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Vice President Machine Learning Jobs in Colorado

Amplifire

VP, Technology

Boulder, CO · On-site

$200K - $230K/yr

Description: VP, Technology Department: Technology Reports To: EVP, Product Location: Remote (US ... and machine learning capabilities. Delivery, Operations & Security * Improve delivery ...

Staff Financial Group

VP of Finance

Denver, CO

$225K - $275K/yr

VP of Finance Who: A strong, stable, and rapidly growing manufacturing organization is seeking a ... If you're interested in learning more about this opportunity or would like to discuss your ...

NorthPoint Search Group

VP of Finance

Denver, CO · On-site

$225K - $275K/yr

VP of Finance - Manufacturing Apply now - emial your resume to [email protected] Apply online Who ... If you're interested in learning more about this opportunity or would like to discuss your ...

HCA HealthOne

Regional VP Human Resources

Denver, CO

$196K - $313.87K/yr

Work with Group VP of HR and all HR Centers of Excellence to develop and modify strategies and programs to more effectively meet the needs of businesses and align with the corporate culture (learning ...

Casa Bonita

VP, People & Talent Strategy

Lakewood, CO · On-site

$150K - $200K/yr

VP, People & Talent Strategy Casa Bonita Overview: For 52 years, Casa Bonita has been synonymous ... Building a culture of learning by assessing and developing training programs across the ...

Agile Partnering

SVP of Sales

Boulder, CO · On-site

... Senior Vice President of Sales . A top-rated Google Marketing Platform Partner, our client is a ... To create a sales machine that generates substantial and predictable top-line revenue growth ...

Tallgrass

Vice President-Safety

Lakewood, CO · On-site

The Vice President of Safety will lead the strategic direction, execution, and continuous ... Lead incident investigation, response and learning for serious incidents and high-potential events ...

Danone

VP, RGM & Sales Strategy

Louisville, CO · Hybrid

$310K - $340K/yr

About the Job The Vice President of RGM & Strategy will lead a newly combined team of pricing ... forward AI learning models to support RGM insights and analytics. About You Qualifications

Danone

VP, RGM & Sales Strategy

Louisville, CO · On-site

$310K - $340K/yr

The VP will partner closely with Sales, Marketing, and Finance to translate category and channel ... forward AI learning models to support RGM insights and analytics. About You Qualifications

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All JobsVice President Machine Learning JobsVice President Machine Learning Jobs in Colorado

Vice President Machine Learning information

See Colorado salary details

$37.3K

$120.6K

$190.9K

How much do vice president machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for vice president machine learning in Colorado is $120,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $150,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Vice President of Machine Learning, and why are they important?

To thrive as a Vice President of Machine Learning, you need advanced expertise in machine learning, data science, and computer science, typically backed by a master's or PhD and extensive industry experience. Proficiency with platforms like TensorFlow, PyTorch, cloud computing services, and experience managing large-scale AI projects are crucial, along with a track record in leading technical teams. Exceptional leadership, strategic vision, and strong communication skills set outstanding candidates apart by enabling effective cross-functional collaboration and innovation. These skills are vital for driving organizational AI strategy, ensuring technical excellence, and delivering scalable business impact.

What are some common challenges faced by a Vice President of Machine Learning when leading cross-functional teams?

A Vice President of Machine Learning often encounters challenges such as aligning diverse teams on technical priorities, managing expectations across product, engineering, and business units, and ensuring effective communication between stakeholders with varying levels of technical expertise. Balancing the need for innovation with practical business objectives and resource constraints is also a frequent challenge. Cultivating a collaborative culture and fostering ongoing professional development are key to overcoming these hurdles and driving successful outcomes.

What does a Vice President of Machine Learning do?

A Vice President of Machine Learning leads and oversees the strategic direction of machine learning initiatives within an organization. They manage teams of data scientists, engineers, and researchers to develop and deploy AI-driven solutions that support business goals. This role involves collaborating with other executives, setting research agendas, ensuring best practices, and staying updated with the latest advancements in the field. The VP also plays a key role in resource allocation, talent acquisition, and scaling machine learning systems across the company.

What is the difference between Vice President Machine Learning vs Director of Machine Learning?

AspectVice President Machine LearningDirector of Machine Learning
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in MLSimilar educational background, less senior experience needed
Work EnvironmentStrategic leadership, cross-departmental collaborationProject management, team oversight
Employer & Industry UsageLarge tech firms, enterprises with AI focusTech companies, startups, research labs
Search & Comparison IntentHigh overlap in responsibilities and qualificationsRelated but more operational role

The Vice President Machine Learning typically holds a senior leadership role focused on strategic planning and cross-functional collaboration, while the Director of Machine Learning manages day-to-day projects and teams. Both roles require advanced degrees and experience in machine learning, but the VP is more involved in high-level decision-making and industry strategy.

What are the most commonly searched types of Machine Learning jobs in Colorado? The most popular types of Machine Learning jobs in Colorado are:
What are popular job titles related to Vice President Machine Learning jobs in Colorado? For Vice President Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Vice President Machine Learning jobs in Colorado look for? The top searched job categories for Vice President Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Vice President Machine Learning jobs? Cities in Colorado with the most Vice President Machine Learning job openings:
Vice President Machine Learning jobs near you
VP, Technology

VP, Technology

Amplifire

Boulder, CO • On-site

$200K - $230K/yr

Full-time

PTO

Posted 7 days ago

Job description

Description:

VP, Technology

Department: Technology
Reports To: EVP, Product
Location: Remote (US only)

About Amplifire

Amplifire is a rapid-growth, private equity-backed company transforming how people learn and retain knowledge. Our platform applies breakthroughs in brain science and AI to detect and correct knowledge gaps—helping people master learning faster, retain knowledge longer, and perform better in their jobs. We serve high-stakes industries including healthcare, accounting, professional services, government, and education—where better learning directly improves outcomes.

The Role

We’re hiring a VP, Technology to lead, build, and transform how software is created at Amplifire in an AI-first environment.

This is a hands-on leadership role for an executive who can set technical direction while also diving into systems, architecture, engineering practices, and operations. The organization is at an important stage of scaling platform capabilities, maturing engineering processes, and expanding the use of AI across the software development lifecycle and in the product platform.

You will own the Technology organization end-to-end, including Engineering, DevOps, QA, and Information Security. You will be responsible for how teams are structured and how systems are designed, built, deployed, and maintained in production. Partnering closely with Product and executive leadership, you will translate company strategy into clear technical direction and reliable execution.

AI is central to both our product strategy and our internal engineering workflows. We are looking for a leader who can operationalize AI adoption across coding, testing, deployment, and day-to-day development processes—driving measurable improvements in how software is built and delivered.

Requirements:

What You’ll Do

Technology Org Leadership

  • Lead and evolve Engineering, DevOps, QA, and Information Security as a unified technology organization with clear ownership and accountability across teams.
  • Build scalable operating rhythms, delivery processes, and engineering standards.
  • Coach and develop technical leaders while staying engaged in critical engineering and operational challenges.
  • Communicate technical strategy, priorities, and tradeoffs effectively with executive leadership, the Board, and clients as needed.

Strategy & Architecture

  • Maintain exceptional scalability, reliability, and information security posture and cost efficiency. This is a platform with millions of active users supporting highly regulated healthcare and government enterprises.
  • Own and drive technical strategy and architecture to support Amplifire’s business goals and growth plans, including application, infrastructure, and AI systems.
  • Evaluate tradeoffs explicitly and make clear decisions that evolve shared architectural patterns.

AI Platform Engineering

  • Accelerate adoption of AI-first Engineering and DevOps practices across the organization.
  • Define practical patterns for AI-assisted development, evaluation, deployment, and iteration.
  • Embed AI into both product capabilities and internal engineering workflows, including coding, testing, debugging, and operational processes.
  • Partner with Product and Data teams to evolve AI platform strategy, RLHF, benchmarking, RAG architecture, evaluation frameworks, and machine learning capabilities.

Delivery, Operations & Security

  • Improve delivery predictability, engineering velocity, and release quality.
  • Establish modern DevOps practices, including CI/CD, observability, and infrastructure automation.
  • Define and maintain exceptional site reliability standards (uptime, latency, incident response, and recovery).
  • Drive a culture of operational excellence through proactive monitoring and continuous improvement.
  • Maintain a robust culture and infrastructure that meets the exacting needs of our clients and maintains clean FedRAMP and SOC II Type 2 certifications.

What We’re Looking For

  • Proven experience leading and scaling high-performing Technology organizations (Engineering, DevOps, QA, and Information Security) especially in growth stage companies with enterprise clients.
  • Strong technical background with the ability to guide architecture and system design decisions.
  • Track record of delivering complex, high-impact software systems in production.
  • Experience driving organizational transformation (e.g., AI adoption, platform evolution, scaling teams).
  • Strong operational mindset with accountability for uptime, reliability, and customer experience.
  • Ability to operate through influence and clarity, not hierarchy.
  • Expertise with AI/ML systems, data platforms, and AI-assisted development practices.

Technical Environment

  • Core Application Stack: Java, Spring / Spring Boot, Tomcat, React, JavaScript, HTML/CSS
  • AI & LLM Platform: AWS Bedrock, OpenAI GPT, Anthropic Claude (Haiku, Sonnet, Opus)
  • Cloud & Data Infrastructure: AWS (Aurora PostgreSQL, S3, CloudWatch, IAM)
  • Developer Tooling & Workflow: GitHub, CI/CD pipelines, GitHub Copilot Enterprise, OpenAI Codex, Claude Code

Compensation & Benefits

  • Salary range: $200K - $230K (commensurate with experience)
  • Comprehensive benefits package
  • Flexible PTO