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Root Learning Jobs (NOW HIRING)

Root Access Inc

Machine Learning Engineer

New York, NY · On-site

Root Access is an applied AI company building developer tools. We help mission-critical hardware ... The Machine Learning Engineer will be responsible for designing and developing machine learning ...

Willmeng Construction

Learning Manager

Phoenix, AZ · On-site

Conduct comprehensive Learning Needs Analyses (LNA) to identify performance gaps, root causes, and business outcomes. * Design, develop, deliver, and evaluate learning programs that enhance employee ...

Nouria

Learning Design Specialist

Worcester, MA · On-site

This role reports to the Manager of Learning Implementation. In this position, you design and ... Skilled in root-cause analysis, solution development, and data-informed decision-making.

Simmons Foods

Learning Impact Partner

Rogers, AR · On-site

The Learning Impact Partner is the connective tissue between learning delivery and business results ... Excellent problem-solving skills with a focus on root-cause analysis. Comfortable working with data ...

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How much do root learning jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for root learning in the United States is $40.70, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $52.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Learning Experience Designer (Root Learning), and why are they important?

To thrive as a Learning Experience Designer, you need expertise in instructional design, adult learning principles, and curriculum development, often supported by a degree in education or a related field. Familiarity with e-learning authoring tools (such as Articulate Storyline or Adobe Captivate), learning management systems (LMS), and possibly certifications like CPLP or ATD are typically required. Creativity, strong communication, and collaboration skills help designers create engaging, learner-centered experiences and work effectively with stakeholders. These skills ensure the development of impactful learning solutions that drive organizational performance and learner engagement.

What is the difference between Root Learning vs Instructional Designer?

AspectRoot LearningInstructional Designer
CredentialsTypically requires training in learning theories, instructional design, or related certificationsRequires degrees or certifications in instructional design, education, or related fields
Work EnvironmentOften works in corporate training, e-learning development, or educational settingsWorks in educational institutions, corporate training, or e-learning development
Industry UsageCommonly used in corporate training and development sectorsWidely used across education, corporate, and government sectors

Root Learning focuses on creating engaging learning experiences often through visual storytelling and innovative methods, while Instructional Designers develop structured educational programs and materials based on pedagogical principles. Both roles aim to enhance learning but differ in approach and scope.

What jobs pay 2000 a day?

High-paying jobs that can earn $2,000 or more per day include specialized roles such as surgeons, anesthesiologists, corporate lawyers, and senior executives. These positions typically require advanced education, extensive experience, and often involve high levels of responsibility and skill. Freelance consultants, project managers in large industries, and certain sales roles with commissions can also reach this earning level depending on contracts and performance.

What jobs pay $400 an hour?

High-paying jobs that can reach $400 an hour often include specialized roles such as experienced surgeons, anesthesiologists, corporate lawyers, and certain executive consultants. These positions typically require advanced education, extensive experience, and often involve high levels of skill, certification, or expertise in their fields.

What is the most peaceful job to have?

A role in root learning or related fields often involves quiet, focused work, such as research, data analysis, or instructional design, which can be considered peaceful due to low stress and minimal physical activity. These jobs typically require strong attention to detail, patience, and sometimes certification or specialized knowledge, and they often offer flexible schedules and calm work environments.

How does a Root Learning Consultant typically collaborate with clients and internal teams during a project?

As a Root Learning Consultant, you’ll work closely with client stakeholders to understand their organizational challenges and learning objectives. Collaboration involves regular meetings to gather insights, co-develop learning solutions, and iterate on deliverables based on feedback. Internally, you’ll partner with instructional designers, graphic artists, and project managers to ensure that the final learning experience aligns with both client needs and Root Learning’s standards. Strong communication and project management skills are essential, as you'll often bridge the gap between the client’s vision and the creative team’s execution.

What are Root Learning jobs?

Root Learning jobs typically involve creating educational materials and visual aids that simplify complex business processes, strategies, or changes within organizations. Professionals in these roles use visual storytelling, graphics, and interactive learning tools to help employees understand and engage with important information. Root Learning specialists often work with organizations during times of change, such as during mergers, new system implementations, or cultural shifts, to ensure everyone is aligned and informed. These roles require skills in communication, instructional design, and visual thinking.

Is Root a good company to work for?

Root Learning is a company specializing in corporate training and learning solutions. Employee experiences vary, but the company is known for a collaborative environment and opportunities for professional development. Prospective employees should research current reviews and company culture to assess fit.
More about Root Learning jobs
What states have the most Root Learning jobs? States with the most job openings for Root Learning jobs include:
What job categories do people searching Root Learning jobs look for? The top searched job categories for Root Learning jobs are:
Root Learning jobs near you
Infographic showing various Root Learning job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $84,648 per year, or $40.7 per hour.
Lead Machine Learning Engineer, Lifetime Value

Lead Machine Learning Engineer, Lifetime Value

Root Inc.

Remote

$164K - $205K/yr

Full-time

Posted 22 days ago

Job description

At Root, we're on a mission to improve the lives of our customers by offering better insurance solutions. We challenge ourselves to think differently in order to reimagine insurance to make it smarter, more equitable, and a better experience for all.
We strive to "unbreak" the archaic insurance industry by using data and technology in innovative new ways. We believe we must be steadfast in our commitments to research, experimentation, and disciplined data-driven decision making in order to build products our customers love.
The Opportunity
We believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry.
Root is seeking a Lead Machine Learning Engineer I to help build the systems and workflows that power our customer lifetime value modeling ecosystem.
In this role, you will partner closely with data scientists, engineers, and business teams to build scalable machine learning systems that support high-impact decision-making across Marketing, Finance, Product, and Customer Experience. You will help accelerate the path from experimentation to production while improving the reliability and operational maturity of Root's ML ecosystem.
This role focuses on building the infrastructure, tooling, and operational patterns that allow machine learning systems to scale reliably in production. You will help shape the foundations that enable statistical models, simulations, and forecasts to drive measurable business impact across the organization.
The ideal candidate is a machine learning engineer who enjoys building high-leverage systems, improving how technical teams work, and enabling machine learning to operate reliably at scale.
Root is a "work where it works best" company, meaning we will support you working in whatever location works best for you across the U.S.
Salary Range: $164,000 - $205,000 (Eligible for Competitive Bonus & Equity Offering)
How You Will Make an Impact
  • Build and improve the systems that power customer lifetime value modeling, from development and deployment through monitoring and production support.
  • Partner with data scientists to productionize statistical models, simulations, and forecasting workflows that support decision-making across the business.
  • Accelerate the path from research to production through scalable infrastructure, reliable workflows, and reusable tooling.
  • Improve the ML development experience by building better operational patterns and advancing production-ready ML practices.
  • Develop tools and services that help stakeholders evaluate model performance, understand business impact, and trust model outputs in production.
  • Collaborate with technical and business partners to solve high-value problems and improve the reliability and scalability of ML systems.
  • Share best practices through mentorship, documentation, and clear communication around technical decisions, tradeoffs, and operational considerations.

What You Will Need to Succeed
  • BS in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • 5+ years of experience designing, building, deploying, and maintaining machine learning systems and ML model pipelines in partnership with data scientists.
  • Strong Python and software engineering fundamentals, with the ability to build maintainable ML systems and production-quality code.
  • Experience building and operating production ML systems, including deployment, monitoring, debugging, and workflow orchestration.
  • Ability to design reproducible systems with clear lineage, versioning, and operational visibility across complex ML workflows.
  • Comfort working in ML systems with interconnected components, simulation-driven logic, and embedded business rules.
  • Strong judgment around model evaluation, code quality, system reliability, and maintainable engineering tradeoffs.
  • Experience with cloud-based ML infrastructure and data platforms such as AWS, GCP, or Azure.
  • Experience with infrastructure as code, such as Terraform.
  • Clear communication skills and the ability to explain technical tradeoffs to both technical and non-technical audiences.

Nice to Have
  • MS or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • Familiarity with customer lifetime value forecasting, simulation workflows, or Forecast vs. Actual analysis.
  • Experience with insurance or regulated financial products.
  • Exposure to ML and data tooling, orchestrators, and platforms such as MLflow, Airflow, Dagster, Snowflake, Databricks, dbt, and Spark
  • Experience building shared ML infrastructure, developer tooling, or reusable systems that improve data science productivity.

As part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. We're happy to talk it through.
Please see our Privacy Notice available HERE for more information on how we process your personal data.
Consistent with the Americans with Disabilities Act (ADA) and the Civil Rights Act of 1964, it is the policy of Root to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for Root. The policy regarding requests for reasonable accommodation applies to all aspects of the hiring process. If reasonable accommodation is needed, please contact recruiting@joinroot.com.

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