Senior Machine Learning Engineer

Posted 3 Days Ago
Be an Early Applicant
Torrance, CA
Hybrid
171K-202K Annually
Senior level
Aerospace • Hardware • Machine Learning • Robotics • Software
We create innovative power solutions to solve complex problems and increase the velocity of change for our customers.
The Role
The Senior Machine Learning Engineer at Epirus will design and develop machine learning models for advanced electronic systems, build deep learning frameworks, and create optimization solutions. Responsibilities include developing data collection pipelines, collaborating on model integration, and staying current with ML trends.
Summary Generated by Built In

About Epirus

Epirus is a high-growth technology company dedicated to overcoming the asymmetric challenges inherent to the future of national security. Epirus' flagship product, Leonidas, is a software-defined system built using intelligent power management techniques which allow power-hungry systems to do more with less.  


Job Summary: In this role, you will contribute to developing advanced machine-learning software systems that support real-time hardware control, electromagnetic field simulations, and electronic beam-forming. Leverage your knowledge of radio frequency (RF) systems and expertise in machine learning, deep learning, and optimization to create innovative solutions for advanced electronics, electromagnetic modeling, power management, digital twin software, and data analysis across multiple domains


Responsibilities: 

  • Design and develop machine learning models for next-generation electronic hardware and software systems.
  • Build deep learning models to accelerate electromagnetic and radio frequency research.
  • Develop optimization models for intelligent operation and power management of robust electrical systems.
  • Work alongside System Engineers in a laboratory to develop a data collection pipeline and framework.
  • Create pattern-recognition systems for comprehending data, ensuring data quality and reliability.
  • Develop and apply machine learning models to digital twin software for real-time simulation of complex systems.
  • Collaborate with cross-functional teams to integrate deep learning models into production environments.
  • Work with stakeholders to develop user interfaces for controlling instruments.
  • Basic cloud and edge computing knowledge
  • Stay current with emerging trends and advancements in machine learning and artificial intelligence technologies.

 Basic Qualifications:

  • Undergraduate degree in electrical engineering, computer science, mathematics, statistics, physics, or other related field 
  • At least 5 years of 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.)
  • Basic knowledge of RF systems and testing equipment such as oscilloscope, spectrum analyzer, vector network analyzer, RF amplifier. 

Preferred Skills and Experience:

  • MS or PhD with a focus on machine learning, statistics, or computer science 
  • 3+ years of 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 


ITAR REQUIREMENTS: 

  • To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.  

At Epirus, you’ll work with technical peers and great people—and get first crack at some of the defining technology challenges of our time. Here, “impossible” is just a challenge. We're a diverse, fast-growing team of change-makers fueling the future of energy with revolutionary solutions. Join us and rewrite the rules. 


As required by the Equal Pay Transparency Act, Epirus provides a reasonable range of minimum compensation for roles that may be hired. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. 

For the state of California only, the range of starting pay for this role is:

$170,500$201,500 USD

Top Skills

Python
The Company
HQ: Torrance, CA
240 Employees
Hybrid Workplace
Year Founded: 2018

What We Do

Epirus is a high-growth technology company developing solid-state, software-defined directed energy systems that enable unprecedented counter-electronics effects and power management solutions to optimize power efficiency in defense and commercial applications. With a constant emphasis on innovation, we are redefining the future of power to bring tomorrow’s capabilities to life, today.  

To deliver on our mission, we are always looking for problem solvers, changemakers and innovators to join our fast-growing team. People are the most important part of Epirus – and always come first. We don’t believe in the word impossible and are always asking “why not” as work to usher in a new paradigm of power efficiency. Our fast-growing team is agile, creative, and innovative. We support a culture of constant learning and sense of belonging among our team members and know that mentorship matters. We embrace diversity, equity, and inclusion in the workplace and beyond. 

Visit our website to learn more. www.epirusinc.com 

Why Work With Us

We're a people-first culture that ensures every employee is heard and has the opportunity to grow. At Epirus, we're using cutting edge technology and provide the ability to work with passionate team members. We truly believe that failure is not a setback, but an opportunity. We move fast and build cool things, come join us!

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