Senior Staff / Senior Machine Learning Engineer
SciTec · Boulder, CO · 2 wk ago
On-siteEngineering$127k–$193k/yrFull-time
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
Requirements
- A Bachelor's degree in the physical sciences, mathematics, engineering, computer science, or a related field
- 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
- Experience with 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++
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