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$15

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$54

How much do artificial intelligence machine learning jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for artificial intelligence machine learning in Washington, DC is $29.84, according to ZipRecruiter salary data. Most workers in this role earn between $24.23 and $31.59 per hour, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning job?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What are some typical projects or tasks an Artificial Intelligence Machine Learning professional might work on?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Machine Learning position, and why are they important?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

What is AI ML salary?

The salary for artificial intelligence and machine learning professionals varies based on experience, location, and skill level, but typically ranges from $80,000 to over $150,000 annually. Entry-level roles may start around $70,000, while experienced specialists with advanced skills in deep learning, data analysis, and programming can earn higher salaries, especially in tech hubs or companies with specialized AI projects.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as AI Engineer, Machine Learning Engineer, Data Scientist, Deep Learning Engineer, and AI Research Scientist. These positions typically require knowledge of programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and a strong understanding of algorithms and data analysis.

Is AI ML a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. Continuous learning and staying updated with new developments are important for long-term career growth.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced expertise, leadership skills, and extensive experience. These positions usually involve strategic decision-making, overseeing AI development projects, and may require advanced degrees and industry certifications. Compensation at this level reflects significant responsibility and impact within organizations or tech companies.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Washington, DC? The most popular types of Artificial Intelligence Machine Learning jobs in Washington, DC are:
What are popular job titles related to Artificial Intelligence Machine Learning jobs in Washington, DC? For Artificial Intelligence Machine Learning jobs in Washington, DC, the most frequently searched job titles are:
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Artificial Intelligence Machine Learning jobs near you
Infographic showing various Artificial Intelligence Machine Learning job openings in Washington, DC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $62,061 per year, or $29.8 per hour.
Artificial Intelligence Machine Learning

Artificial Intelligence Machine Learning

Wyetech

Annapolis, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.
The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.
Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).
Capabilities
  • Select appropriate data sets
  • Perform statistical analysis
  • Run machine learning algorithms
  • Use results to improve models
  • Train and retrain systems when needed
  • Experience in working with various ML libraries and packages
  • Run standard test and evaluation protocols
  • Provide system integration oversight
  • Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
  • Research and implement a broad range of AI and ML algorithms and tools
  • Design or Select appropriate data and knowledge representation methods
  • Recognize software architecture, data modelling, and data structures
  • Transform and convert data science prototypes into scalable solutions
  • Verify data and model output quality
  • Identify differences in data distribution that affect model performance

Required Qualifications
  • TS/SCI with agency appropriate poly
  • Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
  • A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
  • 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
  • Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.

The Benefits Package
  • Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.

Additional benefits include:
  • Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.

Full-time employees have the option to participate in a variety of voluntary benefit plans including:
  • A Choice of Medical Plan Options, some with Health Savings Account (HSA)
  • Vision and Dental
  • Life and AD&D Benefits
  • Short and Long-Term Disability
  • Hospital Indemnity, Accident, and Critical Illness Insurances
  • Optional Identity Theft and Legal Protection Services

Company Environment & Perks
  • Employee Referral Bonus Eligibility up to $10,000
  • Mobility Among Wyetech-supported Contracts
  • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
  • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.
  • Employees receive two complementary branded clothing orders annually.

$0 - $0 an hour
Pay Range: $ - $ per hour*
Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts.
Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Affirmative Action Statement:
Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.
Accommodations:
Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or [email protected]. We are happy to provide reasonable accommodations to ensure equal access to all candidates.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

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