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Applied Machine Learning Intern Jobs in Washington, DC

Tetra Tech

Machine Learning Engineer - Remote

Vienna, VA · On-site

$150 - $200/hr

Required Skills: * 5+ years of experience in ML Engineering or Applied Machine Learning. * Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Required Skills: * 5+ years of experience in ML Engineering or Applied Machine Learning. * Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site

$140K - $150K/yr

Required Skills:5+ years of experience in ML Engineering or Applied Machine Learning.Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)

Bah

University - Applied AI Intern

Washington, DC · On-site

$69K - $158K/yr

As an Applied AI Intern, you'll help our defense mission space team explore new approaches in ... In this role, you'll help build tools, applications, and pipelines that integrate machine learning ...

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All JobsApplied Machine Learning Intern JobsApplied Machine Learning Intern Jobs in Washington, DC

Applied Machine Learning Intern information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

How much do applied machine learning intern jobs pay per year?

As of Sep 9, 2026, the average yearly pay for applied machine learning intern in Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

What are popular job titles related to Applied Machine Learning Intern jobs in Washington, DC?

For Applied Machine Learning Intern jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Applied Machine Learning Intern jobs in Washington, DC look for?

The top searched job categories for Applied Machine Learning Intern jobs in Washington, DC are:

Applied Machine Learning Intern jobs near you
Infographic showing various Applied Machine Learning Intern job openings in Washington, DC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 20% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.

Machine Learning Engineer - Remote

Vienna, VA • On-site

Tetra Tech
Civil Engineering Construction • 10K+ employees
Learn more about Tetra Techexternal

$150 - $200/hr

Other

Posted 10 days ago

Tetra Tech rating

6.4

Company rating: 6.4 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

405th of 454 rated engineering

Job description

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of something special!

Role and Responsibilities
  • Collaborate with data scientists and SMEs to develop ML models using curated datasets.
  • Conduct experiments, prototypes, and proof-of-concepts to validate model performance.
  • Create scalable and reusable training pipelines using Databricks notebooks and MLflow.
Implementation and Optimisation
  • LLMs (Large Language Models), RAGs, and AI agent systems for various business applications. Deployment & MLOps
  • Operationalize models with robust CI/CD workflows.
  • Deploy models usingMLflow, SageMaker, or custom APIs.
  • Monitor production models for accuracy, drift, and latency; manage retraining schedules.
  • Work closely with Data Engineering to align ML pipelines with the Bronze, Silver, Gold layers of a Medallion Architecture.
  • Engineer high-quality features and maintain training/inference pipelines.
Cloud and Platform Engineering
  • Leverage AWS services including S3, EC2, Lambda, SageMaker, and Step Functions.
  • Document ML artifacts, processes, and performance outcomes.
  • Contribute to agile project ceremonies and maintain a feedback loop with stakeholders.
  • Share knowledge and mentor junior team members.
Required Skills:
  • 5+ years of experience in ML Engineering or Applied Machine Learning.
  • Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
  • Proficient with Databricks, MLflow, and PySpark.
  • Solid understanding of model lifecycle and MLOps practices.
  • Experience with AWS-based data infrastructure and related DevOps practices.
  • Demonstrated ability to productionize models and integrate with business system
  • Strong understanding of mathematics and statistics relevant to machine learning and AI.
  • Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.).
  • Solid background in software engineering principles and best practices.
  • Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  • Experience with MLOps tools and workflows, particularly on AWS (SageMaker, Lambda, S3, etc.).
  • Practical experience with LLMs, RAGs, and AI agent architectures.
  • Proficiency with the Databricks platform for data engineering and ML pipelines.
  • Advanced programming skills in Python.
  • Excellent communication and teamwork abilities.
Preferred Skills:
  • Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks for rapid prototyping and real-time model interactions
  • Business acumen and ability to align AI solutions with organizational goals.
  • Optimize compute and storage resources for performance and cost-efficiency.

Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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What Tetra Tech employees say

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Hours and flexibility

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About Tetra Tech

Sourced by ZipRecruiter

Tetra Tech combines the resources of a global, multibillion-dollar company with local, client-focused delivery in more than 450 locations around the world. Our reputation rests on the technical expertise and dedication of our employees-21,000 associates working together to provide smart, scalable solutions for challenging projects. We are proud to be home to leading technical experts in water, environment, infrastructure, resource management, energy, and international development.

Industry

Civil engineering construction and environmental consulting services

Company size

10,000+ Employees

Headquarters location

Pasadena, CA, US

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