Artificial Intelligence​/Machine Learning Engineer (AI​/ML

Description

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

• Recognizing
  different types of satellites based on observations of them 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 our cloud computing and supercomputing specialists. You can expect regular opportunities to meet with and optionally present findings to local senior government customers.

• 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

Salary range: $100,000 - $200,000, based on qualifications listed below, plus company 401(k) match and discounted employee stock purchase plan

Flexible schedule: On-site core collaboration hours from 10 am to 3 pm, options to work nine or eight days out of every two weeks

Stability: Our team supports a fully-funded prime contract with the government. Additionally, our analysts routinely support other prime contracts as-necessary. As a large company with a major presence in Northern Virginia, SAIC offers a broad array of work opportunities for employees locally as well as nationally

Growth and career progression: You will have access to mentoring by experts in AI/ML and many other fields. Senior staff will have opportunities to serve as principals and team leaders. Managers will maintain open communications to ensure that you thrive

• 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

• Education degree: Computer Science, Data Science, Applied Math, or a related technical field
• Education and minimum professional experience for start of salary range:Bachelor's plus two years, Master's plus zero years, or PhD plus zero years
• Experience: Astrodynamics
• Programming: Python, C++, MATLAB, or similar
• Clearance:Minimum of TS/SCI, should have current or be able to pass polygraph test

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.