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Thinking Machines Lab Jobs in Raleigh, NC (NOW HIRING)

Electrical Controls Engineer

Durham, NC

$72.50K - $96.90K/yr

Support machine build, integration, commissioning, and testing in both lab and production ... Strong problem-solving skills with attention to detail and system-level thinking * Effective ...

RESEARCH TECHNICIAN I

Durham, NC · On-site

$17.50 - $24/hr

... thinking. As a Research Technician I (Computational Biology & Bioinformatics) , you'll join a ... In the lab of Dr. Yi Zhang , you'll work alongside computational scientists, cancer biologists ...

RESEARCH TECHNICIAN I

Durham, NC · On-site

$17.50 - $24/hr

... thinking. As a Research Technician I (Computational Biology & Bioinformatics) , you'll join a ... In the lab of Dr. Yi Zhang , you'll work alongside computational scientists, cancer biologists ...

Strong communication, analytical thinking, and problemsolving abilities * A curious, proactive ... Build, configure, and maintain lab network systems and test environments * Support the testing ...

Build, configure, and maintain lab network systems and test environments * Support the testing ... Strong communication, analytical thinking, and problem-solving abilities * A curious, proactive ...

Proficient critical thinking and presentation skills * Basic Understanding of Computer Applications ... lab environment with frequent interruptions. * Exposure to loud noises including airplane machinery ...

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Thinking Machines Lab information

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How much do thinking machines lab jobs pay per hour?

As of May 30, 2026, the average hourly pay for thinking machines lab in Raleigh, NC is $20.14, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.68 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist at Thinking Machines Lab, and why are they important?

To thrive as a Data Scientist at Thinking Machines Lab, you need expertise in statistics, machine learning, and data analysis, usually backed by a degree in computer science or a related field. Proficiency in Python, R, SQL, and experience with cloud platforms and data visualization tools are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset help you deliver actionable insights and work effectively within teams. These skills and qualities are crucial for developing innovative solutions that drive impactful, data-driven decisions for clients.

What are the typical collaboration dynamics for team members at Thinking Machines Lab?

At Thinking Machines Lab, team members often work in cross-functional groups that include data scientists, engineers, designers, and project managers. Collaboration is highly encouraged through regular sprint meetings, project check-ins, and open communication channels. You can expect to engage with both internal colleagues and external clients to co-create data solutions, provide feedback, and iterate on project deliverables. This collaborative environment fosters learning and innovation, making it a great place for professionals who enjoy teamwork and problem-solving.

What is Thinking Machines Lab?

Thinking Machines Lab is a data science and artificial intelligence consultancy that helps organizations leverage data to solve complex problems and drive innovation. Founded in the Philippines, the company offers services such as data engineering, machine learning, data visualization, and geospatial analytics. Their team works with businesses, governments, and NGOs to design custom solutions and build data-driven strategies. Thinking Machines Lab is known for its expertise in AI and its commitment to ethical and impactful technology.

What is the difference between Thinking Machines Lab vs Data Scientist?

AspectThinking Machines LabData Scientist
Required CredentialsAdvanced degrees in computer science, AI, or related fieldsDegree in statistics, computer science, or related fields; certifications like Certified Data Scientist
Work EnvironmentResearch labs, tech companies, AI-focused organizationsCorporate offices, tech firms, consulting agencies
Industry UsageAI research, machine learning development, innovation projectsData analysis, predictive modeling, business insights

Thinking Machines Lab primarily focuses on AI research and machine learning innovation, often within research institutions or tech companies. Data Scientists analyze data to generate insights and support business decisions. While both roles require strong technical skills and knowledge of machine learning, Thinking Machines Lab emphasizes research and development, whereas Data Scientists focus on applying data analysis to real-world problems.

What are popular job titles related to Thinking Machines Lab jobs in Raleigh, NC? For Thinking Machines Lab jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Thinking Machines Lab jobs in Raleigh, NC look for? The top searched job categories for Thinking Machines Lab jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Thinking Machines Lab jobs? Cities near Raleigh, NC with the most Thinking Machines Lab job openings:
Infographic showing various Thinking Machines Lab job openings in Raleigh, NC as of May 2026, with employment types broken down into 2% As Needed, 68% Full Time, 19% Part Time, and 11% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $41,889 per year, or $20.1 per hour.

Intern - Lab/TAC Network Engineer

Extreme Networks

Raleigh, NC • On-site

Internship

Posted 24 days ago


Job description

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there's no better time to join the Extreme team.
The Lab Network Engineer Intern will learn routing and switching protocols using Extreme Networks multi-layer Ethernet switches. The LNE will learn how to design, implement, and troubleshoot networks working in the Services Lab Operations team. Candidates should have Windows and Linux experience, basic networking knowledge, excellent communication skills, and a passion to learn technology.
The Lab Network Engineer will work in the Services Lab Operations team in Morrisville, North Carolina. They will interface directly with the lab manager on a regular basis to:
• Learn Extreme Networks products, routing & switching protocols, and lab operations
• Setup networking equipment for Technical Support Engineers (TSEs) to use for customer support
• Partner with TSEs to help replicate customers' network issues (software, hardware, configuration)
• Assist with lab operations (racking, cabling, troubleshooting, managing equipment, etc.)
• Prepare to become a Technical Support Engineer, Network Engineer, or a related position
Success for this position is based on the following:
• Demonstrating technical aptitude, critical thinking, and communication skills to solve problems
• Passing certifications & internal training on products & network protocols
• Adhering to Service Level Agreements (SLAs) for lab setups and replications
• Accurately documenting work activities in a clear and concise manner
• Improving lab operations and processes on an ongoing basis
• Training various lab users on systems and processes
Candidate Requirements:
Required Knowledge, Skills and Abilities
• Passion and aptitude for learning technology and solving problems
• Strong written and verbal communication skills
• Basic networking knowledge including Ethernet, TCP/IP, OSI model, routing and switching
• Experience in a service-oriented position
• Can work independently with minimal guidance as well as collaboratively with other team members
• Excellent organization and time management skills
Preferred Skills
• Experience working with routers and switches in a lab environment or technical support position
• Knowledge of servers and virtualization (VMware, Linux, Microsoft)
• Knowledge of scripting language(s)
Background Experiences
• Pursuing a Bachelor's degree in a computer or networking related field
• Customer service experience, preferably in technical support
• Setting up and managing home networks (wired and wireless)
• Pursuing industry standard certifications
Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on "protected categories," Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.