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Machine Learning Engineer Starting Jobs in Ashburn, VA

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0242757 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0242766 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0244880 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

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All JobsMachine Learning Engineer Starting JobsMachine Learning Engineer Starting Jobs in Ashburn, VA

Machine Learning Engineer Starting information

See Ashburn, VA salary details

$32.2K

$131.7K

$197.9K

How much do machine learning engineer starting jobs pay per year?

As of Jul 22, 2026, the average yearly pay for machine learning engineer starting in Ashburn, VA is $131,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $158,500.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced machine learning engineers working in top tech companies or specialized fields can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires advanced skills in deep learning, large-scale data processing, and proficiency with tools like TensorFlow or PyTorch, along with significant industry experience and a strong track record of impactful projects.

Which 3 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, focusing on developing and refining AI models. Other resilient roles include data scientists, who interpret complex data, and cybersecurity professionals, who protect systems from evolving threats. These jobs require specialized skills and adapt to technological changes, making them more resistant to automation.

What are entry-level AI/ML jobs?

Entry-level AI/ML jobs typically include roles such as Junior Machine Learning Engineer, Data Analyst, or AI Research Assistant. These positions often require foundational knowledge of programming languages like Python, familiarity with machine learning frameworks such as TensorFlow or PyTorch, and a relevant degree or certification. They offer opportunities to gain practical experience in model development, data preprocessing, and deploying AI solutions.

What jobs should I get before getting into machine learning engineer?

Entry-level roles such as data analyst, software developer, or research assistant can provide relevant experience for aspiring machine learning engineers. Gaining skills in programming languages like Python or R, understanding data manipulation, and working with tools like SQL and machine learning frameworks are valuable steps before transitioning into a machine learning engineer role.
What cities near Ashburn, VA are hiring for Machine Learning Engineer Starting jobs? Cities near Ashburn, VA with the most Machine Learning Engineer Starting job openings:
Machine Learning Engineer Starting jobs near you
Machine Learning Engineer

Machine Learning Engineer

AI Squared

Washington, DC

Full-time

Posted 2 days ago

Job description

Machine Learning Engineer
Washington, DC (Hybrid)

About the Role:

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. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions. You'll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place.

Key Responsibilities:
  • Design, implement, and maintain ML deployment pipelines for scalable production systems.
  • Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability.
  • Build robust model monitoring, logging, and alerting systems to track performance and detect drift.
  • Partner with data scientists to transition models from research/prototype into production-ready deployments.
  • Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.
  • Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems.
  • Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems.
  • Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements.
Qualifications:
  • 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role.
  • Proven experience deploying and maintaining machine learning models in production at scale.
  • Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar).
  • Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.
  • Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems.
  • Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling.
  • Strong understanding of MLOps best practices, monitoring, and automation.
  • Excellent problem-solving skills, with an emphasis on building reliable, scalable systems.
  • Strong communication and collaboration skills across technical and non-technical teams.