Senior Staff / Senior Machine Learning Engineer

SciTec offers an onsite Senior Staff / Senior Machine Learning Engineer role in Boulder, Colorado, with a competitive salary range of USD 127,000 – 193,000 per year. This position lives in a collaborative, Agile environment that values clear communication, reproducible ML workflows, and production‑grade software integrated into Linux systems. You will join a culture focused on impactful remote sensing work, strong teamwork, and ongoing professional growth, with comprehensive benefits that support health, financial security, and work‑life balance.

The role centers on designing, training, and optimizing high‑performance ML models for remote sensor data exploitation, with integration into production Linux software within an Agile team.

Responsibilities

• Design and implement machine learning, deep learning, and AI algorithms to extract insights from remote sensor data
• Develop, train, and optimize models for image analysis, object detection, tracking, and multi‑modal sensor fusion
• Build and deploy high‑performance inference pipelines capable of handling large data volumes in real time or near real time
• Collaborate closely with C++ and system engineers to integrate ML solutions into existing software frameworks
• Apply robust software engineering practices to ensure model reproducibility, performance, and maintainability
• Participate in an Agile team, contributing to shared tools, workflows, and documentation
• Other duties as assigned

Requirements

• Bachelor's degree in physical sciences, mathematics, engineering, computer science, or related field; additional education may substitute for professional experience
• Minimum 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 such as PyTorch, TensorFlow, and scikit-learn
• Strong understanding of data structures, numerical methods, and algorithm design
• Experience optimizing models and pipelines for high data throughput
• Expertise in feature engineering and statistical tests such as Mutual Information and Shapley Analysis
• Detail oriented with strong problem solving and analytical abilities
• Good verbal and written communication skills
• Ability to work full‑time onsite at the Boulder, CO office
• Ability to obtain and maintain a DoD security clearance

Technologies

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

Benefits

• 4% Safe Harbor 401(k) match
• 100% company paid HSA Medical insurance with two 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

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
• Experience deploying ML models in production, with 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 a physical sciences, mathematics, engineering, computer science, or related field
• Professional fluency in additional languages such as Python, Rust, or C++
• Prior experience in Agile software development environments
• Active DoD SECRET clearance or higher