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Wireless Ai Machine Learning Jobs (NOW HIRING)

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

InterSources

AI / Machine Learning Engineer

Malvern, PA · On-site

AI / Machine Learning Engineer Proven experience in data science, including data analysis, model development, and machine learning algorithms. Strong proficiency in Python for developing back-end ...

Oxy

AI Machine Learning Engineer

Houston, TX

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

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How much do wireless ai machine learning jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for wireless ai machine learning in the United States is $15.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $15.87 per hour, depending on experience, location, and employer.

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

To thrive as a Wireless AI Machine Learning Engineer, you need a strong background in wireless communications, machine learning algorithms, and programming, typically supported by a degree in computer science, electrical engineering, or a related field. Proficiency with tools such as Python, TensorFlow, PyTorch, MATLAB, and wireless simulation platforms, as well as knowledge of wireless standards, is essential. Innovative problem-solving, collaboration, and strong analytical thinking are standout soft skills in this position. These skills are crucial for designing intelligent wireless systems that optimize network performance and adapt to complex, dynamic environments.

How does a Wireless AI Machine Learning engineer typically collaborate with cross-functional teams to deploy solutions effectively?

Wireless AI Machine Learning engineers often work closely with hardware engineers, data scientists, and network architects to develop and implement intelligent wireless solutions. Collaboration usually includes sharing models and insights, integrating AI algorithms with hardware, and optimizing performance based on real-world feedback. Regular meetings and agile workflows are common, ensuring that machine learning models are aligned with both technical requirements and customer needs. This teamwork enhances solution robustness and keeps projects on track for timely deployment.

What is a Wireless AI Machine Learning engineer?

A Wireless AI Machine Learning engineer is a professional who specializes in applying artificial intelligence and machine learning techniques to optimize and enhance wireless communication systems. This role typically involves developing algorithms to improve network performance, automate tasks, and enable intelligent decision-making in wireless networks. These engineers work on projects related to 5G/6G, the Internet of Things (IoT), and other emerging wireless technologies. They often collaborate with data scientists and network engineers to develop solutions for challenges such as signal processing, resource allocation, and network security. Their expertise helps drive innovation in the rapidly evolving field of wireless communications.

What is the difference between Wireless Ai Machine Learning vs Wireless Network Engineer?

AspectWireless Ai Machine LearningWireless Network Engineer
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of machine learning frameworksDegree in Telecommunications, Computer Engineering; networking certifications (e.g., CCNA)
Work EnvironmentResearch labs, tech companies, AI-focused projectsTelecom companies, network infrastructure sites, enterprise environments
Industry UsageDeveloping AI algorithms for wireless systems, data analysisDesigning, implementing, maintaining wireless networks
Common Search/ComparisonYesYes

Wireless Ai Machine Learning focuses on developing AI algorithms for wireless systems, while Wireless Network Engineers design and maintain wireless networks. Both roles require technical expertise but differ in their core functions and industry applications.

Infographic showing various Wireless Ai Machine Learning job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 23% Full Time, 63% Part Time, 5% Temporary, 3% Contract, and 3% Nights. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $31,893 per year, or $15.3 per hour.
AI & Machine Learning

AI & Machine Learning

SynergisticIT

West Palm Beach, FL

Other

Posted 5 days ago

Job description

AI & Machine Learning

SynergisticIT is aware that the job market is challenging because of tech layoffs. The job market is flooded with hundreds and thousands of laid-off jobseekers competing with existing jobseekers. For entry-level job seekers to get client interviews and jobs they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients. Since 2010 we have helped jobseekers differentiate themselves by providing clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a job we make careers. All positions are open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, and Paypal, western union, client, visa, Walmart labs, etc., to name a few. We have an excellent reputation with the clients.

Currently, we are looking for AI & Machine Learning. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and green card filing to candidates. We also offer skill enhancement programs for candidates who are either missing skills or lacking industry/client experience with projects and skills. Candidates have difficulty finding jobs or cracking interviews or want to improve their skill portfolio. If they are qualified with enough skills and have hands-on project work with clients then no need for skill enhancement. Candidates can benefit from skill enhancement if they fall into the below categories. Candidates who lack experience or are fresher with no actual job experience with projects with clients who have had a break in careers lack technical competency or skills being demanded by clients different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the USA.

Required skills for Java/Software Programmers:

  • Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of Core Java, java script, C++ or software programming
  • Spring boot, Micro-services, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

Required skills for Data Science/Machine Learning:

  • Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in the programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, Power BI, Time series analysis

Please understand skills and relevant experience on real-world projects are required by clients for selection even if it's a junior or entry-level position. The additional skills and project work with hands-on experience building projects at the client site are the only way a candidate can be picked by clients. If not having the skills or hands-on project work at the client site, candidates can opt for skill enhancement to gain the required skills and project work. No third-party candidates or c2c candidates please only apply to the posting. No phone calls, please. Shortlisted candidates would be reached out to.

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