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Machine Learning Evangelist Jobs (NOW HIRING)

SeatGeek

Senior Machine Learning Engineer

$145K - $209K/yr

Work across team and discipline boundaries to evangelize ML capabilities and build them into SeatGeek's core product offerings What you have * Experience building and deploying machine learning ...

Warnerbros

Senior Machine Learning Engineer

Bellevue, NE

$99K - $135K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... Establish and evangelize patterns that other engineers adopt; anticipate risks and failure modes ...

Warnerbros

Senior Machine Learning Engineer

Burbank, CA

$111K - $153K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... Establish and evangelize patterns that other engineers adopt; anticipate risks and failure modes ...

Warnerbros

Senior Machine Learning Engineer

Atlanta, GA

$100K - $138K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... Establish and evangelize patterns that other engineers adopt; anticipate risks and failure modes ...

Mat3ra

Community Evangelist

San Francisco, CA · On-site +1

$100K - $140K/yr

... with machine learning Benefits Company Benefits Include * Health Care Plan (Medical, Dental & Vision) * Retirement Plan (401k, IRA) * Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off ...

Mat3ra

Community Evangelist

San Francisco, CA · On-site

$100K - $140K/yr

... with machine learning Benefits Company Benefits Include * Health Care Plan (Medical, Dental & Vision) * Retirement Plan (401k, IRA) * Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off ...

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Machine Learning Evangelist information

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How much do machine learning evangelist jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for machine learning evangelist in the United States is $48.56, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $48.80 per hour, depending on experience, location, and employer.

What is a machine learning evangelist?

A Machine Learning Evangelist is a professional who promotes the adoption and understanding of machine learning technologies within organizations and the broader tech community. They often act as a bridge between technical teams and non-technical stakeholders, helping to communicate the value and potential applications of machine learning. Their role includes giving presentations, creating educational content, advocating for best practices, and fostering a community around machine learning tools and frameworks. Ultimately, they help drive innovation and encourage the responsible use of AI and machine learning.

What skills and qualifications are needed to thrive as a machine learning evangelist?

To excel as a Machine Learning Evangelist, you need a deep understanding of machine learning concepts, programming expertise (often in Python or R), and a relevant degree in computer science or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and experience with public speaking or technical writing is highly valuable. Exceptional communication, storytelling, and networking skills help you effectively engage both technical and non-technical audiences. These skills are crucial for driving adoption, building communities, and bridging the gap between ML technology and its users.

How does a machine learning evangelist typically collaborate with technical and non-technical teams within an organization?

A Machine Learning Evangelist acts as a bridge between technical experts, such as data scientists and engineers, and non-technical stakeholders like product managers, marketing teams, and executives. They translate complex ML concepts into accessible language, advocate for adoption, and help teams understand the practical business value of machine learning solutions. This role often involves organizing workshops, presenting at conferences, and creating educational content to foster a culture of innovation and collaboration across departments.

What are popular job titles related to Machine Learning Evangelist jobs?

For Machine Learning Evangelist jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Evangelist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $101,000 per year, or $48.6 per hour.

Senior Machine Learning Engineer

Remote

SeatGeek
Software Development • 201 - 500 employees
Learn more about SeatGeekexternal

$145K - $209K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

SeatGeek rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we're simplifying and modernizing the ticketing industry.
SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we're missing is you.
You will join a group that bridges the gap between research and production-ready ML systems. Your work will directly impact how millions of fans discover and purchase tickets, how we optimize pricing and inventory, how we personalize the SeatGeek experience, and how we prevent fraud across our marketplace. You will design and build ML infrastructure and services that operate at scale, turning complex algorithms into reliable, fast, and maintainable systems that drive business value.
What you'll do
  • Design, build, and deploy machine learning models and systems that operate reliably at scale in production
  • Build and maintain ML infrastructure including feature stores, model serving platforms, and real-time inference pipelines
  • Embed on a product engineering team and collaborate closely with data scientists, PMs ,and Software Engineers to translate research and experimental models into production-ready systems
  • Solve complex technical challenges unique to the ticketing industry, including real-time pricing optimization, demand forecasting, and fraud detection
  • Develop automated ML pipelines for training, validation, deployment, and monitoring using MLOps best practices
  • Work across team and discipline boundaries to evangelize ML capabilities and build them into SeatGeek's core product offerings
What you have
  • Experience building and deploying machine learning systems in production environments. We'll be interested in hearing about the systems you've built, the scale you've operated at, and the business impact you've driven
  • 4+ years of experience in software engineering with at least 2+ years focused on machine learning systems and MLOps
  • Strong programming skills in Python and experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, or similar
  • Experience with cloud platforms and containerization technologies
  • Understanding of both batch and real-time ML systems, including experience with model serving, A/B testing, and performance monitoring
  • Passion for software craftsmanship and product. You have well-considered opinions about how systems should be built, and hold yourself and your code to a high standard
  • A product mindset. You think beyond the model accuracy, about user experience, business impact, system reliability, and what makes a great product tick
  • Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others
Our stack
You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.
  • Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core
  • Datastores: Postgres, MemcachedRedis, Elasticsearch
  • Cloud: AWS (SageMaker, Redshift, ECS), Airflow for orchestration
  • Version control: Gitlab
  • AI Tooling: Cursor, Github Copliot, Claude Code
  • Observability: Datadog
Perks
  • Equity stake
  • Discretionary annual bonus
  • Flexible work environment, allowing you to work as many days a week in the office as you'd like or 100% remotely
  • A WFH stipend to support your home office setup
  • Unlimited PTO
  • Up to 16 weeks of fully-paid family leave
  • 401(k) matching
  • Student loan matching program
  • Health, vision, dental, and life insurance
  • Up to $25k towards family building, reproductive health services and Gender-affirming care
  • $500 per year for wellness expenses
  • Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
  • $360 per quarter to spend on tickets to live events
  • Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $145,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.
SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!
To review our candidate privacy notice, click here.
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