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Machine Learning Ai Jobs in Washington (NOW HIRING)

AI Squared

Machine Learning Engineer

Washington, DC · On-site

We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.

AI Squared

Machine Learning Engineer

Washington, DC · On-site

We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.

AI Squared

Machine Learning Engineer

Washington, DC · On-site

We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.

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All JobsMachine Learning Ai JobsMachine Learning Ai Jobs in Washington

Machine Learning Ai information

See Washington salary details

$28.9K

$48.2K

$99.7K

How much do machine learning ai jobs pay per year?

As of Jun 24, 2026, the average yearly pay for machine learning ai in Washington is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Engineer, and why are they important?

To thrive as a Machine Learning AI Engineer, you need a strong background in mathematics, statistics, programming (typically Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as cloud platforms and data processing tools, is essential, and certifications in these areas can be advantageous. Strong problem-solving, communication, and collaboration skills help you effectively translate business needs into technical solutions and work well within multidisciplinary teams. These skills ensure you can develop robust AI models that address real-world challenges and deliver meaningful business impact.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, AI Software Developer, and AI Product Manager. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and understanding of data analysis and algorithms.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in AI frameworks, and strong industry expertise can earn $500,000 or more annually, especially in high-demand sectors like technology and finance. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities.

What is a Machine Learning AI specialist?

A Machine Learning AI specialist is a professional who develops algorithms and models that enable computers to learn from and make predictions or decisions based on data. They work with large datasets, train and evaluate machine learning models, and often collaborate with software engineers and data scientists to integrate AI solutions into products and services. Their work is crucial in fields like natural language processing, computer vision, and predictive analytics, helping organizations automate tasks, gain insights, and improve efficiency.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation.

What are some common challenges faced when collaborating with cross-functional teams as a Machine Learning AI professional?

As a Machine Learning AI professional, you’ll often collaborate with data engineers, software developers, and product managers. A common challenge is bridging the gap between complex AI models and practical business requirements, ensuring your solutions are both technically sound and aligned with user needs. Effective communication is key, as you’ll need to explain technical concepts to non-technical stakeholders and adapt your models based on feedback. Building trust and fostering a collaborative environment will help ensure successful project outcomes and foster continual learning.

Which 3 jobs will survive AI?

Machine Learning AI professionals are likely to continue to find demand in roles such as AI researchers, data scientists, and AI ethics specialists, as these require advanced expertise, critical thinking, and understanding of complex algorithms. These roles involve tasks that are difficult to fully automate and often require ongoing innovation, specialized skills, and domain knowledge. Staying updated with programming languages like Python and frameworks such as TensorFlow can enhance job security in this field.

What is the difference between Machine Learning Ai vs Data Scientist?

AspectMachine Learning AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with programming and algorithmsDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, training models, deploying AI systemsAnalyzing data, creating reports, interpreting results
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

Machine Learning Ai focuses on developing and deploying AI algorithms and models, while Data Scientists analyze and interpret data to inform business decisions. Both roles often collaborate but have distinct focuses within the data and AI ecosystem.

What are popular job titles related to Machine Learning Ai jobs in Washington? For Machine Learning Ai jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Machine Learning Ai jobs in Washington look for? The top searched job categories for Machine Learning Ai jobs in Washington are:
Machine Learning Ai jobs near you
Infographic showing various Machine Learning Ai job openings in Washington as of June 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.
Artificial Intelligence/Machine Learning (AI/ML) Engineer 1

Artificial Intelligence/Machine Learning (AI/ML) Engineer 1

Peraton

Laurel, MD

$176K - $282K/yr

Full-time

PTO

Posted 10 days ago

Peraton rating

8.2

Company rating: 8.2 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

45th of 204 rated it services

Job description

Responsibilities

Designs, develops, tests, and deploys AI/ML algorithms to address complex business challenges and mission requirements. Develops models capable of learning from data, generating accurate predictions, and aligning with customer-defined business logic and operational objectives.

Demonstrates expertise in model architecture, data pipeline integration, and the application, interpretation, and presentation of performance metrics. Maintains a strong understanding of application development, infrastructure management, data engineering, and data governance principles to support scalable and efficient AI/ML solutions.

May lead geographically distributed teams and frequently serve as a primary point of contact for AI-related initiatives. Requires strong analytical thinking, problem-solving abilities, and exceptional written and verbal communication skills.

#MDFSP

#peratonroyalmove

Qualifications

The Level 1 Artificial Intelligence/Machine Learning (AI/MI) Engineer shall possess the following 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.
  • Minimum of 2 years of experience in applied machine learning on programs/contracts of similar scope, type, and complexity.
  • Bachelor of Science degree in Advanced mathematics (e.g., calculus, linear algebra, Bayesian statistics), Computer Science or related STEM discipline from an accredited college or university. (In lieu of a bachelor's degree, 4 additional years of machine learning experience on similar projects may be substituted).
  • An active TS/SCI with Poly is required.
  • Experience training, retraining, deploying, scheduling, monitoring, and improving models based on iterative user and system feedback is required to support designing and creating scalable solutions for optimal performance.

Desired Qualifications: 

  • Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, is desired.

Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.

Investing in Your Growth: Selected candidates may be eligible for enhanced professional development opportunities, including training, certification programs, and skill-building experiences tailored to individual strengths, career goals, and role-specific requirements.

#MDFSP #MPOJobs #AJCM #PeratonRoyalMove

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$176,000 - $282,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

What Peraton employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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