ZipRecruiter

Log In

1

Machine Learning Manager Jobs in Colorado (NOW HIRING)

AppFolio

Staff Machine Learning Engineer

Denver, CO · On-site

$200 - $250/hr

Strong Python, Docker, dependency management, and CI/CD for AI workloads. * Experience with RAG and agents (LangChain, LangGraph, modern RAG patterns). * Demonstrated cost optimization for AI ...

Code, LLC

Director of AI & ML

Denver, CO · On-site

Team Management: Lead, mentor, and inspire a cross-functional team of data scientists, machine learning engineers, and AI specialists. Foster a culture of innovation, collaboration, and continuous ...

Code, LLC

Director of AI & ML

Denver, CO

Team Management: Lead, mentor, and inspire a cross-functional team of data scientists, machine learning engineers, and AI specialists. Foster a culture of innovation, collaboration, and continuous ...

Bet365

Data Science Team Lead/Manager

Denver, CO · On-site

... and executing machine learning solutions, while simultaneously mentoring and growing a high ... Excellent stakeholder management is paramount. You will work as a key collaborative partner ...

ARKA Group

Staff AI/ML Engineering Manager (TS/SCI) {S}

Aurora, CO · On-site

$160K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Actively participate in the end-to-end machine learning lifecycle, contributing high-quality, well ... Experience directly managing AI/ML engineers, including performance management cycles * Experience ...

previous page

Showing results 41-60

All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Colorado

Machine Learning Manager information

See Colorado salary details

$53.6K

$85.9K

$124.1K

How much do machine learning manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning manager in Colorado is $85,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $97,300.00 per year, depending on experience, location, and employer.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

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 Machine Learning Manager jobs in Colorado?

For Machine Learning Manager jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Machine Learning Manager jobs in Colorado look for?

The top searched job categories for Machine Learning Manager jobs in Colorado are:

What cities in Colorado are hiring for Machine Learning Manager jobs?

Cities in Colorado with the most Machine Learning Manager job openings:

Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $85,918 per year, or $41.3 per hour.

Staff Machine Learning Engineer

AppFolio

Denver, CO • On-site

$200 - $250/hr

Other

Re-posted 13 days ago

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

184th of 244 rated software companies

Job description

Overview

Build and operate the ML platform that powers AppFolio’s AI-native Real Estate platform, ensuring scalable training, inference, and cost‑efficient operations across AWS and multi‑provider LLMs.

Responsibilities
  • Design and operate AppFolio's ML infrastructure on AWS, including ECS, SageMaker, GPU fleets, model serving, autoscaling, and cost controls.
  • Optimize AI cost across all applications through routing, caching, batch vs. real‑time processing, model size selection, and inference economics.
  • Maintain reliable multi‑provider LLM access across Google, OpenAI, and Anthropic, with fallbacks and abstractions.
  • Build the training and fine‑tuning stack for small language models, including data pipelines, GPU orchestration, and evaluation.
  • Productionize research prototypes with SLOs, on‑call rotations, and observability.
  • Operate AppFolio's AI safety and authorization layer, including guardrails on AWS, scoped tool permissions, and human‑in‑the‑loop gates.
Qualifications
  • Experience building and operating production ML infrastructure at scale on AWS (ECS, SageMaker, GPUs, autoscaling, cost controls).
  • Production experience with model serving for LLMs and custom models, understanding quantization, batching, and routing.
  • Direct experience integrating with Google Vertex/Gemini, OpenAI, and Anthropic APIs in production.
  • Strong Python, Docker, dependency management, and CI/CD for AI workloads.
  • Experience with RAG and agents (LangChain, LangGraph, modern RAG patterns).
  • Demonstrated cost optimization for AI workloads without regressing quality or latency.
  • Hands‑on experience operating AI guardrails, scoped tool permissions, and authorization layers.
  • Systems thinker, production builder, owner‑operator, strong desire to move fast, collaborative, and reliable mindset.
Nice to Have
  • Experience training small language models for production use.
  • GPU performance tuning (vLLM, TensorRT, Triton, or similar).
  • Prior staff‑level role in a company with a significant AI infra footprint.
  • Experience with ontology‑driven systems or knowledge graphs supporting AI applications.
  • Contributions to open‑source ML infrastructure or LLM tooling.
Location

Remote (San Francisco, CA; Denver, CO; Santa Barbara, CA; San Diego, CA)

Compensation

Base salary $200,000 – $250,000 per year. Total rewards include benefits and potential discretionary bonuses.

Equal Opportunity Statement

At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our culture. AppFolio is a proud Equal Opportunity Employer, and we welcome individuals of any race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, ancestry, physical or mental disability, or veteran status.

#J-18808-Ljbffr

What AppFolio employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply