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Thinking Machines Lab Jobs in Colorado (NOW HIRING)

Familiarity with machine shop and quality lab tools and equipment * Strong troubleshooting and critical thinking skills * Ability to handle physical workload * Ability to thrive in a fast-paced ...

Familiarity with machine shop and quality lab tools and equipment * Strong troubleshooting and critical thinking skills * Ability to handle physical workload * Ability to thrive in a fast-paced ...

... lab process equipment and ensure such machinery operates in a clean organized environment. • ... critical thinking, attention to detail, mathematical, language and reasoning skills. Ascend ...

We're not a billion-dollar staffing machine with five departments and four handoffs before someone ... start thinking about your next contract before this one ends. Our rule is simple: No one gets ...

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Thinking Machines Lab information

See Colorado salary details

$13

$23

$35

How much do thinking machines lab jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for thinking machines lab in Colorado is $23.69, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $25.53 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 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 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 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 are popular job titles related to Thinking Machines Lab jobs in Colorado?

For Thinking Machines Lab jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Thinking Machines Lab jobs?

Cities in Colorado with the most Thinking Machines Lab job openings:

Infographic showing various Thinking Machines Lab job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $49,278 per year, or $23.7 per hour.

CNC Weekend Lead Machinist - Weekend Position

MBK Machine

Longmont, CO • On-site

$35 - $40/hr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 25 days ago


Job description

Benefits:
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off

 
We are seeking a CNC Lead Machinist to join our team on our weekend shift. You will work 36 hours (Friday- Sunday), get paid for 40 hours (4 bonus hours) and enjoy 4 days off in the week! You will help oversee operational activities and ensure excellent quality control as well as oversee the other 4 weekend employees. 
Responsibilities:
  • Oversee other weekend shift employees
  • Job preparation including building tools, fixturing, material prep, loading work/tool offsets, etc. according to programmer specifications
  • Coordinate with programmers on job progress & potential improvements
  • Troubleshoot and resolve issues in a timely fashion
  • Load and unload equipment and materials
  • Provide innovative solutions to improve shop efficiency
  • Conduct routine preventive maintenance on the shop floor
  • Log and record readings for machined parts
​Qualifications:
  • Previous experience in shop operations or other related fields
  • Familiarity with machine shop and quality lab tools and equipment
  • Strong troubleshooting and critical thinking skills
  • Ability to handle physical workload
  • Ability to thrive in a fast-paced environment