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Machine Learning Engineer Intern Jobs in Newark, DE

SAP

SAP iXp Intern - AI Solution Advisory

Newtown Square, PA · On-site

$14.25 - $19.25/hr

SAP iXp Intern - AI Solution Advisory Location: Hudson Yards, NY Duration: 6 Months (with potential ... wrangling/engineering * Experience with artificial intelligence and machine learning * Strong ...

SAP

SAP iXp Intern - AI Solution Advisory

Newtown Square, PA · On-site

$14.25 - $19.25/hr

SAP iXp Intern - AI Solution Advisory Location: Newtown Square, PA Duration: 6 Months (with ... wrangling/engineering * Experience with artificial intelligence and machine learning * Strong ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE

$131K - $175K/yr

Design and develop scalable AI platforms to support various machine learning and deep learning ... Strong knowledge of programming languages such as Python, R, and/or Java. * Experience with cloud ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Design and develop scalable AI platforms to support various machine learning and deep learning ... Strong knowledge of programming languages such as Python, R, and/or Java. * Experience with cloud ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE

$131K - $175K/yr

Design and develop scalable AI platforms to support various machine learning and deep learning ... Strong knowledge of programming languages such as Python, R, and/or Java. * Experience with cloud ...

Evonik

Summer Internship

Chester, PA

$21 - $27/hr

... are learning in school. Evonik's Summer Professional Enrichment (SPE) Program is a 12 week ... Process Engineering Intern: Contributed to the startup activities of a new chemical process ...

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Showing results 21-40

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Newark, DE

Machine Learning Engineer Intern information

See Newark, DE salary details

$25K

$41.8K

$86.3K

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

As of Aug 21, 2026, the average yearly pay for machine learning engineer intern in Newark, DE is $41,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $45,100.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are popular job titles related to Machine Learning Engineer Intern jobs in Newark, DE?

For Machine Learning Engineer Intern jobs in Newark, DE, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Intern jobs in Newark, DE look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Newark, DE are:

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Newark, DE as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,632 per year, or $20 per hour.

Site Reliability Engineer III - Machine Learning

JPMorgan Chase & Co

Wilmington, DE

$55.25 - $73.50/hr

Full-time

Medical, Retirement

Posted 4 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description


There's nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world's most complex and mission-critical systems.


 

As a Site Reliability Engineer III at JPMorgan Chase within the Corporate Technology, Consumer & Community Banking Risk team, you will tackle complex, wideranging business challenges by designing and implementing clear, efficient technical solutions. You will use code and cloud infrastructure to configure, maintain, monitor, and optimize applications and their underlying platforms, independently decomposing existing systems and iteratively enhancing them. In this role, you are a key contributor to your team, sharing deep expertise in endtoend operations, availability, reliability, and scalability to ensure the resilience and performance of critical applications and services.
 

Job Responsibilities
  • Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate, supporting adoption of site reliability engineering best practices within your team
  • Collaborates with other software engineers and teams to design, develop, test, and implement deployment and reliability approaches using automated continuous integration and continuous delivery pipelines
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
  • Implements infrastructure, configuration, and network as code for the applications and platforms in your remit
  • Collaborates with technical experts, key stakeholders, and team members to resolve complex problems and proactively address issues using service level indicators and objectives before they impact customers
  • Applies enterprise-authorized AI capabilities within the work environment to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to SLO outcomes.
  • Familiar with availability, reliability, scalability, and solutions in their applications and works with partners to improve these outcomes iteratively

  • Proactively recognizes road blocks and identifies improvements to solve business problems, including exploring new technologies where appropriate 

    Required qualifications, capabilities, and skills
  • Formal training or certification on site reliability engineering concepts and 3+ years applied experience 
  • Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform
  • Proficient in at least one programming language such as Python, Java/Spring Boot, and .Net
  • Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows with strong validation habits and awareness of data sensitivity
  • Ability to validate AI-assisted operational recommendations before applying changes, escalating when uncertain and following data sensitivity requirements
  • Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, AI, Android, etc.)
  • Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection
  • Experience with continuous integration and continuous delivery tooling
  • Familiarity with container and container orchestration and troubleshooting common networking technologies and issues
     
            Preferred qualifications, capabilities, and skills 
      Experience orchestrating data/compute workflows (e.g., Airflow or AWS Step Functions).
       Familiarity with Databricks jobs, clusters, and workspace operations (experience using Python or REST APIs to interact is a plus).
       Infrastructure-as-Code experience; Terraform Enterprise exposure preferred.
       GitOps and configuration management exposure (e.g., Argo CD/Flux patterns), and operational readiness automation tied to pull-request workflows.
      Familiarity with OpenTelemetry or similar standards for metrics/logs/traces instrumentation and correlation.
       AWS certification preferred.
 


JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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