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Senior Meta Machine Learning Jobs in Washington (NOW HIRING)

# Machine Learning Engineer- SeniorSOSiChantilly, USFull-time## About the RoleCompany DescriptionFounded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in ...

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 ...

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 ...

Senior Machine Learning Engineer

Arlington, VA · On-site +1

$120K - $165K/yr

As a Senior Machine Learning Engineer, you will drive hands-on engineering and modeling for Defense and Intelligence applications. You'll implement novel embeddings-based change detection and ...

Senior Machine Learning Engineer

Arlington, VA · On-site

$120K - $165K/yr

As a Senior Machine Learning Engineer, you will drive hands-on engineering and modeling for Defense and Intelligence applications. You'll implement novel embeddings-based change detection and ...

Showing results 41-60

Senior Meta Machine Learning information

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.

What are the most commonly searched types of Meta Machine Learning jobs in Washington?

The most popular types of Meta Machine Learning jobs in Washington are:

What are popular job titles related to Senior Meta Machine Learning jobs in Washington?

For Senior Meta Machine Learning jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Senior Meta Machine Learning jobs?

Cities in Washington with the most Senior Meta Machine Learning job openings:

Machine Learning Engineer- Senior

AIToolboard

Chantilly, VA • On-site

$150 - $200/hr

Other

Posted 20 days ago


Key responsibilities

  • 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.

  • Communicate technical concepts and deliver results to non-technical leadership and stakeholders.


Job description

# Machine Learning Engineer- SeniorSOSiChantilly, USFull-time## About the RoleCompany DescriptionFounded 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 DescriptionOverviewSOSi 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.QualificationsMinimum 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 InformationWork Environment• Office setting with a combination of desk work and meetings.Working at SOSiAll interested individuals will receive consideration and will not be discriminated against for any reason. #J-18808-Ljbffr