Artificial Intelligence/Machine Learning Engineer (AI/ML)

Location: Chantilly, VA

Clearance: Must be able to obtain TS/SCI with polygraph; minimum of TS/SCI required

Schedule: Full-time, on-site core collaboration hours from 10 am to 3 pm with options to work nine or eight days out of every two weeks

About the role

SAIC is seeking an AI/ML Engineer to join a team conducting analyses in support of Government satellite programs in Earth orbits. Areas of work may include:

• Recognizing different types of satellites based on observations using optical and radar sensors
• Scheduling space surveillance sensors to collaboratively find, recognize, and track maneuvering satellites
• Deciding what activities satellites should undertake

Satellite designers and operations planners will leverage your analyses to inform critical decisions. As part of an agile team including experts in astrodynamics, sensors, and AI/ML, you will collaboratively simulate operations concepts at-scale with support from cloud computing and supercomputing specialists. You can expect regular opportunities to meet with and optionally present findings to local senior government customers.

Responsibilities

• Use programming languages such as Python, C++, or others to leverage existing analysis tools and develop new ones
• Conduct independent trade studies and technical assessments
• Review and validate algorithms and results provided by external teams
• Develop and optionally present actionable technical briefings
• Conduct Exploratory Data Analysis (EDA) to identify patterns for feature engineering
• Design, develop, and evaluate machine learning algorithms, including supervised, unsupervised, and reinforcement learning
• Build, train, and tune predictive models using state-of-the-art frameworks and tools
• Collaborate with cross-functional teams to identify challenges, define problems, and translate them into actionable AI/ML solutions
• Implement and optimize algorithms for tasks such as anomaly detection, prediction, classification, optimization, clustering, and natural language processing
• Deploy machine learning models into production environments and establish pipelines for scalability and monitoring
• Analyze model performance and identify opportunities for improvement by leveraging testing strategies and tuning hyperparameters

Requirements

• Degree in Computer Science, Data Science, Applied Math, or a related technical field
• Minimum professional experience: Bachelor’s plus two years, Master’s plus zero years, or PhD plus zero years
• Experience with astrodynamics
• Programming experience in Python, C++, MATLAB, or similar

Benefits

• Company 401(k) match
• Discounted employee stock purchase plan
• Flexible schedule
• Access to mentoring by experts in AI/ML and other fields
• Opportunities for career progression, including roles as principals and team leaders
• Stability through a fully-funded prime government contract and additional support opportunities
• Broad array of work opportunities locally and nationally

Pay

Salary range: $100,000 – $200,000, with a target range of $160,001 - $200,000 based on experience and qualifications.