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Ai Ml Engineer Intern Jobs (NOW HIRING)

AI/ML Engineer Location: Arlington, VA Must have an active Top Secret Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government ...

Job#: 3042434 AI/ML Engineer Hybrid in Dallas, TX or Tampa, FL Overview We are seeking a passionate and hands-on AI/ML Engineer to accelerate our Enterprise Observability strategy. This role will ...

AI/ML Engineer Location: Arlington, VA Must have an active Top Secret Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government ...

AI/ML Engineer Location: Arlington, VA Must have an active Top Secret Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government ...

AI/ML Engineer

San Francisco, CA · On-site

$150K - $250K/yr

As an AI/ML Engineer, you'll shape the future of engineering automation by building AI that thinks like an engineer - designing, training, and deploying models that accelerate simulation, improve ...

AI/ML Engineer Location: Austin, TX (Hybrid) Duration: Long Term AI/ML Engineer will supplement existing staff capacity and provide specialized expertise necessary to meet accelerated delivery ...

We're a rapidly expanding company in search of a highly skilled and experienced AI/ML Engineer to join our team. If you're passionate about developing state-of-the-art AI models and have a deep ...

As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders to tackle meaningful challenges using ML, Generative AI, and modern tools. You'll contribute ...

We are seeking an AI ML Engineer to design, develop, and deploy Generative AI applications, with a focus on Retrieval-Augmented Generation (RAG) and agentic workflows. The ideal candidate will have ...

As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders to tackle meaningful challenges using ML, Generative AI, and modern tools. You'll contribute ...

PingWind is focused on delivering outstanding services to the federal government, and they are seeking an AI/ML Engineer responsible for architecting, implementing, and governing advanced AI and ...

AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Anticipated ...

AI/ML Engineer

San Francisco, CA · On-site

$150K - $250K/yr

As an AI/ML Engineer, you'll shape the future of engineering automation by building AI that thinks like an engineer -- designing, training, and deploying models that accelerate simulation, improve ...

Texas Instruments is looking for a Sr. AI/ML engineer who is experienced with developing and deploying AI/ML solutions at scale. This role is critical to accelerating our digital transformation ...

Tata Consultancy Services is seeking an AI/ML Engineer to design and implement AI solutions. The role requires strong engineering skills and expertise in AI technologies to enhance enterprise ...

AI/ML Engineer Location: Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be able to obtain and maintain a Federal or DoD Public Trust Position Overview ...

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Ai Ml Engineer Intern information

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How much do ai ml engineer intern jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for ai ml engineer intern in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI/ML Engineer Intern, and why are they important?

To thrive as an AI/ML Engineer Intern, you generally need a solid foundation in computer science, mathematics (especially linear algebra and statistics), and experience with machine learning concepts, often supported by coursework or project experience. Familiarity with programming languages like Python, libraries such as TensorFlow or PyTorch, and version control systems like Git is typically required. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative and fast-evolving environments. These skills and qualities are crucial for contributing to real-world AI/ML projects and adapting to new challenges in the field.

What does an AI/ML Engineer Intern do?

An AI/ML Engineer Intern assists in building, testing, and improving machine learning models and artificial intelligence systems under the supervision of senior engineers. Their tasks often include data preprocessing, exploring datasets, implementing algorithms, and helping integrate AI solutions into existing applications. Interns may also collaborate on research, contribute to documentation, and support the overall development workflow. This role provides hands-on experience in coding, model evaluation, and understanding real-world challenges in AI/ML projects.

What are some common challenges AI/ML Engineer Interns face during their internship, and how can they overcome them?

AI/ML Engineer Interns often encounter challenges such as understanding large, complex datasets, adapting to new frameworks or tools quickly, and translating theoretical concepts into practical solutions. It's common to feel overwhelmed by the fast-paced environment and the need to collaborate with cross-functional teams. To overcome these challenges, interns should proactively seek guidance from mentors, break down tasks into manageable steps, and participate in regular code reviews to learn best practices. Staying curious and open to feedback will help interns grow their technical and teamwork skills throughout the internship.

What is the difference between Ai Ml Engineer Intern vs Data Scientist Intern?

AspectAi Ml Engineer InternData Scientist Intern
Required SkillsProgramming (Python, TensorFlow), Machine Learning, Data AnalysisStatistics, Data Analysis, Programming (Python, R)
Work EnvironmentDevelopment, Model Building, Algorithm ImplementationData Exploration, Statistical Modeling, Data Visualization
Industry UsageAI/ML product development, research, tech companiesBusiness analytics, research, tech and finance sectors

Both roles often require programming skills and familiarity with data analysis tools. An Ai Ml Engineer Intern focuses more on developing machine learning models and algorithms, while a Data Scientist Intern emphasizes data exploration and statistical analysis. The choice depends on your interest in model development versus data insights.

More about Ai Ml Engineer Intern jobs
What cities are hiring for Ai Ml Engineer Intern jobs? Cities with the most Ai Ml Engineer Intern job openings:
What are the most commonly searched types of Ai Ml Engineer jobs? The most popular types of Ai Ml Engineer jobs are:
What states have the most Ai Ml Engineer Intern jobs? States with the most job openings for Ai Ml Engineer Intern jobs include:
What job categories do people searching Ai Ml Engineer Intern jobs look for? The top searched job categories for Ai Ml Engineer Intern jobs are:
Infographic showing various Ai Ml Engineer Intern job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
AI/ML Engineer

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

AI/ML Engineer
Location: Arlington, VA

Must have an active Top Secret Clearance

Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government agencies and critical asset owners who experience cyber-attacks, providing immediate investigation and resolution.  Contract personnel perform investigations to characterize the severity of breaches, develop mitigation plans, and assist with the restoration of services. 

Node is seeking a AI/ML Engineer to support this critical customer mission.

The AI/ML Engineer will develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis workflows, and integration automation. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.

Responsibilities:

- Develop automated data pipelines for machine learning technology integration initiatives

- Create automation workflows for malware sample collection, detonation, and taxonomy

- Implement AI/LLM integrations with Databricks and other cloud services

- Implement data integration automation between pilot and production systems

- Support Automated Malware Analysis (AMA) platform development and enhancement

- Develop scripts and tools to automate repetitive technical tasks

- Create data transformation and normalization automation

- Support AI/ML data preparation and feature engineering automation

- Develop monitoring and alerting automation for integrated systems

- Implement API integrations for data sharing and workflow automation

- Document automation solutions and maintain code repositories

- Support scaling automation from pilot to production environments

- Optimize automation performance and efficiency

- Collaborate with analysts to identify automation opportunities

- Ensure automation solutions maintain data quality and integrity

- Support continuous improvement of automated capabilities

Requirements

Required Skills:
- U.S. Citizenship
- Active Secret clearance; TS/SCI preferred
- Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability
- 5+ years of experience in automation engineering, data engineering, or software development
- Experience with data ingestion pipeline design on AWS
- Experience with AI/LLM configuration, tuning, and integration
- Experience with Machine Learning (ML) pipelines
- Strong programming skills in Python, with experience in data manipulation libraries
- Experience Amazon Bedrock (model access, endpoints, API Integration)
- Knowledge of automation frameworks and orchestration tools
- Experience with APIs and integration technologies
- Understanding of database systems and data modeling
- Familiarity with version control (Git) and CI/CD practices
- Strong problem-solving and analytical skills
- Ability to translate business requirements into automated solutions
- Strong analytical and problem-solving skills
- Excellent documentation and communication abilities
Desired Skills:
- Experience with malware analysis automation or cybersecurity tools
- Knowledge of AI/ML pipelines and data preparation
- Experience with Databricks and Databricks AI
- Experience with workflow orchestration tools (Airflow, Prefect)
- Background in cybersecurity or threat intelligence automation
- Experience with containerization and orchestration (Docker, Kubernetes)
- Knowledge of streaming data platforms (Kafka, Kinesis)
- Familiarity with big data technologies (Spark, Hadoop)
- Experience supporting federal cybersecurity programs
Required Education:
BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience
Desired Certifications:
- DoD 8140 IAT Level III
- CSSLP

Benefits

  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K Matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training