As a Developer Evangelist, you will promote our main products, Activeloop Hub and Activeloop Platform, a software product for unstructured data management, specifically designed for machine learning ...
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As a Developer Evangelist, you will promote our main products, Activeloop Hub and Activeloop Platform, a software product for unstructured data management, specifically designed for machine learning ...
REI Systems is seeking an experienced AI Evangelist & Chief Architect to provide strategic and ... The ideal candidate combines deep technical expertise in Generative AI, machine learning ...
REI Systems is seeking an experienced AI Evangelist & Chief Architect to provide strategic and ... The ideal candidate combines deep technical expertise in Generative AI, machine learning ...
Distinguished Machine Learning Engineer
Mclean, VA · On-site +1
Distinguished Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you ... Evangelize best practices in all aspects of the engineering and modeling lifecycles * Help recruit ...
Distinguished Machine Learning Engineer
Mclean, VA · On-site +1
Distinguished Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you ... Evangelize best practices in all aspects of the engineering and modeling lifecycles * Help recruit ...
Staff Machine Learning Engineer
Mclean, VA · On-site +1
Staff Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be ... Evangelize best practices in all aspects of the engineering and modeling lifecycles * Help recruit ...
Staff Machine Learning Engineer
Mclean, VA · On-site +1
Staff Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be ... Evangelize best practices in all aspects of the engineering and modeling lifecycles * Help recruit ...
Staff Machine Learning Engineer
Plano, TX · On-site +1
Staff Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be ... Evangelize best practices in all aspects of the engineering and modeling lifecycles * Help recruit ...
Staff Machine Learning Engineer
Plano, TX · On-site +1
Staff Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be ... Evangelize best practices in all aspects of the engineering and modeling lifecycles * Help recruit ...
Distinguished Machine Learning Engineer
Plano, TX · On-site +1
Distinguished Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you ... Evangelize best practices in all aspects of the engineering and modeling lifecycles * Help recruit ...
Distinguished Machine Learning Engineer
Plano, TX · On-site +1
Distinguished Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you ... Evangelize best practices in all aspects of the engineering and modeling lifecycles * Help recruit ...
Staff Machine Learning Engineer
Plano, TX · On-site
Staff Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be ... Evangelize best practices in all aspects of the engineering and modeling lifecycles * Help recruit ...
Staff Machine Learning Engineer
Plano, TX · On-site
Staff Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be ... Evangelize best practices in all aspects of the engineering and modeling lifecycles * Help recruit ...
Machine Learning Infrastructure Engineer
San Mateo, CA · On-site
$197K - $233K/yr
You will work alongside machine learning researchers, computational scientists, and engineers to ... An evangelist for lazy execution and caching. You dislike unnecessary work and look for principled ...
Machine Learning Infrastructure Engineer
San Mateo, CA · On-site
$197K - $233K/yr
You will work alongside machine learning researchers, computational scientists, and engineers to ... An evangelist for lazy execution and caching. You dislike unnecessary work and look for principled ...
Machine Learning Infrastructure Engineer
San Mateo, CA · On-site
$197K - $233K/yr
You will work alongside machine learning researchers, computational scientists, and engineers to ... An evangelist for lazy execution and caching. You dislike unnecessary work and look for principled ...
Machine Learning Infrastructure Engineer
San Mateo, CA · On-site
$197K - $233K/yr
You will work alongside machine learning researchers, computational scientists, and engineers to ... An evangelist for lazy execution and caching. You dislike unnecessary work and look for principled ...
Machine Learning Infrastructure Engineer
San Mateo, CA · On-site +1
$197K - $233K/yr
You will work alongside machine learning researchers, computational scientists, and engineers to ... An evangelist for lazy execution and caching. You dislike unnecessary work and look for principled ...
Machine Learning Infrastructure Engineer
San Mateo, CA · On-site +1
$197K - $233K/yr
You will work alongside machine learning researchers, computational scientists, and engineers to ... An evangelist for lazy execution and caching. You dislike unnecessary work and look for principled ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML ... As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
Machine Learning Evangelist information
See salary details
$5.29 - $9.27
0% of jobs
$9.27 - $13.24
0% of jobs
$13.24 - $17.22
0% of jobs
$17.22 - $21.20
0% of jobs
$21.20 - $25.17
0% of jobs
$25.17 - $29.15
0% of jobs
$29.15 - $33.13
0% of jobs
$33.13 - $37.11
0% of jobs
$37.11 - $41.08
0% of jobs
$41.08 - $45.06
0% of jobs
$46.06 is the 25th percentile. Wages below this are outliers.
$45.06 - $49.04
100% of jobs
$5
$49
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:
Developer Evangelist
Mountain View, CA
Activeloop
• Software Development • 11 - 50 employees11 - 50 employees
Full-time
Re-posted 6 days ago
Job description
As a Developer Evangelist, you will promote our main products, Activeloop Hub and Activeloop Platform, a software product for unstructured data management, specifically designed for machine learning engineers, and will also promote the idea of open datasets to foster a community around that.
You will share your knowledge and experience on Hub and Activeloop-empowered cutting-edge technologies with the AI developer community and encourage developers to host their open datasets on TensorBay. Your work will foster a user community inspired by Activeloop Hub/Platform and the spirit of open datasets, empowering AI developers to better utilize our product to bring transformational changes to AI.
You will also contribute to the open datasets community by connecting with other AI developers and sharing your work about open datasets on conference panels, meetups, articles, and blogs. You will encourage more forces to join the open datasets community and openly share their datasets and will also collaborate with those who want to create greater value via better utilizing open datasets.
Our focus is on generating awareness about Activeloop, contributing to the open-source ecosystem, and enabling others to become evangelists promoting open datasets spirits.
1. Raise awareness about Activeloop and Hub among developer communities through writing, tutorials, articles, and leading conversations both in-person and via online platforms.
2. Educate and guide AI developers to embrace and unleash the power of Hub to manage unstructured data through writing tutorials and blogs, as well as hosting webinars, meetups, and promotional events.
3. Encourage the AI community to publish open datasets and grow the open dataset community.
4. Reach out to AI developers who want to utilize open datasets to generate value and inspire them to manage their datasets on Hub.
5. Channel community feedback to the Product and Engineering departments based on your findings.
6. Cooperate with the Marketing Department to execute evangelism campaigns.
About Activeloop
Sourced by ZipRecruiter
Industry
Software development
Company size
11 - 50 Employees
Headquarters location
Mountain View, CA, US
Year founded
2018