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Senior Staff / Senior Machine Learning Engineer

SciTec
Boulder, USA
Senior · 5+ years experience
Onsite
Discovered 2 weeks ago
linuxpythonpytorchrustscikit-learntensorflow

Full Job Posting

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
  • 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)

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
  • #ND123

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

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