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Remote Wireless Research Scientist Jobs (NOW HIRING)

IonQ

Senior Microwave Research Scientist

$126K - $166K/yr

This role will work remote Travel: 25% travel Job ID: 1601 The Role: We are looking for a Senior Microwave Research Scientist. As a Senior Microwave Research Scientist, you'll be part of a cross ...

Workato

Senior AI Research Scientist

San Francisco, CA · On-site +1

$116K - $147K/yr

Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an exceptional AI Research Scientist to join our growing team. In this role, you will be responsible to:

iRhythm Holdings, Inc.

Sr Clinical Scientist

The Senior Clinical Research Scientist is responsible for the leading scientific aspects of ... This is a fully remote position, allowing you to work from anywhere within the United States.

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

All Riverside Research opportunities require U.S. Citizenship. Position Overview Riverside Research is seeking a full-time Remote Sensing Scientist in support of the National Air and Space ...

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Remote Wireless Research Scientist information

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$50.5K

$130.1K

$174K

How much do remote wireless research scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote wireless research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Wireless Research Scientist vs Remote Wireless Engineer?

AspectRemote Wireless Research ScientistRemote Wireless Engineer
Required CredentialsMaster's or PhD in Electrical Engineering, Wireless Communications, or related fieldsBachelor's or Master's in Electrical Engineering or Computer Science
Work EnvironmentResearch labs, academic institutions, corporate R&D teamsDesign, develop, and implement wireless systems in industry settings
Employer & Industry UsageUniversities, research institutions, tech companiesTelecom companies, device manufacturers, network providers
Common Search & Comparison IntentUnderstanding research-focused roles in wireless techLooking for industry-focused wireless engineering roles

The Remote Wireless Research Scientist primarily focuses on advancing wireless technology through research and development, often working in academic or corporate R&D environments. In contrast, the Remote Wireless Engineer applies existing wireless principles to design, develop, and deploy wireless systems in industry settings. Both roles require strong technical credentials, but their focus and work environment differ significantly.

What are some common challenges faced by remote wireless research scientists, and how are they typically addressed?

Remote Wireless Research Scientists often encounter challenges such as coordinating with distributed teams, accessing specialized laboratory equipment, and ensuring effective communication across time zones. These challenges are typically addressed through the use of collaborative digital tools, remote access to simulation platforms, and regular virtual meetings. Additionally, many organizations provide structured project management systems and flexible work schedules to support remote collaboration and maintain research productivity.

What does a remote wireless research scientist do?

A Remote Wireless Research Scientist conducts research and development on wireless communication technologies, such as 5G, WiFi, and emerging protocols, often working from a remote location. Their work involves designing experiments, analyzing data, developing algorithms, and publishing findings to advance wireless network performance, security, and efficiency. They may collaborate with other researchers, engineers, or industry partners, and utilize tools like simulation software and hardware prototypes. This role requires strong technical expertise in wireless systems, signal processing, and computer networking.

What are the key skills and qualifications needed to thrive as a remote wireless research scientist?

To thrive as a Remote Wireless Research Scientist, you need a solid background in wireless communications, signal processing, and computer science, usually supported by an advanced degree in electrical engineering or a related field. Familiarity with simulation tools like MATLAB, network analyzers, and programming languages such as Python or C++ is typically required, along with experience in wireless standards and protocols. Strong analytical thinking, problem-solving skills, and the ability to communicate complex ideas clearly are crucial soft skills for this role. These competencies enable effective research, innovation, and collaboration in advancing wireless technology solutions.
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Remote Wireless Research Scientist jobs near you
Infographic showing various Remote Wireless Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Machine Learning Research Scientist (Remote)

GroupSolver

San Diego, CA • Remote

Full-time

Re-posted 22 days ago

Job description

GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic. Combining AI and Crowd Intelligence, our technology helps decision makers and researchers find insights, which would otherwise remain hidden from traditional online surveys. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon.

  • Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices.

Basic Qualifications:

  • MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
  • 2+ years of hands-on experience in predictive modeling, ML or large data analysis
  • Algorithm and model development experience for large-scale applications
  • Proficiency in at least one of the following languages: Python, R/Matlab, Java
  • Comfortable working with teams in different time zones, (USA, Europe)
  • Good communication skills, ability to explain technical concepts to non-technical audiences.

Preferred Qualifications:

  • Strong understanding of Transformer architecture and Attention mechanisms.
  • 2 years of experience in NLP
  • Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning
  • Knows the difference between RNN, CNN, LSTM, GANs.
  • Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.