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Wireless Machine Learning Engineer Jobs (NOW HIRING)

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine learning could directly influence how the next generation of AI models reason, plan, and solve complex ...

ICONMA

Machine Learning Engineer

Mclean, VA · On-site

Machine Learning Engineer Our client, a financial company, is looking for a Machine Learning Engineer for their McLean, VA location. Requirements: * Python, AWS, Kubernetes, Kubeflow, MLOps, ML ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Ai Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

ManTech

Machine Learning Engineer

Herndon, VA · On-site

The Machine Learning Engineer will leverage their strong technical background and knowledge to support highly scalable machine learning-based applications, including both pipelines and services ...

LeanData

Machine Learning Engineer

Santa Clara, CA · On-site

Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue. We are looking for a curious and innovative Machine Learning Engineer to ...

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Wireless Machine Learning Engineer information

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$73K

$129.5K

$249K

How much do wireless machine learning engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for wireless machine learning engineer in the United States is $129,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $134,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Wireless Machine Learning Engineer, and why are they important?

To thrive as a Wireless Machine Learning Engineer, you need a strong background in wireless communications, signal processing, and machine learning, typically supported by a degree in electrical engineering, computer science, or a related field. Expertise in frameworks like TensorFlow or PyTorch, familiarity with wireless simulation tools (e.g., MATLAB, NS-3), and experience with relevant programming languages such as Python or C++ are commonly required. Strong problem-solving abilities, collaboration, and effective communication are vital soft skills for bridging the gap between machine learning and wireless domain experts. These skills enable the development of innovative, data-driven solutions that enhance wireless network performance and reliability.

How does a Wireless Machine Learning Engineer typically collaborate with hardware and software teams during product development?

Wireless Machine Learning Engineers often work closely with both hardware and software engineering teams to ensure seamless integration of ML models into wireless communication systems. This collaboration involves translating algorithmic requirements into hardware-compatible solutions, optimizing model performance for embedded or edge devices, and troubleshooting integration issues as they arise. Regular cross-functional meetings and joint testing sessions are common, enabling engineers to align on system constraints, data collection strategies, and deployment timelines. Effective communication and a strong understanding of both wireless technologies and ML workflows are key to successful collaboration.

What is a Wireless Machine Learning Engineer?

A Wireless Machine Learning Engineer is a professional who combines expertise in wireless communication systems and machine learning techniques to improve network performance, optimize resource allocation, and enable intelligent automation in wireless networks. They design, develop, and implement machine learning algorithms that help wireless devices and networks adapt to changing environments, manage interference, and enhance data transmission. This role often requires strong knowledge of signal processing, wireless protocols, and programming skills in languages such as Python or MATLAB.

What engineer can make $500,000 a year?

A Wireless Machine Learning Engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in wireless communication and machine learning, and working in high-paying industries or senior roles. Achieving this level often requires specialized expertise, certifications, and leadership responsibilities.

What is the difference between Wireless Machine Learning Engineer vs Wireless Data Scientist?

AspectWireless Machine Learning EngineerWireless Data Scientist
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; strong data analysis skills
Work EnvironmentDevelops ML models for wireless systems, embedded devices, network optimizationAnalyzes wireless data, builds predictive models, interprets large datasets
Employer & Industry UsageTelecom, IoT, wireless device manufacturersTelecom, network providers, wireless technology firms

Wireless Machine Learning Engineers focus on developing ML models for wireless systems and devices, while Wireless Data Scientists analyze wireless data to extract insights. Both roles require similar educational backgrounds and often work within the telecom and IoT industries, but their core responsibilities differ in application and focus.

Infographic showing various Wireless Machine Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $129,511 per year, or $62.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

Upperline Health

Nashville, TN • On-site

Other

This job post has expired today. Applications are no longer accepted.

Upperline Health rating

3.0

Company rating: 3.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Position Overview: We are looking for a talented Machine Learning Engineer to help build and maintain machine learning pipelines that support predictive healthcare models. This role is ideal for someone with strong data engineering skills and a passion for applying machine learning to real-world healthcare challenges.
Key Responsibilities:
  • Design and implement data pipelines using SQL and Python from various data sources.
  • Synthesize large medical claims data records into useable data features.
  • Collaborate with Data Scientists to build, refine, and deploy various machine learning models in Python.
  • Learn and apply SAS as needed for dataset generation (prior experience is not required).
  • Ensure data quality, reproducibility, and performance in the pipelines.
  • Contribute to best practices for data governance and model deployment.
Qualifications:
  • 2-5+ YOE as a Machine Learning Engineer or Data Scientist with a focus on engineering data builds.
  • Proficiency in SQL/Snowflake and Python; willingness to learn SAS as needed.
  • Experience building and combining data pipelines and working with large datasets.
  • Basic understanding of healthcare claims data (e.g., Medicare claims) preferred.
  • Familiarity with machine learning workflows (e.g., scikit-learn, pandas, NumPy).
  • Strong problem-solving and communication skills, sharp critical thinking skills.
  • Comfortable with a fast-paced workstream that requires flexibility to work on multiple projects or analyses at the same time.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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