At Guild, we believe talent is everywhere and that opportunity should be too. We continue to have our home and headquarters in Denver, but we have embraced a distributed model of working to reach the best talent in the United States. While some roles may require proximity to our Denver office, roles based outside of our Denver office can sit in any of the following 32 states: AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, MA, MD, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI and Washington D.C. Please only apply if you are able to live and work full-time in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. We typically keep job postings active for 3–5 weeks, though this may vary depending on applicant volume and other factors.
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To thrive as a company and meet our impact goals, we must cultivate a culture of high-performance. We know managers are often the single-largest driver of employee satisfaction and growth, and our talent is our biggest asset. Because of that, we’ve identified consistent expectations for all of
Guild’s people managers — helping you know what to expect from your experience here.
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Guild is hiring a MLOps Tech Lead. As an MLOps Tech Lead, you'll provide technical leadership to the MLOps team while actively contributing to the architecture, design, and development of Guild's ML and AI agent platforms. This is a player / coach role, with a heavy emphasis on the player part in the beginning. We’re building this function 0-1 at Guild, and need you to be able to roll up your sleeves and get your hands dirty. You will drive both the technical roadmap and execution, ensuring best practices, reliability, scalability, and efficiency in our ML/AI infrastructure and operations.
As a MLOps Tech Lead, responsibilities include:
- Lead and mentor the MLOps engineering team, providing technical direction, oversight, and professional growth.
- Architect, design, and lead the implementation of Guild's scalable ML and AI agent deployment platform.
- Drive adoption of best practices for continuous integration, delivery, and deployment specific to AI and ML workflows.
- Ensure robust monitoring, logging, alerting, and observability of production ML systems and AI agents.
- Collaborate closely with data science, engineering, product, and business stakeholders to align technical initiatives with strategic business objectives.
- Champion and advance Guild’s data governance, privacy, security, and compliance standards within the ML operational context.
- Continually assess and integrate cutting-edge technologies and practices to maintain Guild’s leadership in MLOps and AI infrastructure.
You are a strong fit if you have:
- 10+ years of combined experience in MLOps, DevOps, software engineering, or related technical roles.
- Proven leadership experience leading teams technically, mentoring engineers, and setting technical direction.
- Deep expertise with modern cloud infrastructure (AWS, Azure, GCP), especially managed ML/AI services.
- Strong hands-on experience with Kubernetes, Docker, and container orchestration platforms.
- Advanced knowledge of ML serving frameworks (MLFlow, TensorFlow Serving, TorchServe, FastAPI) and ML pipeline orchestration (Airflow, Kubeflow).
- Understand MCP and have played with different MCP servers (github, Databricks, AWS)
- Proficiency in infrastructure-as-code (Terraform) and extensive experience with CI/CD tools and automated testing.
- Expert-level skills in Python programming, software engineering best practices, and scalable systems design.
We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package, including a base salary of $161-236,000, and stock options. Compensation offered will be based on a combination of factors such as experience, competencies, and internal equity.
At
Guild, we unlock the talent and economic potential of America’s workforce for employees and their companies. We partner with the nation’s largest employers—including Walmart, Chipotle, Discover, Hilton, Macy’s, Target, and The Walt Disney Company—to create cultures of opportunity that help them attract and retain top talent, while building the workforce of the future from within. By using our proprietary Career Opportunity Platform to develop education and learning programs that work in the real-world, thousands of employees at those companies have gained the skills, knowledge, and guidance they need to build a brighter future for themselves and their families—all without paying for tuition or career services on their own.
Guild is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you have a disability or special need that requires accommodation, please let your recruiter know. We currently offer the following benefits:
- Access to low-cost, high-quality health care options through Cigna and Kaiser (due to coverage limitations, Kaiser is currently only available in CA & CO)
- Access to a 401k to help save for the future
- Open vacation policy for employees to rest and recharge
- 8 days of fully-paid sick leave, to take the time to heal and or recover
- Family-friendly benefits, including 12 weeks of parental leave for non-birthing parents and 18-20 weeks for birthing parents; 4-week ramp-up period for when employees return from a leave of 6 weeks or more; as well as employer-paid short-term and long-term disability, employer-sponsored life insurance, fertility and caregiving benefits.
- Well-rounded wellness benefits including free and low cost mental health resources and financial wellbeing support services
- Education benefits and tuition assistance to help your future development and growth
PRIVACY NOTICE
I understand that I am applying for employment with Guild and am being asked to provide information in connection with my application. I further understand that Guild gathers this information through a third-party service provider and that Guild may use other service providers to assist in the application process. Guild may share my information with such third-party service providers in connection with my application and for the start of employment.