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New Grad Machine Learning Jobs in Washington (NOW HIRING)

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Analyze results, identify model failure modes, and translate findings into new experiments and technical approaches. What We're Looking For * 3-5+ years of experience in machine learning, research ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the ... new approaches. * You're a great teacher. You know how to break down complex ML concepts for a ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... entirely new capabilities. * Support program with R&D and customer-facing goals, to speed the ...

Koitecc Solutions

Machine Learning Engineer

Chantilly, VA · On-site

$120 - $180/hr

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... entirely new capabilities. * Support program with R&D and customer-facing goals, to speed the ...

Varsity Tutors

Machine Learning Tutor

Laurel, MD · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Elder Research Inc

Machine Learning Engineer

Chantilly, VA · On-site

$140 - $180/hr

... Machine Learning Engineer to join our team in Chantilly, VA. Build and deploy AI agents to both ... entirely new capabilities. Support program with R&D and customer-facing goals, to speed the ...

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

$140 - $190/hr

... Machine Learning Engineer to join our team in Chantilly, VA. Build and deploy AI agents to both ... entirely new capabilities. Support program with R&D and customer-facing goals, to speed the ...

Varsity Tutors

Machine Learning Tutor

Alexandria, VA · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Machine Learning Tutor

Washington, DC · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Machine Learning Tutor

Bowie, MD · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Machine Learning Tutor

College Park, MD · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Machine Learning Tutor

Fairfax, VA · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Washington

New Grad Machine Learning information

See Washington salary details

$8

$25

$64

How much do new grad machine learning jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for new grad machine learning in Washington is $25.17, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $29.23 per hour, depending on experience, location, and employer.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are popular job titles related to New Grad Machine Learning jobs in Washington?

For New Grad Machine Learning jobs in Washington, the most frequently searched job titles are:

What job categories do people searching New Grad Machine Learning jobs in Washington look for?

The top searched job categories for New Grad Machine Learning jobs in Washington are:

What cities in Washington are hiring for New Grad Machine Learning jobs?

Cities in Washington with the most New Grad Machine Learning job openings:

New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, 2% Temporary, and 5% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $52,359 per year, or $25.2 per hour.

Engineer, Machine Learning

Venture Global, Inc.

Arlington, VA • On-site

$157K - $185K/yr

Full-time

Posted 16 days ago

Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
We are seeking qualified applicants for the position:
Engineer, Machine Learning
Located:
Arlington
Summary
The Machine Learning Engineer will design, develop, and maintain the productionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization algorithms. This includes building pipelines for training and deploying deep learning and other machine learning algorithms and enabling models to run efficiently in production. The main data engineering work will be done in Databricks and PySpark.
The ideal candidate will have excellent technical proficiency, excellent communication skills, a self-driven mindset, and the willingness to continuously learn new things.
This position will report to the Director of Business Intelligence and is structured within IT under the Vice President of Applications.
The position will be located in Arlington, VA and will require commuting to the office 5 days a week.
General Description Duties & Responsibilities
  • Work with business stakeholders to define project requirements.
  • Orchestrate, scale, setup and improve model serving pipelines.
  • Improve model accuracy through feature engineering, tuning, and observability.
  • Improve model computational performance through all aspects of the pipeline, including tuning clusters/job compute, partitioning, caching, feature engineering code, tuning setup, etc.
  • Integrate machine learning models into production environments, ensuring reliability and scalability.
  • Evaluate pretrained models and software from vendors and support integration into production environments.
  • Develop comprehensive project plans for implementing machine learning and AI projects including solution architectures, resourcing, and dependencies.
  • Provide ETL requirements to data engineers to effectively curate files for data analytics.
  • Work with data scientists, data engineers, and business analysts to translate business requirements into machine learning solutions.
  • Build software solutions that are maintainable, scalable and provide quantifiable business value.
  • Continuously focus on quality architecture, quality code, and ruthless management of technical debt.
  • Continuously push the practice forward, learning and testing newer and better ways of performing work.

Qualifications
Required experience
  • 5 years of machine learning engineering, software engineering, or data science experience.
  • Bachelors in a quantitative field of study.

Preferred Experience
  • Masters in a quantitative field of study.
  • Experience with the Azure, AWS, or other cloud ecosystems.
  • Experience in building secure data processing pipelines.
  • Proficient in utilizing data lakes, CI/CD pipelines, Databricks, Unity Catalog, and Git.
  • Experience working with streaming.
  • Expertise in building machine learning solutions using cloud data services.
  • Exceptional skills in data processing languages such as SQL, Python, or Scala.
  • Exceptional skills in feature engineering, model optimization, and parameter tuning.

Salary Range
$157,000-$185,000
Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

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