Agentic AI Machine Learning Engineer
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
Agentic AI Machine Learning Engineer
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
Agentic AI Machine Learning Engineer
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
Agentic AI Machine Learning Engineer
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
Agentic AI Machine Learning Engineer
Arlington, VA · On-site
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
Agentic AI Machine Learning Engineer
Arlington, VA · On-site
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
Agentic AI Machine Learning Engineer
Alexandria, VA · On-site
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
Agentic AI Machine Learning Engineer
Alexandria, VA · On-site
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
Senior Lead Machine Learning Engineer
Mclean, VA · On-site
$229.90 - $262.40/hr
... large-scale, Reinforcement Learning-based recommender systems that will power personalized ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
New
Senior Lead Machine Learning Engineer
Mclean, VA · On-site
$229.90 - $262.40/hr
... large-scale, Reinforcement Learning-based recommender systems that will power personalized ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
New
Agentic AI Machine Learning Engineer
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
Agentic AI Machine Learning Engineer
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
Agentic AI Machine Learning Engineer
Alexandria, VA · On-site
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
Agentic AI Machine Learning Engineer
Alexandria, VA · On-site
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
Agentic AI Machine Learning Engineer
Arlington, VA · On-site
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
Agentic AI Machine Learning Engineer
Arlington, VA · On-site
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
... large-scale, Reinforcement Learning-based recommender systems that will power personalized ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
... large-scale, Reinforcement Learning-based recommender systems that will power personalized ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
... large-scale, Reinforcement Learning-based recommender systems that will power personalized ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
... large-scale, Reinforcement Learning-based recommender systems that will power personalized ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
... large-scale, Reinforcement Learning-based recommender systems that will power personalized ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
... large-scale, Reinforcement Learning-based recommender systems that will power personalized ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
Artificial Intelligence/ Machine Learning Developer
Ashburn, VA · On-site
$50 - $64.50/hr
... reinforcement learning. * Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
Artificial Intelligence/ Machine Learning Developer
Ashburn, VA · On-site
$50 - $64.50/hr
... reinforcement learning. * Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
... reinforcement learning. * Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
... reinforcement learning. * Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
... reinforcement learning. * Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
Quick apply
... reinforcement learning. * Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
Artificial Intelligence/ Machine Learning Developer
Ashburn, VA · On-site
$120 - $160/hr
... reinforcement learning. * Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
New
Artificial Intelligence/ Machine Learning Developer
Ashburn, VA · On-site
$120 - $160/hr
... reinforcement learning. * Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
New
Artificial Intelligence/ Machine Learning Developer
Ashburn, VA · On-site
$127K - $197K/yr
... reinforcement learning.Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
Quick apply
Artificial Intelligence/ Machine Learning Developer
Ashburn, VA · On-site
$127K - $197K/yr
... reinforcement learning.Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
... reinforcement learning. * Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
... reinforcement learning. * Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
Artificial Intelligence/ Machine Learning Developer
Ashburn, VA · On-site
$127K - $197K/yr
... reinforcement learning. * Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
Artificial Intelligence/ Machine Learning Developer
Ashburn, VA · On-site
$127K - $197K/yr
... reinforcement learning. * Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
... reinforcement learning. * Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
... reinforcement learning. * Conduct research and experiments to explore new AI techniques and ... Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ...
Research Assistant Professor of Machine Learning and Control - School of Engineering, Architecture a
Hampton, VA · On-site
$80K - $90K/yr
... reinforcement learning, artificial intelligence, optimal control theory, autonomy, and/or cloud ... A deep understanding of Al/ML: The candidate should have a deep understanding of the theoretical ...
Research Assistant Professor of Machine Learning and Control - School of Engineering, Architecture a
Hampton, VA · On-site
$80K - $90K/yr
... reinforcement learning, artificial intelligence, optimal control theory, autonomy, and/or cloud ... A deep understanding of Al/ML: The candidate should have a deep understanding of the theoretical ...
Internship Deep Reinforcement Learning information
What is an internship in deep reinforcement learning?
An internship in Deep Reinforcement Learning (DRL) is a temporary, hands-on position where interns learn and apply state-of-the-art machine learning algorithms that enable computers to learn decision-making tasks through trial and error. Interns typically work on projects involving neural networks, reward systems, and environments like games or simulations. These internships provide valuable experience with frameworks such as TensorFlow or PyTorch, and exposure to current research in artificial intelligence. The experience helps students or recent graduates build technical skills and prepare for careers in AI research or industry.
What types of projects or tasks can I expect to work on during a deep reinforcement learning internship?
As a Deep Reinforcement Learning (DRL) intern, you'll typically work on projects involving the development, implementation, and evaluation of reinforcement learning algorithms. This might include tasks like training agents in simulated environments, tuning hyperparameters, analyzing performance metrics, and collaborating with team members to integrate DRL solutions into larger systems. You'll also likely spend time reading recent research papers, experimenting with frameworks such as TensorFlow or PyTorch, and presenting your findings to the research team. Collaboration with mentors and other interns is common, and you'll gain hands-on experience that prepares you for more advanced roles in AI research or engineering.
What are the key skills and qualifications needed to thrive as an intern in deep reinforcement learning?
To thrive as an Intern in Deep Reinforcement Learning, you need a solid background in mathematics (especially linear algebra, probability, and calculus), programming (Python), and foundational knowledge in machine learning principles, usually supported by ongoing or completed coursework in computer science or related fields. Familiarity with frameworks and tools such as TensorFlow, PyTorch, OpenAI Gym, and experience using version control systems like Git are typically required. Analytical thinking, curiosity, and effective communication are essential soft skills for collaborating on research problems and sharing complex findings. These skills and qualities are crucial for contributing to innovative projects and successfully navigating the challenges of cutting-edge AI research.
What is the difference between Internship Deep Reinforcement Learning vs Data Science Intern?
| Aspect | Internship Deep Reinforcement Learning | Data Science Intern |
|---|---|---|
| Required Skills | Machine learning, programming (Python), reinforcement learning concepts | Statistics, data analysis, programming (Python/R), data visualization |
| Work Environment | Research labs, AI companies, tech startups | Business analytics, tech firms, consulting agencies |
| Industry Usage | AI research, robotics, autonomous systems | Business intelligence, marketing, finance |
Internship Deep Reinforcement Learning focuses on developing algorithms that enable systems to learn through trial and error, often in AI research or robotics. Data Science Internships involve analyzing data to extract insights and support decision-making. While both roles require programming skills, reinforcement learning emphasizes AI-specific techniques, whereas data science centers on statistical analysis and data visualization.
What are the most commonly searched types of Deep Reinforcement Learning jobs in Virginia?
The most popular types of Deep Reinforcement Learning jobs in Virginia are:
What are popular job titles related to Internship Deep Reinforcement Learning jobs in Virginia?
For Internship Deep Reinforcement Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Internship Deep Reinforcement Learning jobs in Virginia look for?
The top searched job categories for Internship Deep Reinforcement Learning jobs in Virginia are:
What cities in Virginia are hiring for Internship Deep Reinforcement Learning jobs?
Cities in Virginia with the most Internship Deep Reinforcement Learning job openings:
$99K - $225K/yr
Full-time
Medical, Life, Retirement, PTO
Re-posted 5 days ago
Booz Allen Hamilton rating
8.9
Based on 49 frontline employees who took The Breakroom Quiz
9th of 72 rated business consultants
Job description
Agentic AI Machine Learning Engineer
The Opportunity:
As an experienced machine learning engineer, you understand goodsoftware is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning(ML)enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors.
On our team, you'll design, create, and implement completeAI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas likesoftware engineering, machine learning operations(MLOps), andsoftware deployment and integration into a variety of different mission environments.
Ready to transform the Defense and Intelligence sectors withsoftware systems to aid data accessibility and AI and ML operationalization?
Join us. The world can't wait.
You Have:
- 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks
- 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data
- 3+ years of experience working in cloud environments, including AWS and Azure
- 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes
- Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
- Experience in connecting Agents to APIs, Cloud platforms, or databases
- Experience evaluating LLM performance and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix
- Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use
- TS/SCI clearance
- Bachelor's degree
Nice If You Have:
- Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM
- Experience with client engagements, client-facing project work, and business development
- Experience with project work in deep learning, computer vision, NLP, or signal processing
- Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services
- Ability to adapt in a rapidly changing environment
- Possession of excellent verbal and written communication skills
- Possession of excellent interpersonal, analytical, problem-solving, and organizational skills
- TS/SCI clearance with a polygraph
- Master's degree
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
What Booz Allen Hamilton employees say
Pay
Benefits
Hours and flexibility
Workplace
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About Booz Allen Hamilton
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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.
Industry
It services
Company size
10,000+ Employees
Headquarters location
McLean, VA, US
Year founded
1914