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

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 Jun 12, 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.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 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:

Senior Additive Manufacturing Engineer II

Agile Space Industries

Durango, CO • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago


Job description

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 Mount Pleasant, Pennsylvania, and Tulsa, Oklahoma, 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.


Agile Space Industries is seeking a Senior Additive Manufacturing Engineer II to join our team onsite in Durango, CO and drive the delivery of high-quality hardware through robust, repeatable production. This role is for individuals with a solid background in engineering and additive manufacturing, offering opportunities to shape and optimize processes in aerospace component additive production. While aerospace experience is beneficial, it is not a requirement.


This position is well suited for professionals with several years of hands-on experience in additive manufacturing or those who have demonstrated leadership in managing additive manufacturing processes. Successful candidates may come from various backgrounds, such as engineering, process optimization, or leadership roles, from an additive manufacturing setting.


Responsibilities

  • Develop, implement, and maintain manufacturing documentation, including process and work instructions, standard operating procedures, and qualification records, in alignment with AS9100 quality standards and internal specifications.
  • Collaborate closely with cross-functional teams in transition from prototype to full-scale production and own continuous production build execution, process monitoring, and data review.
  • Lead AM process development and production-readiness activities, including LPBF parameter development, CAPEX acquisition, and post-process workflows, to improve production throughput, yield, and repeatability of AM hardware.
  • Conduct process capability assessments, root cause analyses, and risk evaluations to identify machine utilization improvement opportunities, reduce variation, and support cost-saving initiatives.
  • Utilize statistical analysis and data-driven methodologies to monitor and analyze manufacturing performance, driving improvements and implement corrective actions as needed.
  • Lead the development of machine installation, operation, and qualification standards to support production readiness.
  • Develop a close collaboration with printer manufacturers to drive machine-level process improvements.
  • Provide technical guidance and mentorship to junior engineers, operators, and technicians, helping to foster a culture of continuous learning, process design, and improvement efforts.
  • Implement safety standards, including handling hazardous and reactive powders, ensuring safeguards are in place that maximize useable life of high value feedstock.
Requirements:
  • Bachelor's degree in Additive Manufacturing, Mechanical Engineering, Aerospace Engineering, or a related field. Significant work experience may be considered in lieu of a degree.
  • 7+ years of experience in additive manufacturing, manufacturing engineering, process improvement, or related technical roles.
  • Hands-on experience operating or developing processes on LPBF systems (e.g., Trumpf, EOS, SLM, Renishaw, or equivalent).
  • Familiarity with build prep software (e.g. 3DXpert, Magics, TruTops Print) and in-situ monitoring tools.
  • Strong background in process optimization, root-cause analysis, and statistical process control.
  • Proven ability to resolve complex manufacturing challenges and transition additive manufacturing from R&D to scaled production environments.
  • 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 statistics, 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, ASTM, ASME, etc.).
  • Exposure to GD&T in a manufacturing environment.
  • Proficiency in CAD software (e.g., SolidWorks, CATIA) Exposure to wire EDM setup, gauge and fixturing methodology.
  • Proven track record in high-rate manufacturing environments utilizing ERP/MRP.
  • Experience with hazardous materials and proper safeguards for handling and compliance.
  • Programming knowledge (C, C++, Python, etc.) to automate routine tasks.
  • Six Sigma knowledge.
  • Exposure to Materials Testing (chemical, mechanical, metallurgical).
  • Knowledge of powder metallurgy, thermal management in LPBF, defect formation mechanisms, and heat treatment.


Physical Requirements

  • Prolonged periods of sitting at a desk and working on a computer.
  • Lift / carry objects weighing up to 25lbs routinely unassisted and up to 75 lbs. on occasion in performing the work.
  • Pull or push objects weighing up to 25lbs routinely unassisted and up to 75 lbs. on occasion in performing the work.
  • Must be able to safely ascend and descend a ladder or step stool.


The expected salary range for this role is $120,000-$150,000 annually. 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
Employment Type: Exempt

Location: Onsite in Durango, CO

Onsite #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, region, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other basis protected by law. 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 hr@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 process to be considered