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Internship Aws Sagemaker Jobs (NOW HIRING)

iSoftStone

Associate AI Developer

White Plains, NY · On-site

$20/hr

AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton ... Prior internship, capstone, or project work involving AI, data, or cloud services * Education BS/MS ...

iSoftStone

Associate AI Developer

White Plains, NY · On-site

$20/hr

AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton ... Prior internship, capstone, or project work involving AI, data, or cloud services * Education • ...

iSoftStone

Associate AI Developer

White Plains, NY

AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton ... Prior internship, capstone, or project work involving AI, data, or cloud services * Education • ...

iSoftStone

Associate AI Developer

White Plains, NY

$20/hr

AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton ... Prior internship, capstone, or project work involving AI, data, or cloud services * Education • ...

PROFESSIONAL STAFFING SERVICES GROUP INC

Be Seen First

Applied Data Scientist NEW 7-15-2026

Orlando, FL · Remote

$140K - $160K/yr

... internships) in data science and machine learning, including production deployments. * 3+ years of ... Familiarity with MLOps tooling (e.g., SageMaker, Lambda, Airflow, MLflow) and cloud platforms (AWS ...

PROFESSIONAL STAFFING SERVICES GROUP INC

Be Seen First

Applied Data Scientist NEW 7-15-2026

Orlando, FL · Remote

$140K - $160K/yr

... internships) in data science and machine learning, including production deployments. * 3+ years of ... Familiarity with MLOps tooling (e.g., SageMaker, Lambda, Airflow, MLflow) and cloud platforms (AWS ...

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How much do internship aws sagemaker jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for internship aws sagemaker in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AWS SageMaker Intern, and why are they important?

To thrive as an AWS SageMaker Intern, you need a solid understanding of machine learning concepts, Python programming, and data analysis, typically supported by coursework or academic projects. Familiarity with AWS cloud services, SageMaker, Jupyter Notebooks, and relevant certifications such as AWS Certified Cloud Practitioner or AWS Certified Machine Learning – Specialty is highly beneficial. Strong problem-solving abilities, eagerness to learn, and clear communication skills help interns stand out in collaborative environments. These skills and qualities are essential for successfully developing and deploying machine learning models while adapting to real-world cloud-based workflows.

What is an Internship in AWS SageMaker?

An Internship in AWS SageMaker typically involves working with Amazon's cloud-based machine learning platform, SageMaker, to develop, train, and deploy machine learning models. Interns may assist with data preparation, model selection, and deployment tasks, as well as collaborate with data scientists and engineers on real-world projects. The internship offers hands-on experience with cutting-edge ML tools, exposure to cloud computing, and opportunities to learn industry best practices. It's ideal for students or recent graduates interested in machine learning and cloud technologies.

What types of projects can an intern working with AWS SageMaker typically expect to work on?

As an intern focused on AWS SageMaker, you can expect to work on projects involving building, training, and deploying machine learning models using the SageMaker platform. Typical tasks include data preprocessing, experimenting with different algorithms, optimizing model performance, and integrating SageMaker with other AWS services. You'll often collaborate with data scientists, engineers, and product managers, gaining hands-on experience in real-world ML workflows. These projects provide valuable exposure to both the technical aspects of machine learning and the best practices for working in cloud-based environments.

What is the difference between Internship Aws Sagemaker vs Data Scientist Intern?

AspectInternship Aws SagemakerData Scientist Intern
Required SkillsBasic knowledge of AWS, machine learning, PythonStatistics, data analysis, Python/R, machine learning
Work EnvironmentCloud platform, AWS services, collaborative teamsData analysis, modeling, research teams
Industry UsageTech, cloud services, AI developmentTech, finance, healthcare, research

Internship Aws Sagemaker focuses on hands-on experience with AWS cloud services and deploying machine learning models, while Data Scientist Interns work on analyzing data, building models, and deriving insights. Both roles require programming skills and familiarity with machine learning, but Internship Aws Sagemaker emphasizes cloud deployment and AWS tools, whereas Data Scientist Internships focus more on data analysis and statistical modeling.

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Internship Aws Sagemaker jobs near you
Infographic showing various Internship Aws Sagemaker job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

2026 Fall Health AI Scholar, Digital Health Algorithms

Samsung Research America Internship

Mountain View, CA • On-site, Remote

Other

Posted 26 days ago

Job description

Lab Summary:

Samsung Research America Digital Health Algorithms Team (https://www.sra.samsung.com/digital-health/) collaborates with top universities, hospitals, and healthcare-industry partners to collect large-scale data and develop novel AI/ML algorithms to transform how healthcare is delivered. We use design thinking to address some of healthcare's toughest challenges, from improving care and producing better outcomes, to reducing costs and expanding access. 

Focusing on wearable, mobile, and cloud-based form factors, our multi-disciplinary team develops innovative technologies that we then turn into groundbreaking commercial products to support clinicians, patients, and consumers. We use advanced sensor technology to capture physiologic responses and make use of our AI/ML framework to build algorithms for developing digital biomarkers and digital interventions. We employ data analytics to supplement clinical care and facilitate remote patient monitoring, thereby helping patients make behavioral changes that improve their health and daily lives. Our work has been internationally recognized with 70+ peer-reviewed publications and 10 design awards.

Our portfolio of digital health algorithmic solutions are important tools in helping clinicians and their patients monitor and manage serious health conditions, such as cardiovascular disease, pulmonary disease, and cancer; as wells chronic illnesses including mental health, diabetes, hypertension, depression, sleep disorders, and obesity. Our work encompasses the entire range of processes, from ideating, developing, and incubating; to designing and delivering market-ready products; to supporting and evolving currently released products.

Position Summary:

We are looking for a highly motivated and talented individual with solid ML/AI/GenAI technology background to join the Digital Health Algorithms Team as a Health AI Scholar for a 10-month residency program,. This position is ideal for a fresh graduate PhD student or a postdoctoral researcher with digital health research experience in multi-modal physiological timeseries algorithm development and passionate about applying cutting-edge artificial intelligence techniques to health-related challenges. You will have the opportunity to work alongside a diverse and innovative team, leveraging your expertise to advance our AI-driven health initiatives.

Samsung's unique advantage in the consumer electronics market and growing focus on digital health will provide you with unprecedented large data sets and healthcare analytics challenges.

Position Responsibilities:

  • Design, implement, and optimize advanced AI models, including self-supervised learning, for health applications.
  • Work with large-scale time-series datasets, developing robust algorithms to extract meaningful insights.
  • Collaborate with multidisciplinary teams to translate AI-driven insights into impactful healthcare solutions.
  • Train and fine-tune deep learning models using AWS AI services, ensuring scalability and efficiency.
  • Contribute to the development of novel AI methodologies to address complex healthcare challenges.
  • Actively engage in team discussions, fostering a collaborative and inclusive work environment.

Required Skills:

  • PhD (near completion) or postdoctoral experience in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, or a related field.
  • Strong expertise in deep learning techniques (e.g., self-supervised learning, transformer architectures, CNNs, RNNs).
  • Proven experience working with time-series datasets, preferably in health-related domains.
  • Proficiency in developing and deploying models using AWS AI services including SageMaker and Redshift.
  • A track record of peer-reviewed publications in top AI/health-related journals or conferences.
  • Programming using languages such as Python, R, Android, C/C++, Java.
  • Demonstrated ability to work collaboratively in multidisciplinary teams.

Apply