1

New Grad Machine Learning Jobs in Ashburn, VA (NOW HIRING)

... 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 ...

... 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 ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other ...

Showing results 21-40

New Grad Machine Learning information

See Ashburn, VA salary details

$26.1K

$43.5K

$90K

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

As of Aug 11, 2026, the average yearly pay for new grad machine learning in Ashburn, VA is $43,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,200.00 and $47,000.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to New Grad Machine Learning jobs in Ashburn, VA? For New Grad Machine Learning jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching New Grad Machine Learning jobs in Ashburn, VA look for? The top searched job categories for New Grad Machine Learning jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for New Grad Machine Learning jobs? Cities near Ashburn, VA with the most New Grad Machine Learning job openings:
Infographic showing various New Grad Machine Learning job openings in Ashburn, VA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $43,546 per year, or $20.9 per hour.

Full-time

Re-posted 27 days ago


Job description

Job Summary:
Freedom Technology Solutions Group is looking for a Machine Learning Engineer to lead an effort to bring its enterprise services into compliance with Federal data standards and formats. The role involves reviewing and analyzing data sets, making recommendations for data cleansing and transformation, and collaborating with various internal teams to support data migration and integration efforts.
Responsibilities:
• Establish a repeatable process to periodically “scrape” and collect skills from a collection of Sponsor performance reviews.
• Comply with the Sponsor’s guidance and policies regarding the collection, analysis, and use of personal identifiable Information (PII).
• Create an access-controlled collection of disparate data sources.
• Create an access-controlled database to store collected jobs, competencies, KSAs, and proficiency levels. The portable database will be transferrable to the process owner upon the completion of the implementation.
• Create a data migration plan to export collected skills and competencies into the Sponsor’s systems.
• Scrape, collate, and perform analysis of skill sets from open source, commercially available, and existing Sponsor databases and applications for addition to the skills repository.
• Scrape, gather, and analyze onboarding data to enrich the skill and competencies repository.
• Review and analyze all Sponsor service competency data for addition to the skill and competencies repository.
• Collaborate with other internal Sponsor offices to review, analyze, and update competency data from open source, commercially available, existing Sponsor databases, and applications, in addition to the skill and competencies repository.
• Evaluate the Sponsor's current Chatbot and Machine Learning (ML), Artificial Intelligence (AI) offerings, and integration methods, and provide a report on opportunities to integrate with the Sponsor's systems.
• Evaluate and assess the Sponsor’s planned system restructuring and its data integration impacts with a new external service provider.
• Work with the Sponsor's team supporting the system restructure to understand data standards required and the impact on the Sponsor’s OPM standardization efforts.
• Create a transition guide or Standard Operating Procedures (SOPs) of activities.
• Create and maintain documentation for a Skills Taxonomy Gap Analysis Report to include an assessment of the current state, proposed baseline of competencies and KSAs, identification of missing data, and an action plan for gap mitigation.
• Create and maintain documentation of methodologies and tools used to accomplish the Scope of Work (SOW).
• Create and maintain documentation related to system access to database(s), systems used, and databases accessed to perform the work.
• Create and maintain a list of Internal and External Key Contacts, to include names and contact information.
• Create and maintain documentation regarding concerns, risks, and issues regarding data, storage, tools, and access.
• Create and maintain documentation regarding the status of deliverables and open actions.
Qualifications:
Required:
• Demonstrated experience designing, creating tables, views, relationships, and scripting (SQL) with database systems (e.g., Oracle, MySQL, PostgreSQL, SQL, NOSQL, and/or structured and unstructured data).
• Demonstrated experience with implementing and using extract, transform, and load (ETL) tools.
• Demonstrated experience implementing, using, and creating Data Application Programming Interfaces (APIs) or data services.
• Demonstrated experience with Python, Java, and Scala programming languages.
• Demonstrated experience implementing, using, and creating data visualizations.
• Demonstrated experience implementing, using, or creating ML/AI software, tools, and services.
• Demonstrated experience using or creating Amazon Web Services (AWS)-based analytic tools and services.
• Demonstrated experience using and implementing Apache Hadoop.
Preferred:
• Demonstrated experience with using and creating Tableau visualizations.
• Demonstrated experience with using and creating workspaces in Bluescape.
• Demonstrated experience working with data services in the Sponsor’s cloud environment.
• Demonstrated experience with the Sponsor’s HR data and database environment.
• Demonstrated experience using SharePoint, and adding and integrating content.
• Demonstrated knowledge of Agile Project Management Methodology.
Company:
FTSG was founded with the idea of building a company in which IT professionals have the 'Freedom' to be creative and innovative. Founded in 2004, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.