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Associate Artificial Intelligence Machine Learning Jobs

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Associate Artificial Intelligence Machine Learning information

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$31.5K

$133.1K

$314.5K

How much do associate artificial intelligence machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for associate artificial intelligence machine learning in the United States is $133,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $202,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Artificial Intelligence Machine Learning professional, and why are they important?

To thrive as an Associate Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, and computer science, typically with a relevant degree and familiarity with machine learning concepts. Proficiency in programming languages like Python or R, experience with frameworks such as TensorFlow or PyTorch, and knowledge of version control systems are commonly required. Strong problem-solving, analytical thinking, and effective communication skills help differentiate top performers in this role. These skills are crucial for developing accurate models, collaborating with multidisciplinary teams, and driving impactful AI solutions.

What are some common challenges faced by Associate Artificial Intelligence Machine Learning professionals in their first year, and how can they overcome them?

Associate AI/ML professionals often encounter challenges such as understanding complex datasets, adapting to rapidly evolving tools and frameworks, and bridging the gap between theoretical knowledge and practical application. Collaborating closely with senior team members, seeking mentorship, and participating in code reviews are effective ways to overcome these challenges. Additionally, staying updated with industry trends and continuously practicing model building on real-world problems can help associates gain confidence and accelerate their learning curve.

What does an Associate Artificial Intelligence Machine Learning professional do?

An Associate Artificial Intelligence Machine Learning (AI/ML) professional assists with the development, testing, and deployment of AI and machine learning models. They typically work under the supervision of senior data scientists or machine learning engineers, helping to preprocess data, select algorithms, and evaluate model performance. Their responsibilities may also include writing code, analyzing results, and supporting the integration of models into applications or systems. This entry-level role is ideal for those who have foundational knowledge in AI/ML concepts and are looking to gain practical, hands-on experience in the field.

What is the difference between Associate Artificial Intelligence Machine Learning vs Data Scientist?

AspectAssociate Artificial Intelligence Machine LearningData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in ML/AIBachelor's/Master's in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, R&D labs, startupsData-driven organizations, consulting firms, tech companies
Employer & Industry UsageAI/ML teams, product developmentData analysis, predictive modeling, business insights
Common Search & ComparisonYesYes

Associate Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often with entry-level responsibilities. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require knowledge of programming and statistics, Data Scientists typically have more advanced degrees and focus on data analysis, whereas Associate AI/ML roles are more specialized in AI/ML model development.

More about Associate Artificial Intelligence Machine Learning jobs
What cities are hiring for Associate Artificial Intelligence Machine Learning jobs? Cities with the most Associate Artificial Intelligence Machine Learning job openings:
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs? The most popular types of Artificial Intelligence Machine Learning jobs are:
What states have the most Associate Artificial Intelligence Machine Learning jobs? States with the most job openings for Associate Artificial Intelligence Machine Learning jobs include:
Infographic showing various Associate Artificial Intelligence Machine Learning job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, 1% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $133,062 per year, or $64 per hour.
Artificial Intelligence/Machine Learning (AI/ML) Engineer

Artificial Intelligence/Machine Learning (AI/ML) Engineer

Redhorse Corporation

Falls Church, VA โ€ข On-site

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We're looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.
About the Role
Redhorse transforms how the government uses data and technology. We are seeking a dedicated Artificial Intelligence/Machine Learning (AI/ML) Engineer to join our team and contribute to the forefront of AI and deep learning within the Department of War (DoW). Working closely with the Chief Digital and Artificial Intelligence Office (CDAO), you will design, build, and integrate AI/ML solutions focused on autonomous warfare, making a significant impact on national security.
Key responsibilities
  • AI/ML Development: Support the implementation of CDAO's Algorithmic Warfare (AW) AI scaffolding project, including developing a process/structure for DoW teams to develop and test their own AI/ML models. Develop and maintain scalable and robust AI/ML systems compliant with government cybersecurity policies. Stay current with the latest AI/ML research and technologies, assessing their potential application in government projects.
  • Autonomous Warfare: Support the development and integration of AI/ML solutions with existing government IT infrastructure and systems, focusing on improving autonomous warfare capabilities.
  • Collaboration: Contribute to cross-functional team efforts on CDAO's large language model task force. Participate in code reviews, testing, and debugging to ensure high-quality product delivery. Communicate complex AI/ML concepts and results clearly to non-technical stakeholders.
  • Architecture and Design: Prepare technical documentation, including system design, development reports, and user manuals.
  • Standards Compliance: Develop and maintain scalable and robust AI/ML systems compliant with government cybersecurity policies. Apply National Institute of Standards and Technology (NIST) guidelines for DoW information assurance, including NIST 800-37 and NIST 800-53.
Required experience/clearance
  • US citizenship with an active Department of Defense (DoW) Top Secret (TS) security clearance and current access to Sensitive Compartmented Information (SCI) (TS/SCI) is required.
  • Bachelor's degree in engineering and 8 years of related experience, or a combination of advanced degree/experience.
  • Experience in system development/configuration, integration, and support efforts. Knowledge and execution with DoW systems is highly desired.
Desired experience
  • Experience in autonomous warfare development.
  • Extensive knowledge of Cloud architecture, application, and integration (e.g., DataBricks, AWS, Azure, GCP).
  • Proven experience with software development (in languages such as Python) and/or development of artificial intelligence/machine learning software.
  • Experience with large language models (LLMs) and natural language processing (NLP).
  • Experience with containerization technologies (Docker, Kubernetes).

Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.
Accommodations:
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at [email protected]
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse's changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse's sole discretion.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.