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Flexible Remote Machine Learning Engineer Jobs in Colorado

... AI and machine learning applications, ensuring data is structured and documented for model ... Medical Flexible Spending Account * Dependent Care Spending Account * Lifestyle Spending Account

... AI and machine learning applications, ensuring data is structured and documented for model ... Medical Flexible Spending Account * Dependent Care Spending Account * Lifestyle Spending Account

... engineering to design effective and safe Machine Learning and AI solutions. * Train and iterate on ... We observe 12 paid holidays annually and provide discretionary Flexible Time Off. Employees also ...

Senior Engineer

Broomfield, CO · On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Through a combination of near-real-time data pipelines, machine learning techniques, and real-time ...

Software Engineer II

Denver, CO · On-site +1

$90K - $110K/yr

The platform transforms data from multiple sources, uses Azure's machine-learning capabilities for ... Benefits and Work Environment Synergetics offers a flexible, mostly remote work environment.

We use machine learning and real-world data to develop cybersecurity, device intelligence , network ... Why Join CUJO AI? * Flexible Work - Hybrid or fully remote options based on your location.

Chief Engineer

Colorado Springs, CO · On-site +1

$160K - $190K/yr

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... machine learning (ML); and Cybersecurity and zero-trust architecture. WHAT YOU CAN EXPECT TO DO:

Chief Engineer

Colorado Springs, CO · On-site +1

$160K - $190K/yr

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... machine learning (ML); and Cybersecurity and zero-trust architecture. WHAT YOU CAN EXPECT TO DO:

Chief Engineer

Colorado Springs, CO · On-site +1

$169K - $190K/yr

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... machine learning (ML); and Cybersecurity and zero-trust architecture. WHAT YOU CAN EXPECT TO DO:

Showing results 21-40

Flexible Remote Machine Learning Engineer information

How does a flexible remote work arrangement impact collaboration and project delivery for Machine Learning Engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

What is a Flexible Remote Machine Learning Engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

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

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

What are the key skills and qualifications needed to thrive as a Flexible Remote Machine Learning Engineer, and why are they important?

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.
What are the most commonly searched types of Remote Machine Learning Engineer jobs in Colorado? The most popular types of Remote Machine Learning Engineer jobs in Colorado are:
What are popular job titles related to Flexible Remote Machine Learning Engineer jobs in Colorado? For Flexible Remote Machine Learning Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Flexible Remote Machine Learning Engineer jobs in Colorado look for? The top searched job categories for Flexible Remote Machine Learning Engineer jobs in Colorado are:
What cities in Colorado are hiring for Flexible Remote Machine Learning Engineer jobs? Cities in Colorado with the most Flexible Remote Machine Learning Engineer job openings:
Principal Software Development Engineer - Agent Factory

Principal Software Development Engineer - Agent Factory

Workday

Boulder, CO • On-site, Remote

$140K - $187K/yr

Full-time

Posted 11 days ago


Workday rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

137th of 217 rated software companies


Job description

Your work days are brighter here.

We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too.

About the Team

Agent Factory is where Workday's next chapter gets built. We're forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI-deeply embedded into Workday's platform-not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You'll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter

About the Role

As a Principal Full Stack Software Engineer in Agent Factory, you'll help build the user-facing and platform experiences that bring Workday's AI agents to life. Working within a small, cross-functional pod, you'll design and ship full stack solutions-from intuitive front-end experiences to resilient backend services that integrate AI-driven capabilities deeply into HR and Finance workflows. This role is about turning powerful technology into products people actually use: scalable, reliable systems that simplify complex business processes for customers around the world. You'll collaborate closely with machine learning engineers, product managers, and platform teams, owning features end to end and seeing your work run in production. If you enjoy building real products, solving meaningful problems, and working with people who care about quality and craft, you'll feel right at home here.

Your responsibilities:

  • Build and deliver full stack features that power AI agents embedded in HR and Financial workflows

  • Own services and experiences from development through production-you build it, you run it

  • Collaborate in an iterative, team-first environment that values strong engineering practices and continuous learning

  • Share knowledge, mentor teammates, and help raise the technical bar across the pod

About You

Basic Qualifications

  • 12+ years experience in software development engineering, leading technical initiatives, designing complex systems, and ensuring the scalability and maintainability of software products

  • Bachelor's degree in Computer Science, Engineering, or related discipline; Master's degree preferred or equivalent practical experience.

Other Qualifications:

  • Experience building and operating SaaS products in cloud environments (AWS preferred)

  • Familiarity with the tradeoffs and architecture of modern distributed systems

  • Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)

  • Hands-on experience with containerization technologies (Docker, Kubernetes)

  • Familiarity with Elasticsearch

  • Exposure to additional programming languages like Java (backend) and TypeScript (frontend/fullstack) is a plus

  • Proven success working within fast-paced, agile environments and cross-functional teams

  • Strong communication skills, with the ability to collaborate with both technical and non-technical partners

  • Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions

  • Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement


Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here.

Primary Location: USA.CO.Boulder


Primary Location Base Pay Range: $182,400 USD - $273,600 USD


Additional US Location(s) Base Pay Range: $173,300 USD - $309,600 USD

Additional Considerations:

The application deadline for this role is the same as the posting end date stated as below:

07/28/2026


Our Approach to Flexible Work

With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.


At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates' privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.


What Workday employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Workday logo

About Workday

Sourced by ZipRecruiter

Workday's journey began with a transformative idea generated during a breakfast conversation between its founders in sunny California. What set us apart from the start was our people-centric culture, driven by the core value of prioritizing our employees. At Workday, the happiness, growth, and contributions of every team member are at the heart of who we are. Our collaborative and employee-focused culture is the key ingredient for our business success. We not only care for our people but also for the communities and the environment, all while maintaining profitability. Embrace your uniqueness, as we encourage our Workmates to shine brightly in their authentic selves. Our passion and energy make us distinct, and we are inspired to create a brighter workday for everyone.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

Pleasanton, CA, US

Year founded

2005