Senior Staff / Senior Machine Learning Engineer

SciTec in Boulder, CO offers onsite work with a robust benefits package and a salary range of USD 127,000 to 193,000 per year. This Senior Staff / Senior Machine Learning Engineer role focuses on designing, training, and optimizing high-performance ML models for remote sensor data, integrating into production Linux software within an Agile team.

Benefits

• 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

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

Technologies

• Python
• PyTorch
• TensorFlow
• scikit-learn
• Linux
• CUDA
• cuDNN
• TensorRT
• ROCm
• C++17/20/23

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