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 $127,000 - $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. SciTec is proud to be an Equal Opportunity employer. VET/Disabled