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

Senior ML Software Engineer - Apple Watch

Boulder, CO

$175K - $308K/yr

  • Medical

  • Dental

  • Retirement

We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer ...

Senior ML Software Engineer - Apple Watch

Boulder, CO

$175K - $308K/yr

  • Medical

  • Dental

  • Retirement

We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer ...

Senior ML Software Engineer, Watch Software

Boulder, CO

$175K - $263K/yr

  • Medical

  • Dental

  • Retirement

We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer ...

Senior ML Software Engineer, Watch Software

Boulder, CO

$175K - $263K/yr

  • Medical

  • Dental

  • Retirement

We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer ...

Senior ML Software Engineer, Watch Software

Boulder, CO

$175K - $263K/yr

  • Medical

  • Dental

  • Retirement

We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer ...

DS & AI Engineer

Fort Collins, CO · On-site

$147K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

DS & AI Engineer Description - Job Summary • This role is responsible for ensuring the technical ... Proficiency in data science, machine learning, modeling, and large language model technologies ...

Design, build and implement machine learning models, including the development of AI Models and ... Programming and scripting languages: Python, R, C++, Julia, Javascript, SQL * API integration and ...

Algorithm Engineer

Westminster, CO · On-site

$102K - $136K/yr

  • Retirement

Research, prototype, and implement solutions leveraging machine learning and computer vision technologies. * Collaborate with software engineers, geospatial specialists, and product teams to develop ...

Algorithm Engineer

Westminster, CO · On-site +1

$102K - $136K/yr

  • Retirement

Research, prototype, and implement solutions leveraging machine learning and computer vision technologies. * Collaborate with software engineers, geospatial specialists, and product teams to develop ...

Algorithm Engineer

Westminster, CO · On-site

$102K - $136K/yr

  • Retirement

Research, prototype, and implement solutions leveraging machine learning and computer vision technologies. * Collaborate with software engineers, geospatial specialists, and product teams to develop ...

New

Software Engineer

Boulder, CO · On-site

$125K - $180K/yr

Experience implementing custom factors for factor graph optimization. * 5+ years of software development experience in programming, machine learning, or a related field. * BS or MS in Computer ...

Showing results 41-60

Machine Learning Engineer information

See Longmont, CO salary details

$31.1K

$127.3K

$191.3K

How much do machine learning engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning engineer in Longmont, CO is $127,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $153,200.00 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 Longmont, CO?

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

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

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

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

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

Infographic showing various Machine Learning Engineer job openings in Longmont, CO as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,294 per year, or $61.2 per hour.

Computer Vision Engineer III - Optics Engineer

Sierra Space Corporation

Louisville, CO • On-site

$60 - $80.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Sierra Space Careers:

At Sierra Space, we build the missions and systems that keep our world secure in the domain above Earth.

Sierra Space team members share a spirit of innovation and collaboration and a belief that we can deliver on the boldest missions in space today. Together with our customers, we aim to safeguard our nation, sustain human presence in space, and secure the freedom of operations in low Earth orbit and beyond.

Our success is measured by the trust of those who rely on what we build and deliver, and our technologies keep the United States and its allies mission-ready throughout space.

We are mission-driven, and together, we are an extraordinary team.

About the RoleA Computer Vision Engineer III leverages extensive programming and machine-learning expertise to design, architect, and optimize AI software and hardware that utilizes visual data to perform specific tasks or solve complex problems. This role is pivotal in advancing RPO (Rendezvous and Proximity Operations) capabilities and solutions for satellites, driving innovation and excellence in the field.
In this role, you will design, architect, and implement advanced computer vision algorithms and models to process and analyze visual data. You will lead the integration and deployment of computer vision solutions into satellite systems, collaborating with cross-functional teams to ensure seamless functionality. Conducting rigorous testing and validation of computer vision systems will be a key responsibility, ensuring exceptional performance, accuracy, and reliability. You will develop and optimize sophisticated AI software and hardware for satellite applications, prioritizing scalability, robustness, and efficiency. Maintaining, enhancing, and refactoring existing computer vision systems and algorithms will be essential to improving performance and functionality. Additionally, you will document code, processes, and methodologies comprehensively for future reference and team collaboration. Mentoring and guiding junior and mid-level engineers will be an integral part of your role, providing technical leadership and fostering knowledge sharing. Staying abreast of the latest advancements in computer vision and machine learning technologies, you will apply relevant innovations to current and future projects. You will participate in and lead code reviews, offering constructive feedback to peers and ensuring code quality. Collaborating with product managers and stakeholders, you will define project requirements, deliverables, and timelines, driving innovation and continuous improvement in computer vision techniques and methodologies.About You

Our mission is driven by an unyielding commitment to advancing space-based technology in service of our customers and safeguarding national security. We seek individuals who are passionate about innovating beyond boundaries and relentlessly pursuing solutions that protect, preserve and empower - to join us in this critical mission.

We're looking for team members who align with our values, mission and goals - while also meeting the minimum qualifications below. The preferred qualifications are a bonus, not a requirement.

Minimum Qualifications:
  • Requires bachelor's degree in a related field (or equivalent work experience in lieu of degree or master's +3 yrs experience).

  • Typically, 5+ years of related experience.

  • Expertise in one to multiple programming languages and advanced understanding of software development principles.

  • Experience with different software development methodologies such as Agile and Scrum/Kanban.

  • Ability to design and architect complex software systems.

  • Strong problem-solving skills.

  • Ability to mentor and guide other engineers.

  • The ability to obtain and maintain a U.S. Security Clearance is required.

Preferred Qualifications:
  • Extensive experience with computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch.

  • Experience with developing and deploying Image Processing algorithms

  • In-depth knowledge of machine learning algorithms and techniques.

  • Prior experience with the design, integration and/or testing of integrated EO/IR systems

  • Experience with deriving optical system requirements from mission label requirements

  • Experience characterizing EO/IR Imaging System performance including: MTF, SNR, Distortion, Non-uniformity Characterizations, and Calibration

  • Experience with satellite systems or aerospace applications.

  • Proven track record of successfully delivering complex computer vision projects from concept to deployment.

  • Act as theSubject Matter Expert (SME)for optical sensors, providing technical guidance on sensor selection, calibration, and integration into computer vision systems.

  • Strong analytical skills and attention to detail.

  • Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders.

  • Experience with cloud platforms and services for deploying and scaling computer vision applications.

  • Familiarity with hardware acceleration techniques for computer vision tasks, such as using GPUs or specialized hardware.

  • Experience with data annotation and management for training computer vision models.

  • Knowledge of image processing techniques and tools.

  • Ability to lead and manage multiple projects simultaneously, ensuring timely delivery and high quality.

Compensation:

Pay Range:

$129,776.00 - $178,441.25

Your actual base compensation will be determined on a case-by-case basis and may vary based on job-related knowledge and skills, education,experience, internal equity and market competitiveness.

IMPORTANT NOTICE:

This position requires the ability to obtain and maintain a U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. Citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use.

Elevate Your Career

At Sierra Space, we are committed to your personal and professional development. We empower you to make profound and meaningful contributions and foster a vibrant culture of collaboration, where teamwork ignites breakthrough innovations.


We also offer a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, and more.

Sierra Space is an industry-leading space and defense technology company providing satellites, spacecraft, and enabling mission systems and components. We deliver mission-proven technologies to our customers that safeguard our nation, protect space-based assets and enable space exploration.

Application Deadline: This role will remain posted until a qualified pool of candidates is identified.

Please note: Sierra Space does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to Sierra Space team members not through our approved vendor list or Talent Acquisition will be considered property of Sierra Space, and we will not be obligated to pay any referral fees.

Sierra Space Corporationis an equal opportunity employer and is committed to working with and providing reasonable accommodations to applicants with disabilities. If you need special assistance or a reasonable accommodation related to applying for employment withSierra Spaceor at any stage of the recruitment process, pleasecontact us.