Overview
On Site
160k - 180k
Full Time
Skills
LOS
Communication
Computer Networking
Adaptability
Electrical Engineering
Computer Science
Management
Unsupervised Learning
Statistical Models
Python
TensorFlow
PyTorch
scikit-learn
MIMO
OFDM
SDRS
MATLAB
C
C++
Embedded Systems
Real-time
RF
Spectrum
Training
Machine Learning (ML)
Data Analysis
Signal Processing
Wireless Communication
Software Prototyping
Research
Algorithms
Collaboration
Insurance
SAP BASIS
Job Details
Job Description
This is a full-time opportunity for a Machine Learning Engineer based in Los Angeles, CA (hybrid schedule, 3 days onsite). Our client is a specialized engineering firm focused on developing next-generation wireless systems. Their work centers around building intelligent, resilient communication technologies designed to perform reliably in unpredictable and demanding environments.
This is a unique opportunity to apply machine learning to real-world wireless communication problems. You'll work alongside experts in signal processing, embedded systems, and networking to develop ML-driven features that enhance performance, efficiency, and adaptability. If you're passionate about solving complex technical challenges and want to work on systems that truly matter, this role offers a chance to make a tangible impact while growing your skills in a highly specialized domain.
Required Skills & Experience
M.S. or Ph.D. in Electrical Engineering, Computer Science, or related field
3+ years of experience in machine learning
Strong foundation in supervised/unsupervised learning, signal processing, and statistical modeling
Proficiency with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Familiarity with wireless communication systems (e.g., MIMO, OFDM, SDRs)
Experience with MATLAB or C/C++ for signal processing development
Desired Skills & Experience
Experience integrating ML models into embedded or real-time systems
Background in Radio Frequency data analysis or spectrum sensing
Experience building data pipelines for model training and validation
What You Will Be Doing
Tech Breakdown
Machine Learning & Data Analysis
Signal Processing & Wireless Systems
Software Prototyping & Integration
Daily Responsibilities
70% Hands-On Development
10% Research & Algorithm Design
20% Cross-functional Collaboration
The Offer
Bonus eligible
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Vacation Time
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
This is a full-time opportunity for a Machine Learning Engineer based in Los Angeles, CA (hybrid schedule, 3 days onsite). Our client is a specialized engineering firm focused on developing next-generation wireless systems. Their work centers around building intelligent, resilient communication technologies designed to perform reliably in unpredictable and demanding environments.
This is a unique opportunity to apply machine learning to real-world wireless communication problems. You'll work alongside experts in signal processing, embedded systems, and networking to develop ML-driven features that enhance performance, efficiency, and adaptability. If you're passionate about solving complex technical challenges and want to work on systems that truly matter, this role offers a chance to make a tangible impact while growing your skills in a highly specialized domain.
Required Skills & Experience
M.S. or Ph.D. in Electrical Engineering, Computer Science, or related field
3+ years of experience in machine learning
Strong foundation in supervised/unsupervised learning, signal processing, and statistical modeling
Proficiency with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Familiarity with wireless communication systems (e.g., MIMO, OFDM, SDRs)
Experience with MATLAB or C/C++ for signal processing development
Desired Skills & Experience
Experience integrating ML models into embedded or real-time systems
Background in Radio Frequency data analysis or spectrum sensing
Experience building data pipelines for model training and validation
What You Will Be Doing
Tech Breakdown
Machine Learning & Data Analysis
Signal Processing & Wireless Systems
Software Prototyping & Integration
Daily Responsibilities
70% Hands-On Development
10% Research & Algorithm Design
20% Cross-functional Collaboration
The Offer
Bonus eligible
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Vacation Time
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.