Machine Learning Engineer (R&D)
Torrance, CA
Applications have closed
Epirus
Epirus is a high-growth technology company that develops cutting-edge directed energy systems and power management solutions to transform multiple industries.About Epirus
Epirus is a high-growth technology company that develops solid-state, human-safe directed energy systems that enable unprecedented counter-electronics effects and power management solutions to enhance power efficiency in defense and commercial electronics. With a constant emphasis on innovation, we are redefining modern power systems to increase the velocity of change for our customers and bring tomorrow's capabilities to life, today.
Job objective: As part of the Office of the CTO (OCTO) research and development organization, you’ll contribute to the mission by developing high-performance real-time, autonomous software systems to rapidly develop next generation products. Employ your experience by developing software systems that support functions such as autonomous target tracking, agile electronic beam-forming, and real-time hardware control.
Duties
- 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
Required Qualifications:
- 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)
Desired Qualifications:
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Caffe Circuit Design Computer Science Computer Vision Deep Learning Engineering Keras Machine Learning Mathematics Matplotlib ML models NumPy OOP Pandas PhD Physics Python PyTorch R R&D Research Scikit-learn SciPy Security Spark Statistics TensorFlow
Perks/benefits: Career development Startup environment
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