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Machine Learning Developer Advocate Jobs (NOW HIRING)

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week Assignment Type: Direct Hire Pay: $115,000-$140,000 annually, plus a short-term incentive and long-term incentive.

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week Assignment Type: Direct Hire Pay: $115,000-$140,000 annually, plus a short-term incentive and long-term incentive.

Diamondback Energy, Inc.

The Machine Learning (ML) Developer is the first dedicated ML Development role in the department and is responsible for establishing the development practices, standards, and platform foundations ...

Ports North

Machine Learning Developer

Jersey City, NJ · On-site

$60 - $70/hr

We have partnered with our client in their search for a Machine Learning Python Developer for a contract to hire opportunity in Jersey City, NJ. Responsibilities * Lead the end-to-end design ...

New

Neura Market

As a Senior Developer Advocate for AI and Machine Learning, you\'ll be the voice of Databricks in the Bay Area AI community and a crucial link between our engineering teams and the global community ...

IntelliPro

Developer Advocate

Sunnyvale, CA · On-site

Use this data to prioritize feature requests and bug fixes. • Align developer advocacy ... Machine Learning. • DevOps-minded engineer with recent experience touching a terminal or a ...

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Machine Learning Developer Advocate information

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$11K

$86.3K

$170.5K

How much do machine learning developer advocate jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning developer advocate in the United States is $86,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a machine learning developer advocate?

Machine Learning Developer Advocates are professionals who serve as a bridge between machine learning product teams and the developer community. They help developers understand and use machine learning tools, frameworks, and platforms by creating educational content, providing technical support, and gathering feedback from users. Their role involves public speaking, writing tutorials, contributing to open-source projects, and engaging with developers at conferences and online forums. By doing so, they ensure that user needs are communicated to product teams and that developers are empowered to build effective machine learning solutions.

How does a machine learning developer advocate typically collaborate with both engineering teams and the developer community?

A Machine Learning Developer Advocate acts as a bridge between internal engineering teams and the broader developer community. On a daily basis, they gather feedback from developers using the company’s ML tools, relay this input to product and engineering teams, and help influence feature development. They also create technical content, host workshops, and provide hands-on support to help others succeed with ML technologies. This dual focus ensures the company’s products stay developer-friendly while fostering a vibrant, engaged community.

What are the key skills and qualifications needed to thrive as a machine learning developer advocate, and why are they important?

To thrive as a Machine Learning Developer Advocate, you need a strong background in machine learning concepts, programming (especially Python), and experience with popular ML frameworks, often supported by a technical degree. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and cloud ML platforms, as well as experience with public speaking or technical writing, is typical. Exceptional communication, community engagement, and collaboration skills help you connect with developers and translate complex topics to diverse audiences. These skills and qualities are crucial for effectively promoting ML technologies, empowering developer communities, and bridging the gap between product teams and end users.

What are popular job titles related to Machine Learning Developer Advocate jobs?

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

Infographic showing various Machine Learning Developer Advocate job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $86,320 per year, or $41.5 per hour.

Machine Learning Developer

New York, NY • On-site

Elliot Partnership
See more jobs at Elliot Partnershipexternal

Full-time

Re-posted 4 days ago

Job description

 OVERVIEW:
Machine learning developers work closely with researchers to creatively apply their knowledge of machine learning and software engineering to design, build, and maintain systems for high-performance, large-scale knowledge discovery in financial data. Machine learning developers have the opportunity to be part of an inclusive, collaborative, and engaging working environment.
WHAT YOU'LL DO DAY-TO-DAY:
Specific responsibilities include designing, implementing, testing, and documenting modules for all stages of the pipeline from data to predictions, assembling these modules into end-to-end systems, and interacting with researchers to achieve highly productive experimentation, model construction, and validation.
WHO WE'RE LOOKING FOR:
• Successful candidates will have a strong knowledge of software engineering, machine learning, and open-source machine learning ecosystems. A track record of building and applying high-performance machine learning systems is desired
• While an impressive record of academic achievement is a plus, we welcome outstanding candidates from diverse academic disciplines and backgrounds.

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