Senior Machine Learning Engineer

• Learning models for magnifying the impact of scientific research 
• Deep learning models for accelerating electromagnetic and radio frequency research 
• Optimization models for intelligent operation and power management of robust electrical systems  
• Computer Vision systems for situational awareness of dynamic real-world venues 
• Pattern-recognition systems for comprehending data from a variety of physical sensors 

• Undergraduate degree in computer science, mathematics, statistics, physics, or other related field 
• Fundamental knowledge of machine learning practice and theory, including model selection, development, optimization, and deployment 
• Comfortable writing robust code in Python and using Python ecosystem mathematical packages (NumPy, Pandas, Matplotlib, SciPy, etc.)
• Experience with one or more ML model development frameworks (TensorFlow, Keras, scikit-learn, PyTorch, Caffe, Apache Spark)
• Basic knowledge of computer science concepts (algorithms, data structures, object-oriented programming, etc.)
• US Citizen or Permanent Resident (future security clearance may be required) 

• MS or PhD with focus on machine learning, statistics, or computer science 
• 2+ years professional experience as a Machine Learning Engineer, Data Scientist, or Researcher 
• Prior experience successfully applying statistical learning methods to optimize business outcomes, discover novel insights, or improve a product 
• Strong knowledge of physics or other scientific domains 
• Experience with computer vision and related techniques (object recognition, motion estimation, etc.) 

At Epirus, we work to create innovative power solutions to solve some of the world’s most complex problems. We are forward thinking in nature and committed to bringing tomorrow’s capabilities to life, today. To deliver on our mission, our team is comprised of individuals with deep expertise in mechanical and electrical engineering (including radio frequency and digital circuit design) as well as software design. We are always looking for top-tier problem solvers and changemakers to join our fast-growing team.