Sierra Nevada Corporation

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, Colorado, USA · Mid · full-time

No sponsorship$10k-$20kDetected 45 days ago
PythonC++C#AlgorithmsDevOpsMachine LearningTensorFlowPyTorchData AnalysisData EngineeringNLPComputer VisionLLMsStatisticsCybersecurityLogisticsSignal ProcessingLoad TestingResearchCommunicationProblem Solving

About the role

  • The AI/ML Engineer II is a mid-level position for individuals with professional experience in designing and implementing machine learning algorithms.
  • Identify data gaps and propose solutions to improve data quality.
  • Conduct performance testing and validation of AI/ML models using rigorous evaluation metrics.

Responsibilities

  • Develop and maintain data pipelines for collecting, preprocessing, and managing large-scale datasets.
  • Optimize models for accuracy, efficiency, and scalability.
  • Collaborate with hardware engineers, software developers, and systems architects to align AI/ML solutions with mission-critical requirements.
  • Document technical designs, workflows, and testing procedures for internal and external use.
  • Train, evaluate, and optimize standard AI models (ANNs, CNNs, RNNs) for supervised and unsupervised tasks.
  • Execute validation and verification procedures, analyze test results, and support system compliance with safety and reliability standards.
  • IMPORTANT NOTICE: This position requires the ability to obtain and maintain a Secret U.S. Security Clearance.
  • We provide leading edge technologies and transformative solutions that support our nation's most critical security needs.
  • This position requires the ability to obtain and maintain a Secret U.S. Security Clearance.
  • You will take ownership of specific projects, perform data analysis, and optimize models for performance and scalability.

Requirements

  • Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline 2+ years of experience in a related field.
  • In the absence of a degree, a minimum of 6 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Proficiency in programming languages such as Python, C++, C# or Java.
  • Experience deploying AI/ML solutions in production environments.
  • Working knowledge of Agile or DevOps practices in software/ML project environments.
  • Hands-on experience with at least one advanced ML technique (e.g., clustering or dimensionality reduction) in coursework or projects.
  • Basic experience with GPU programming (e.g., CUDA basics) or using GPUs for ML model training.
  • Experience analyzing and processing diverse datasets to extract insights.
  • Familiarity with requirements gathering and basic deployment of ML systems.

Compensation

  • $108,496.89 - $149,183.22.
  • Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications.

Benefits

  • In this role, you will independently develop and deploy AI/ML solutions to address complex challenges, such as autonomous systems, predictive maintenance, and computer vision.
  • Design, implement, and optimize machine learning models for applications such as object detection, signal processing, predictive analytics, and decision-making systems.
  • Implement and test basic reinforcement learning algorithms and generative models under supervision.
  • Develop and integrate signal processing and computer vision modules to enhance perception and decision-making capabilities.
  • Relevant experience can be considered as a substitute for the required educational qualifications.
  • Practical experience using machine learning frameworks (e.g., TensorFlow, PyTorch) and applying core AI/ML techniques, including supervised, unsupervised, and introductory reinforcement learning methods.

Equal opportunity

  • SNC is an Equal Opportunity Employer committed to an environment free of discrimination.

Visa & Work Authorization

  • Security Clearance
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This listing is sourced directly from Sierra Nevada Corporation's careers page and normalized into a canonical job model.