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Remote Unit Testing Jobs in Colorado (NOW HIRING)

Sr. Machine Learning Software Engineer

Denver, CO · On-site +1

$126K - $166K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Implement unit, integration, and system-level testing for ML models , covering data validation ...

Sr. Software Engineer - ML Systems

Denver, CO · On-site +1

$176K - $206K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Experience with unit, integration testing for ML models, including data validation, correctness ...

Sr. Machine Learning Software Engineer

Denver, CO · On-site +1

$126K - $166K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Implement unit, integration, and system-level testing for ML models , covering data validation ...

Sr. Software Engineer - ML Systems

Denver, CO · On-site +1

$176K - $206K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Experience with unit, integration testing for ML models, including data validation, correctness ...

Front-End Engineer II

Almont, CO · Remote

$110K - $120K/yr

Description: Remote Our client seeks a Front-End Engineer II to build and enhance single page ... Lint, evaluate, and unit test JavaScript. * Write clean, reusable code that adheres to published ...

Remote Our client seeks a Senior Developer to design, build, and maintain backend services in Rust ... Develop containerized services with unit and integration tests. Experience Requirements:

Senior Software Engineer -GCP

Denver, CO · Remote

$126K - $166K/yr

... testing, and maintaining code. Engineers on this team function as harness engineers: they design ... Own test strategy for the features you deliver - design test plans, write unit and integration ...

Senior Product Manager, College Pads

Denver, CO · On-site +1

$130K - $171K/yr

Remote (US) * Travel: * Reporting Structure: This role reports to the Senior Director, Product ... Strong understanding of funnel metrics and unit economics (e.g., CAC, LTV, conversion, retention ...

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Remote Unit Testing information

What is the difference between Remote Unit Testing vs Remote QA Tester?

AspectRemote Unit TestingRemote QA Tester
Primary FocusTesting individual code units for correctnessEnd-to-end testing of entire software applications
Skills & CertificationsProgramming, testing frameworks, coding skillsTesting methodologies, scripting, bug tracking
Work EnvironmentDevelopment teams, coding environmentsTesting labs, collaborative testing environments
Industry UsageSoftware development, DevOpsQuality assurance, software release cycles

Remote Unit Testing involves developers testing individual code components, focusing on code correctness. Remote QA Testers perform comprehensive testing of entire applications to ensure quality before release. While both roles require testing skills, Remote Unit Testing emphasizes coding and technical expertise, whereas Remote QA Testing centers on overall product quality and user experience.

How to become a remote QA tester?

To become a remote QA tester, develop skills in software testing, including knowledge of testing tools like Selenium or JUnit, and understand programming basics. Obtain relevant certifications such as ISTQB, build a strong portfolio, and gain experience through internships or freelance projects. Good communication skills and the ability to work independently are essential for remote roles.

What companies will pay you to test their products?

Companies across various industries, including software, gaming, and consumer electronics, hire remote testers to evaluate their products for quality and usability. These roles often involve testing websites, apps, or devices and may require knowledge of testing tools or scripting. Payment can come from tech firms, startups, or established corporations seeking user feedback and quality assurance services.

Will AI replace testers?

Remote unit testing involves verifying individual components of software, and while AI tools can assist in automating certain testing tasks, they are unlikely to fully replace human testers. Testers bring critical thinking, creativity, and contextual understanding that AI currently cannot replicate, making their role essential in ensuring software quality. AI can enhance testing efficiency but remains a tool to support, not replace, skilled testers.

What is remote unit testing?

Remote unit testing refers to the process of writing and executing unit tests for software code from a remote location, rather than on-site at a company's office. This allows developers or quality assurance engineers to verify that individual components of a program function correctly, regardless of their physical location. Typically, remote unit testing uses collaboration tools, code repositories, and testing frameworks to ensure code quality and reliability. It is especially useful for distributed teams or organizations that support remote work.

What are the key skills and qualifications needed to thrive as a Remote Unit Testing Engineer, and why are they important?

To thrive as a Remote Unit Testing Engineer, you need a solid understanding of software development principles, proficiency in writing automated tests, and experience with relevant programming languages. Familiarity with testing frameworks (such as JUnit, NUnit, or PyTest), CI/CD tools, and version control systems like Git is typically required. Strong attention to detail, problem-solving abilities, and effective remote communication skills help you excel in a distributed team environment. These skills ensure software reliability, minimize bugs, and support seamless collaboration in remote development settings.

What job makes $10,000 a month without a degree?

Remote unit testing roles in software development can pay around $10,000 per month for experienced professionals, especially those with strong coding skills in languages like JavaScript, Python, or Java. These positions often require proficiency with testing frameworks and automation tools, and some may be freelance or contract-based, allowing for higher earnings without a formal degree.

How does a remote unit testing engineer typically collaborate with development teams and ensure effective communication?

As a remote unit testing engineer, collaboration with development teams often relies on clear, consistent communication through project management tools, video calls, and chat platforms. You’ll participate in regular stand-ups or sprint meetings to discuss test coverage, share feedback, and address issues promptly. Maintaining detailed documentation of test cases and results is essential for transparency and alignment with developers. Proactive communication and responsiveness are key to ensuring that testing aligns with project timelines and quality standards, despite working remotely.
What job categories do people searching Remote Unit Testing jobs in Colorado look for? The top searched job categories for Remote Unit Testing jobs in Colorado are:
What cities in Colorado are hiring for Remote Unit Testing jobs? Cities in Colorado with the most Remote Unit Testing job openings:
Sr. Machine Learning Software Engineer

Sr. Machine Learning Software Engineer

Cleerly, LLC

Denver, CO • On-site, Remote

$126K - $166K/yr

Other

Posted 2 days ago


Job description

About Cleerly
We're Cleerly - a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location.
Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks.
At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description.
While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.
Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives.
About the Opportunity
We are seeking a senior machine learning software engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.
Responsibilities
  • Collaborate with AI scientists to package and deploy ML models, ensuring reproducibility, versioning, and compliance.
  • Build and maintain model serving infrastructure including monitoring, drift detection, automated retraining, and logging.
  • Implement unit, integration, and system-level testing for ML models, covering data validation, model correctness, and deployment workflows.
  • Develop and operate end-to-end ML pipelines: ingestion → preprocessing → feature engineering → evaluation → deployment → monitoring.
  • Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.
  • Identify and resolve workflow inefficiencies or gaps between research and production.
  • Recommend and integrate frameworks, libraries, and infrastructure to improve pipeline efficiency, maintainability, and observability.
  • Collaborate cross-functionally to ensure compliance with regulatory requirements (FDA/HIPAA) in production ML workflows.
Requirements
  • 7+ years of experience in software engineering for ML production or ML platform delivery.
  • Hands-on experience deploying ML models via APIs, batch pipelines, or streaming inference.
  • Proficiency in Python (required), Java, or similar, with software engineering best practices for ML workflows.
  • Experience with unit, integration, and pipeline-level testing for ML models, including data validation, correctness checks, and reproducibility.
  • Familiarity with cloud platforms (AWS preferred: SageMaker, S3, EC2) and reproducible ML pipelines.
  • Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.
  • Strong collaboration skills to work effectively with AI scientists, software engineers, and regulatory teams.
The base salary range for this role varies by location and is aligned to market benchmarks.
  • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
  • Final compensation is determined based on location, experience, skills, and internal equity.
This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:
  • Base Salary: $153,000 - $179,000
  • TTC: $176,000 - $206,000
*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.
Working at Cleerly takes HEART. Discover our Core Values:
  • H: Humility- be a servant leader
  • E: Excellence- deliver world-changing results
  • A: Accountability- do what you say; expect the same from others
  • R: Remarkable- inspire & innovate with impact
  • T: Teamwork- together we win

Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company.
OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts.
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