Engineer Jobs in Vista, CA

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1mo ago

Senior Machine Learning Engineer

Leidos Vista, CA

Vista, CA

1mo ago Closed

$108k - $195k/yr Full time Ai Ml Artificial Intelligence Computer Vision

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

Leidos offers a competitive compensation package along with a comprehensive benefits suite for an on-site role in Vista, California. This Senior Machine Learning Engineer position focuses on MLOps-enabled object detection for border security, ensuring the development, deployment, and integration of models across operational systems. The role carries a salary range of USD 107,900 to 195,050 per year and provides opportunities to own impactful projects from inception through production.

Benefits

Competitive compensation
Health and wellness programs
Income protection coverage
Paid leave and time-off benefits
Retirement savings options

Responsibilities

Develop, train, and evaluate machine learning models using modern MLOps practices and frameworks
Design and maintain reproducible training pipelines that support scalable and repeatable experimentation
Collaborate with cross-functional teams to integrate models into operational systems and workflows
Optimize model performance and reliability through continuous monitoring, testing, and iteration

Requirements

MS or PhD in Data Science, Engineering, Applied Science or a similar discipline with at least 10 years of industry experience
Ability to support the full ML lifecycle, from data preparation and training to deployment and monitoring
Experience tracking experiments, model performance, and model versioning using a platform like MLflow to ensure transparency and auditability
Experience with data versioning frameworks such as DVC, MLFlow Dataset, or LakeFs
Experience deploying and managing machine learning models in production environments using Docker or Kubernetes
Familiarity with modern data stacks including cloud platforms, data warehouses, and MLOps concepts
Ability to evaluate technical approaches and guide technical decision-making
Strong track record of delivery ownership and cross-functional collaboration
Ability to multitask across projects
Excellent communication skills, both written and verbal
Some travel is required (< 25%)
Ability to obtain and maintain Public Trust access

Technologies

MLflow, DVC, MLFlow Dataset, LakeFs
Docker, Kubernetes
Kubeflow, Airflow
ResNet, Yolo, U-Net

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