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Summer Artificial Intelligence Machine Learning Jobs

$149.01 - $202/hr

Job Title Artificial Intelligence/Machine Learning Engineer, Senior Overview EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country ...

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Summer Artificial Intelligence Machine Learning information

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$25.5K

$42.6K

$88K

How much do summer artificial intelligence machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for summer artificial intelligence machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a Summer Artificial Intelligence Machine Learning?

A Summer Artificial Intelligence (AI) Machine Learning (ML) job is a temporary internship or position, typically offered to students or recent graduates during the summer months, that focuses on working with AI and ML technologies. In these roles, participants gain hands-on experience by collaborating on projects involving data analysis, developing machine learning models, and implementing AI algorithms. These positions are designed to help individuals build practical skills, expand their technical knowledge, and explore potential career paths in the rapidly growing field of AI and ML.

What types of projects can I expect to work on during a Summer Artificial Intelligence Machine Learning internship?

As a Summer Artificial Intelligence Machine Learning intern, you can expect to contribute to projects involving data preprocessing, model training, and evaluation under the guidance of experienced mentors. Typical tasks may include developing and testing new algorithms, analyzing large datasets, and supporting the deployment of machine learning models. You'll often collaborate closely with data scientists, software engineers, and other interns, gaining exposure to real-world AI challenges and industry-standard tools. This hands-on experience not only builds technical skills but also improves teamwork and communication abilities, laying a strong foundation for a future career in AI and ML.

What are the key skills and qualifications needed to thrive as a Summer Artificial Intelligence Machine Learning intern, and why are they important?

To thrive as a Summer Artificial Intelligence Machine Learning intern, you need a solid background in mathematics, statistics, and programming (often Python), typically supported by coursework or projects in machine learning or data science. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is commonly expected. Strong problem-solving skills, curiosity, and the ability to collaborate effectively within diverse teams are valuable soft skills for this role. These competencies are crucial for successfully developing, implementing, and refining AI models in a fast-paced, innovation-driven environment.

What is the difference between Summer Artificial Intelligence Machine Learning vs Summer Data Science?

AspectSummer Artificial Intelligence Machine LearningSummer Data Science
Required CredentialsBachelor's or Master's in CS, AI, ML, or related fieldsBachelor's or Master's in CS, Data Science, Statistics, or related fields
Work EnvironmentResearch labs, tech companies, startupsData analysis teams, consulting firms, tech companies
Industry UsageDeveloping AI models, ML algorithms, automationData analysis, visualization, business insights
Common Search/ComparisonYesYes

Summer Artificial Intelligence Machine Learning focuses on developing AI systems and algorithms, often involving programming and model training. Summer Data Science emphasizes analyzing and interpreting data to generate insights. While both roles require strong technical skills and similar educational backgrounds, AI/ML roles are more research and development-oriented, whereas Data Science roles focus on data analysis and visualization.

More about Summer Artificial Intelligence Machine Learning jobs

What cities are hiring for Summer Artificial Intelligence Machine Learning jobs?

Cities with the most Summer Artificial Intelligence Machine Learning job openings:

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs?

The most popular types of Artificial Intelligence Machine Learning jobs are:

What states have the most Summer Artificial Intelligence Machine Learning jobs?

States with the most job openings for Summer Artificial Intelligence Machine Learning jobs include:

Infographic showing various Summer Artificial Intelligence Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Artificial Intelligence/ Machine Learning Developer

UNISSANT

Ashburn, VA

Full-time

Re-posted 11 days ago


Job description

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at www.unissant.com.

We are seeking an Artificial Intelligence/Machine Learning Developer to join our team and support our federal customer.

Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.

Essential Duties and Responsibilities:

Drive a big data approach to execute government requirements to manage and enrich data to gather new insights. As the AI/ML developer, an ideal candidate will be part of a team to provide consultative, architectural, program, and engineering support for a federal customer.

  • This is a client-facing position working on-site as per the requirements established by the DHS customer.
  • Develop, train, and deploy advanced AI/ML and Gen-AI models.
  • Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models.
  • Optimize model performance, ensuring accuracy, efficiency, and scalability.
  • Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual assistants, and generative content tools.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
  • Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning.
  • Conduct research and experiments to explore new AI techniques and applications, including prompt engineering, Advanced RAGs and fine-tuning LLMs.
  • Ensure compliance with data privacy and security regulations, especially when dealing with sensitive data and generative AI outputs.
  • This role will be responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management.

Work Experience and Job Skills:

  • 3+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture specifically.
  • Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs).
  • Strong proficiency in programming languages such as Python, R, Java and C/C++ (optional)
  • Experience with machine learning and generative AI frameworks.
  • Experience with natural language processing techniques (e.g., text classification, language generation).
  • Solid understanding of any of the cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies.
  • Solid understanding of MLOps and DevSecOps practices for deploying AI-ML models and applications
  • Proficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript).
  • Knowledge of database systems (e.g., SQL, NoSQL, Vector Database, Graph Database)and data warehousing concepts.
  • An understanding and competency surrounding data storage, accesses, and loading.
    • Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc.
    • ETL/ELT Concepts
    • Data warehouse concepts
    • SQL
  • Competency in data exploration, analytics, and feature engineering. (Python Specific)
    • Pandas / NumPy / Polars / PySpark
    • Plotly / Matplotlib (some form of data visualization)
    • Data encoding / normalizing / regularizing / etc.
  • Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets and problems.
  • Proficiency in ML Modeling - Scikit-Learn, Tensorflow, Keras, Pytorch.
  • Proficiency in NLP Tools SpaCy, ThinC, Gensim.
  • Knowledge of Gen-AI Tools Hugging Face models, OpenAI models, Grok.
  • General competency in various ML disciplines like Classification, Forecasting, Transformers, Generative, Anomaly Detection and Deep Learning.
  • Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment.
  • Adaptability to changing priorities and a willingness to learn and grow are essential.
  • Excellent organizational skills, and ability to effectively manage concurrent projects.
  • Comprehensive problem-solving skills with exceptional attention to detail.
  • Ability to learn, evolve, think creatively and proactively.
  • Able to work under pressure (at times) and to be extremely flexible with changing priorities
  • Ability to work independently and in a team setting, take ownership of and complete relatively complex tasks, effectively using available resources, as needed, with minimal guidance.

Education:

  • Bachelor's Degree in Computer Science, Information Technology Management or Engineering is preferred. Alternative work-related experience, Military Duty, and/or specialized or higher education may be substituted.

Certificates, Licenses and Registrations:

  • This federal program requires the candidates to be a United States Citizen.
  • Must have an active DHS clearance.
  • Any related systems engineering, or related technical certifications are desired.
  • AWS/Azure/GCP AI/ML certifications are preferred but not required.

Communication Skills:

  • Must have excellent written and verbal communication skills
  • Ability to convey technical information to non-technical individuals.
  • Demonstrated experience communicating effectively across internal and external organizations.
  • Must work well in a matrixed team environment.

Travel:

  • On-site in Ashburn, VA

Environmental Requirements:

  • Mainly sedentary; in an office environment
  • May be required to lift up to ten (10) pounds
  • Flexible in working extended hours

The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.

Please note: Candidate(s) will be required to go through pre-employment screening.

Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)