ML Engineer Associate: Deep Learning Defense & Space

NanoRacks
El Segundo, US
On-site

Why this role

Pace
Fast Paced
Collaboration
Low
Autonomy
Medium
Decision Impact
Individual
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Develop cutting-edge deep learning technologies
  • Design advanced neural networks
  • Apply deep learning algorithms
  • Develop bias-aware physics simulations
Typical background
Bachelor's degree in a relevant field2-5 years of experience in machine learning

Transferable backgrounds

  • Coming from Machine Learning Engineer
  • Coming from Data Scientist

Skills & requirements

Required

Deep LearningNeural NetworksBias-aware Physics SimulationsUS Government Customers

Preferred

Bachelor's Degree2-5 Years Of Experience

Stack & domain

Deep LearningNeural NetworksBias-aware Physics Simulations

About the role

Original posting from NanoRacks

Position: ML Engineer Associate: Deep Learning for Defense & Space

A defense and technology company is seeking a Machine Learning Engineer in El Segundo, California.

Your role will involve developing cutting-edge deep learning technologies for US government customers. Candidates should have a Bachelor's degree and 2-5 years of experience. Key responsibilities include designing advanced neural networks, applying deep learning algorithms, and developing bias-aware physics simulations. A competitive salary of $120,000 — $170,000 USD is offered along with comprehensive benefits.

#J-18808-Ljbffr

Source: NanoRacks careers

Similar roles