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Senior Meta Machine Learning Jobs in Virginia (NOW HIRING)

SOSi

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in Chantilly, VA. In this job you will work with other talented data scientists, software developers ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

This position requires mid to senior level of experience, a passion for mission support, and a ... As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site

This position requires mid to senior level of experience, a passion for mission support, and a ... As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

This position requires mid to senior level of experience, a passion for mission support, and a ... As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site

This position requires mid to senior level of experience, a passion for mission support, and a ... As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning ...

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All JobsMeta Machine Learning JobsSenior Meta Machine Learning JobsSenior Meta Machine Learning Jobs in Virginia

Senior Meta Machine Learning information

Is L7 senior at Google?

L7 at Google is considered a senior-level position, typically involving significant technical expertise and leadership responsibilities. It is often regarded as a senior or staff level role within Google's engineering hierarchy, requiring extensive experience and advanced skills in areas like machine learning or software development.

How much does L7 make at Meta?

An L7 Senior Meta Machine Learning engineer typically earns a base salary ranging from $250,000 to $350,000 annually, with additional compensation such as bonuses and stock options. Total compensation can exceed $400,000 depending on performance and stock grants. These figures are based on industry reports and may vary by location and experience.

What engineer makes $500,000 a year?

Senior Meta Machine Learning engineers can earn $500,000 or more annually, especially with bonuses and stock options in large tech companies. High compensation typically requires advanced skills in deep learning, extensive experience, and a strong track record of impactful projects.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

How much does a Meta senior machine learning engineer make?

A senior machine learning engineer at Meta typically earns between $150,000 and $200,000 annually, with total compensation including bonuses and stock options often exceeding this range. Compensation varies based on experience, location, and performance, and the role requires strong skills in deep learning, data analysis, and programming in Python or C++.
What are the most commonly searched types of Meta Machine Learning jobs in Virginia? The most popular types of Meta Machine Learning jobs in Virginia are:
What are popular job titles related to Senior Meta Machine Learning jobs in Virginia? For Senior Meta Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Senior Meta Machine Learning jobs in Virginia look for? The top searched job categories for Senior Meta Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Senior Meta Machine Learning jobs? Cities in Virginia with the most Senior Meta Machine Learning job openings:
Senior Meta Machine Learning jobs near you
Infographic showing various Senior Meta Machine Learning job openings in Virginia as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Machine Learning Engineer- Senior

SOSi

Chantilly, VA • On-site

$125K - $165K/yr

Full-time

Posted 29 days ago

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

Overview

SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in Chantilly, VA. In this job you will work with other talented data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. This role requires the ability to solve complex problems independently and collaboratively in a dynamic work environment. Strong communication skills are essential for translating technical concepts to non-technical stakeholders and delivering actionable insights.

Essential Job Duties

  • Leverage data science and machine learning processes to answer mission challenges.
  • Develop and iterate rapid prototype solutions, leveraging open-source models and technologies where possible
  • Flexibility to support topics such as object detection, data triage, search/optimization, image/video analysis, facial recognition, behavior detection, and automated discovery. 
  • Apply excellent problem-solving skills to address technical challenges, both independently and as part of a team in a fast-paced environment.
  • Comprehend project requirements and execute tasks accordingly, ensuring alignment with project goals and timelines.
  • Effectively communicate technical concepts and deliver results to non-technical leadership and stakeholders, facilitating informed decision-making.
Qualifications

Minimum Requirements

  • Existing TS/SCI (with poly).  This security clearance requires U.S. citizenship. Candidates will not be nominated for new clearances.
  • Minimum 5 years of experience in a data science/engineer role.
  • Experience developing and using agentic AI frameworks including Autogen. 
  • Experience with prompt engineering beyond traditional code writing and debugging. Understanding of how to craft prompts for discrete tasks such as data labeling and processing.  
  • Experience with asynchronous Python development using frameworks like Ray and FastAPI. 
  • Experience developing and deploying AI/ML models as part of production systems, implementing software development best practices for scalability and reliability.  
  • Experience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks. 
  • Deploying models into multi-node Ray clusters utilizing various GPU resources. 
  • Experience with developing and deploying resources to cloud environments.  
  • Experience working in Linux and Windows environments and managing resources for efficiency. 
  • Demonstrated ETL expertise.

Preferred Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; OR equivalent experience.
  • Experience in the US Intelligence Community.
Additional Information

Work Environment

  • Office setting with a combination of desk work and meetings.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

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