Senior Staff / Senior Machine Learning Engineer

SciTec

$126K — $193K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a technical field (science, mathematics, engineering, or computer science)
  • 5+ years of experience in machine learning or AI engineering
  • 3+ years of experience in Linux environments
  • Proficient in Python and common ML frameworks (e.g., PyTorch, TensorFlow)
  • Strong understanding of data structures and algorithm design
  • Experience in optimizing high-throughput data processing models
  • Ability to obtain and maintain a DoD security clearance

Responsibilities

  • Develop and implement ML, deep learning, and AI algorithms for sensor data exploitation
  • Design, train, and optimize models for image analysis and multi-modal sensor fusion
  • Deploy high-performance inference pipelines for large-volume data
  • Collaborate with engineering teams for ML/AI integration into software frameworks
  • Apply software engineering practices for model reproducibility and performance
  • Contribute to Agile team tools, workflows, and documentation
  • Perform other duties as assigned

Benefits

  • 4% Safe Harbor 401(k) match
  • 100% company paid HSA Medical insurance
  • 80% company paid Dental insurance
  • 100% company paid Vision insurance
  • 100% company paid Life and Long-term Disability insurance
  • Annual Profit-Sharing Plan
  • Generous Paid Time Off and Flexible Work Hours
Full Job Description
SciTec has an immediate opportunity for a talented Machine Learning & AI Engineer to support our programs delivering Next-Generation Missile Warning software. This is a unique opportunity to join a small business delivering core capabilities for national defense. You will work within a fast-paced team developing end-to-end machine learning and analytics pipelines for Overhead Persistent InfraRed (OPIR) sensor data supporting Missile Warning, Missile Defense, Battlespace Awareness, and Technical Intelligence.

We are seeking a Staff/Senior Staff Machine Learning & AI Engineer to design, train, and optimize high-performance ML models and algorithms that enhance remote sensor data exploitation and analysis. This role focuses on hands-on algorithm development, model optimization, and integration into production software systems running on Linux.

The ideal candidate is a strong individual contributor with deep experience in machine learning, high-throughput data processing, and applied algorithmic development. Success in this role requires technical curiosity, rigorous engineering practices, and the ability to collaborate effectively within a highly technical, Agile team.

Responsibilities
  • Develop and implement machine learning, deep learning, and AI algorithms for remote sensor data exploitation
  • Design, train, and optimize models supporting image analysis, detection, tracking, and multi-modal sensor fusion
  • Deploy high-performance inference pipelines for large-volume, real-time or near-real-time data processing
  • Collaborate closely with C++ and system-level engineers to integrate ML/AI solutions into existing software frameworks
  • Apply strong software engineering practices to ensure model reproducibility, performance, and maintainability
  • Work as part of an Agile team and contribute to shared tools, workflows, and documentation
  • Other duties as assigned

Requirements
  • A Bachelor's degree in the physical sciences, mathematics, engineering, computer science, or a related field
    (Additional years of education may be substituted for years of professional experience)
  • At least five years of professional experience in machine learning, AI engineering, or applied algorithm development
  • At least three years of experience working in Linux environments
  • Proficiency with Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Strong understanding of data structures, numerical methods, and algorithm design
  • Experience optimizing models and pipelines for high-data-throughput processing
  • Feature engineering and statistical tests, such as Mutual Information and Shapley Analysis
  • Detail oriented with strong problem-solving skills
  • Good verbal and written communication skills
  • Ability to work full-time in-person at the Boulder, CO office location
  • Ability to obtain and maintain a DoD security clearance

Preferred Qualifications
  • Experience with GPU programming and acceleration (CUDA, cuDNN, TensorRT, ROCm, etc.)
  • Direct experience applying ML/AI techniques to OPIR, E/O, SAR, Spectral, RF, or other remotely sensed data
  • Strong understanding of modern software engineering principles, including object-oriented design and SOLID principles
  • Experience with production deployment of ML models, MLOps pipelines, or real-time inference systems
  • Familiarity with C++17/20/23, especially for model integration or high-performance compute components
  • Advanced degree (MS or PhD) in the physical sciences, mathematics, engineering, computer science, or a related discipline
  • Professional fluency in one or more additional languages: Python, Rust, or C++
  • Prior experience in Agile software development environments
  • A current active DoD SECRET clearance or higher

Benefits

SciTec offers a highly competitive salary and benefits package, including:
  • 4% Safe Harbor 401(k) match
  • 100% company paid HSA Medical insurance, with a choice of 2 buy-up options
  • 80% company paid Dental insurance
  • 100% company paid Vision insurance
  • 100% company paid Life insurance
  • 100% company paid Long-term Disability insurance
  • 100% company paid Hospital Indemnity insurance
  • Voluntary Accident and Critical Illness insurance
  • Short-term Disability insurance
  • Annual Profit-Sharing Plan
  • Discretionary Performance Bonus
  • Paid Parental Leave
  • Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
  • Flexible Work Hours


The pay range for this position is $126,000 - $193,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.

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