Machine Learning Engineer/ Communications/ West Los Angeles / Hybrid

Overview

On Site
140k - 170k
Full Time

Skills

LOS
Research and Development
Wireless Networking
Digital Signal Processing
Electrical Engineering
Computer Science
Management
Unsupervised Learning
Statistical Models
scikit-learn
MIMO
OFDM
SDRS
Algorithms
Embedded Systems
Stacks Blockchain
Radio
RF
Python
TensorFlow
PyTorch
MATLAB
C
C++
Wireless Communication
Machine Learning (ML)
Signal Processing
Collaboration
Firmware
Computer Networking
Data Analysis
Research
Performance Tuning
Insurance
SAP BASIS

Job Details

An industry-leading technology company based in West Los Angeles is seeking a Machine Learning Engineer to join their cutting-edge R&D team. This company is at the forefront of advanced MIMO radio and wireless networking technologies used in high-demand, mission-critical environments. This is a full-time role offering a hybrid schedule (3 days onsite) and the chance to work on some of the most innovative machine learning applications in wireless systems today.

This is an exciting opportunity to bridge the worlds of machine learning and real-world RF systems. If you're a creative problem-solver with a passion for applying ML to physical systems, this role offers unparalleled growth. You'll be working alongside a world-class team of DSP, embedded systems, and communications experts in a highly collaborative environment. If you're looking for the chance to solve real, impactful challenges with deep technical depth and see your models deployed into production, this is your stage.
Required Skills & Experience
  • M.S. or Ph.D. in Electrical Engineering, Computer Science, or related field
  • 3+ years of experience applying ML to real-world problems (or 1+ year with a Ph.D.)
  • Strong background in supervised and unsupervised learning, signal processing, and statistical modeling
  • Proficiency in Python and major ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Solid understanding of wireless communications (e.g., PHY/MAC layers, MIMO, OFDM, SDRs)
  • Experience with MATLAB or C/C++ for signal processing algorithm development
Desired Skills & Experience
  • Experience deploying ML models to embedded systems or firmware
  • Familiarity with wireless protocol stacks and/or radio networking
  • Hands-on experience with large-scale RF datasets and custom data pipelines
  • Exposure to reinforcement learning or anomaly detection in communications systems
What You Will Be Doing Tech Breakdown
  • 60% Python / ML Frameworks (TensorFlow, PyTorch, etc.)
  • 20% Signal Processing (MATLAB, C/C++)
  • 20% Wireless Communication Systems / Firmware Integration
Daily Responsibilities
  • 70% Hands-On Machine Learning & Signal Processing
  • 10% Cross-functional Collaboration with Firmware & Networking Teams
  • 20% Data Analysis, Research, and Performance Tuning
The Offer
  • Bonus eligible

You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Paid Vacation and Sick Leave
  • Stock Options / Equity
  • Hybrid Work Schedule (3 days onsite in West LA)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Motion Recruitment Partners, LLC