NLP)
  • Apply statistical and deep learning techniques to support predictive modeling, classification, natural language processing, and pattern recognition
  • Collaborate with analysts, engineers, and mission partners to understand requirements and translate them into robust, data-driven solutions
  • Communicate results and technical concepts through effective visualizations, dashboards, and clear reporting to both technical and non-technical audiences

Skills

Python
R
Java
TensorFlow
PyTorch
scikit-learn
Jupyter
MLflow
AWS SageMaker
LLMs
NLP
Generative AI

Maxar Technologies

Earth intelligence and space infrastructure solutions

About Maxar Technologies

Maxar Technologies specializes in Earth intelligence and space infrastructure, providing essential solutions for both government and commercial clients. The company offers services that help clients monitor and understand changes on our planet, including global broadband communications and advanced capabilities for space exploration. Maxar utilizes its extensive experience and commercial technology to deliver solutions that are fast, scalable, and cost-effective. Unlike many competitors, Maxar focuses on delivering precise and reliable data that supports informed decision-making and strategic planning. The company's goal is to generate value through contracts and partnerships, ensuring clients have the information they need to navigate complex global challenges.

Richmond Hill, CanadaHeadquarters
1957Year Founded
$58.1MTotal Funding
IPOCompany Stage
Data & Analytics, Government & Public Sector, AerospaceIndustries
1,001-5,000Employees

Risks

Data breach could lead to reputational damage and legal liabilities.
Layoffs may impact operational efficiency and employee morale.
GPS-free navigation development may face technical challenges and high costs.

Differentiation

Maxar specializes in complete space solutions and geospatial intelligence.
The company leverages decades of mission expertise for high-value solutions.
Maxar offers GPS-free navigation using 3D maps for drones and airplanes.

Upsides

Partnership with Satellogic enhances defense monitoring capabilities.
Divestment of WeatherDesk allows focus on core space infrastructure.
Global availability on SkyWatch platform boosts satellite imagery accessibility.

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