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SAIC
Senior Principal AI/ML Systems Engineer
Career Insights for Machine Learning Engineer
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$168,439 / year median in California
Job Description
Company:
SAIC Location:
El Segundo, CA Career Level:
Mid-Senior Level Industries:
Technology, Software, IT, Electronics Description Description SAIC is seeking a highly skilled AI/ML Systems Engineer to provide Systems Engineering and Technical Advisory (SETA) support to a mission critical program in any of the following locations El Segundo, CA, Chantilly, VA, or Cape Canaveral, FL. In this role, candidate will directly support the National Reconnaissance Office's (NRO) Office of Space Launch (OSL)—the organization responsible for launch system acquisitions, mission planning, integration and on-orbit operations across the mission full lifecycle. As an AI/ML Systems Engineer, candidate will play a pivotal role in shaping the customer's AI/ML strategy, help drive innovation, guide technical direction, and ensure the delivery of cutting edge, mission aligned AI/ML capabilities. This position is ideal for engineers who thrive at the intersection of advanced analytics, system engineering, and strategic advisory work. Active Top Secret Clearance with Polygraph is required.Key Responsibilities to include:
- Collaborate with cross functional teams to define AI/ML project goals, success criteria, and development roadmaps that align with mission priorities.
- Understand and guide the design of advanced AI/ML models and algorithms, ensuring solutions effectively address complex mission challenges and deliver measurable value.
- Translate mission and business challenges into AI/ML opportunities, clearly articulating benefits, risks, and trade offs to non technical stakeholders.
- Stay current on emerging AI/ML technologies, introducing best practices, tools, and methodologies to strengthen the customer's technical posture.
- Provide mentorship and technical leadership to junior AI/ML practitioners, fostering a culture of innovation and continuous learning.
- Work closely with customer and vendor data engineers and architects to ensure data pipelines, infrastructure, and compute environments are optimized for model development and deployment.
- Support vendor teams in rigorous model validation and performance testing, ensuring AI/ML solutions meet mission requirements for accuracy, reliability, and robustness Qualifications Bachelors and nine (14) years or more experience; Masters and seven (9) years or more experience ; PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree.
- Active Top Secret Clearance with Polygraph.
- Relevant industry experience in designing and implementing AI/ML solutions.
- Strong knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
- Experience with cloud computing services (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings.
- Proficient in data modeling, data pipeline creation, and deployment of ML models in production environments.
- Familiarity with DevOps practices, including MLOps, and CI/CD pipelines for AI/ML.
- Must have SECURE Plus Certification
- Strong analytical and problem-solving skills with the ability to work on complex issues where analysis of situations requires an in-depth evaluation of variable factors.
- Excellent communication and interpersonal skills, with a proven record of engaging stakeholders and mentoring teams.