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Machine Learning Engineer Jobs in Durango, CO (NOW HIRING)

Senior Weld Engineer I/II

Durango, CO ยท On-site

$116K - $192K/yr

The Sr. Weld Engineer will serve as the technical authority for metal alloy joining processes across our propulsion systems. This role is critical in ensuring the structural integrity and stability ...

Senior Weld Engineer I/II

Durango, CO ยท On-site

$116K - $192K/yr

The Sr. Weld Engineer will serve as the technical authority for metal alloy joining processes across our propulsion systems. This role is critical in ensuring the structural integrity and stability ...

Machine Learning Engineer information

See Durango, CO salary details

$29.4K

$120.1K

$180.4K

How much do machine learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for machine learning engineer in Durango, CO is $120,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Durango, CO?

The most popular types of Machine Learning Engineer jobs in Durango, CO are:

What are popular job titles related to Machine Learning Engineer jobs in Durango, CO?

For Machine Learning Engineer jobs in Durango, CO, the most frequently searched job titles are:

What cities near Durango, CO are hiring for Machine Learning Engineer jobs?

Cities near Durango, CO with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Durango, CO as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 21% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $120,070 per year, or $57.7 per hour.

Manufacturing Engineer II

Agile Space Industries

Durango, CO โ€ข On-site

$84K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 days ago


Job description

Job Type
Full-time
Description
Agile Space Industries is a rapidly growing supplier of propulsion hardware and engineering services for the space industry. Headquartered in Durango, Colorado, with expanding operations in and Tulsa, Oklahoma, and upcoming growth in Seattle, Washington, Agile has achieved more than 40% year-over-year growth for the past three years, and our momentum continues to accelerate.
At Agile, we design, build, and test in-space propulsion systems that give spacecraft the ability to maneuver with precision, reliability, and purpose. Our technologies play a critical role in missions that range from lunar landings and resource utilization to national defense, human exploration, and commercial space transport.
We are seeking bold and driven individuals who thrive in a hands-on, fast-moving environment and want to help write the next chapter of space history as part of a close-knit, innovative team. You will take on a demanding and rewarding role at Agile, directly shaping the future of in-space propulsion. As an integral contributor during our growth stage, you will be eligible to participate in our stock option plan, giving you the opportunity to share in the long-term value you help create. All stock grants are subject to executive review and approval in accordance with the Company's equity plan.
Position overview
Agile is seeking a Manufacturing Engineer II to join our team and drive the delivery of high-quality hardware through design, prototyping, development, and production. This role is for individuals with a solid background in engineering and manufacturing, offering opportunities to shape and optimize processes in aerospace component production. While aerospace experience is beneficial, it is not a requirement.
This position is well-suited for professionals with a few years of hands-on experience in manufacturing engineering or those who have demonstrated leadership in managing manufacturing processes. Successful candidates may come from various backgrounds, such as engineering, process optimization, or leadership roles in manufacturing settings.
Responsibilities:
  • Lead and oversee the development, implementation, and optimization of manufacturing processes for aerospace components, ensuring compliance with high-quality standards and regulatory requirements.
  • Collaborate closely with design engineering, operations, and quality assurance to ensure design specifications are translated into manufacturable products, facilitating the transition from prototype to full-scale production.
  • Conduct advanced process capability assessments, root cause analysis, and risk evaluations to identify process improvement opportunities and cost-saving initiatives.
  • Develop and update detailed manufacturing documentation, including process instructions, standard operating procedures, and work instructions, ensuring they are in line with industry best practices.
  • Utilize statistical analysis and data-driven methodologies to monitor and analyze manufacturing performance, driving improvements and implementing corrective actions as needed.
  • Lead initiatives related to automation, robotics, and advanced manufacturing technologies to enhance production efficiency and reduce costs.
  • Provide technical guidance and mentorship to junior engineers and technicians, helping to foster a culture of continuous learning and professional development.
  • Maintain and strengthen collaboration across teams, ensuring that technicians, machinists, and assembly teams are actively involved in the process design and improvement efforts.
  • Ensure compliance with safety and regulatory standards, including handling hazardous materials and ensuring safeguards are in place.

Requirements
  • Bachelor's degree in Mechanical Engineering, Aerospace Engineering, or a related field. Significant work experience may be considered in lieu of a degree.
  • 2-5 years of experience in manufacturing engineering, process improvement, or related technical roles.
  • Proven ability to apply engineering principles and decision-making to resolve complex manufacturing challenges.
  • Strong proficiency in CAD software (e.g., SolidWorks, CATIA) and other engineering tools used for design, analysis, and optimization.
  • Hands-on experience in manufacturing environments, with a demonstrated ability to handle both the technical and logistical aspects of production.
  • Proven track record in continuous process improvement and the ability to drive manufacturing efficiencies.
  • Strong communication skills and the ability to collaborate effectively with cross-functional teams.
  • Solid understanding of engineering mathematics (at least Trigonometry), as applied to manufacturing and process analysis.
  • Ability to learn and adapt in a dynamic work environment, while receiving and integrating feedback.

Preferred Qualifications:
  • Knowledge of manufacturing processes, materials, and industry standards (e.g., AS9100, ISO9001.)
  • Use of GD&T in a manufacturing environment.
  • Exposure to gage and fixturing methodology.
  • Development and deployment of automated manufacturing systems.
  • Exposure to ERP/MRP.
  • Familiarity with CAM software.
  • Proven track record in high-rate manufacturing environments.
  • Experience with hazardous materials and proper safeguards for handling and compliance.
  • Programming knowledge (C, C++, Python, ladder logic, block programming etc.)

Physical Requirements: Prolonged periods of sitting at a desk and working on a computer
Employment Type: Exempt
Salary: $84,000-$110,000 Final compensation will be based on factors such as experience, skills, and internal equity, and is typically made within the midrange, rather than the upper end.
Work Schedule: Full Time
Location: Durango, CO
#LI-Onsite
Posting Timeline: This position will remain open for a minimum of five (5) days and will continue to accept applications until the role is filled. Early applications are encouraged, as reviews and interviews may begin during the posting period.
What You'll Love About Us: Agile Space Industries offers exceptional benefits to support you and your family including generous health coverage, dental and vision plans, Flexible Time Off, parental leave, and a 401(k) with 100% company match up to 4%. We are committed to creating a diverse work environment and proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other basis protected by law.
Disclaimer: Agile is proud to offer a competitive benefits package to support our team members as they take on challenging, mission-driven work. The benefits listed in this job description are applicable to full-time employees. Part-time, temporary, or other non-full-time employees may have different benefit eligibility in accordance with company policy and applicable plan terms.
Don't meet every single requirement? At Agile, we are committed to fostering a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway. You might be the perfect fit for this role or another opportunity with us.
Reasonable Accommodation: At Agile, our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at Agile Space Industries. If you need a reasonable accommodation during the application or the recruiting process, please submit a request to talent@agilespaceindustries.com.
Recruitment Notice: Agile Space Industries is not partnering with external recruiters or agencies at this time. Please do not contact our staff directly regarding open positions. All candidates must apply through our official application
Salary Description
$84,000-$110,000