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Algorithm Engineer Intern information

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How much do algorithm engineer intern jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for algorithm engineer intern in Irvine, CA is $20.73, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $22.45 per hour, depending on experience, location, and employer.

What does an algorithm engineer intern do?

An Algorithm Engineer Intern develops, optimizes, and implements algorithms to solve complex problems in fields like machine learning, data processing, or computer vision. They work closely with experienced engineers to analyze large datasets, improve existing models, and write efficient code. Responsibilities may include researching new algorithmic approaches, debugging issues, and testing performance. This role requires strong mathematical skills, programming proficiency (commonly in Python, C++, or Java), and familiarity with data structures and algorithms.

What are the key skills and qualifications needed to thrive as an algorithm engineer intern?

Excelling as an Algorithm Engineer Intern requires strong problem-solving abilities, proficiency in programming languages such as Python or C++, and a solid understanding of data structures, algorithms, and mathematics, often supported by ongoing studies in computer science or a related field. Familiarity with version control systems like Git, as well as experience with machine learning frameworks or relevant academic coursework, is typically expected. Excellent communication skills, a collaborative mindset, and eagerness to learn set candidates apart in this team-oriented environment. These skills are crucial to successfully contribute to real-world projects, adapt quickly, and effectively solve technical challenges in dynamic work settings.

What types of projects or tasks can I expect as an algorithm engineer intern?

As an Algorithm Engineer Intern, you can expect to work on a mix of real-world projects, such as developing and optimizing algorithms, analyzing data sets, or assisting in research and prototyping. You may also help implement algorithmic solutions for existing products or services under the guidance of senior engineers and participate in code reviews and team meetings. Interns often collaborate closely with software engineers, data scientists, and other team members, gaining exposure to both technical and cross-functional work. These experiences provide valuable hands-on training and a springboard for future roles in software engineering or data science.

What job categories do people searching Algorithm Engineer Intern jobs in Irvine, CA look for?

The top searched job categories for Algorithm Engineer Intern jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Algorithm Engineer Intern jobs?

Cities near Irvine, CA with the most Algorithm Engineer Intern job openings:

Infographic showing various Algorithm Engineer Intern job openings in Irvine, CA as of August 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 100% In-person job distribution, with an average salary of $43,123 per year, or $20.7 per hour.

Data Engineering Summer Intern (May-Aug '27)

Skyworks

Irvine, CA

Temporary, Internship

Posted 11 days ago


Job description

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.

Requisition ID: 78258 

Description

We are looking for a motivated Student Engineer to join our Enterprise Systems and Data Engineering team. You will work with experienced engineers to build, enhance, test, and support modern data solutions using Databricks and Microsoft Azure. The internship offers practical exposure to enterprise-scale data pipelines, data quality, cloud storage, governance, and production engineering practices.

This summer internship period is from May/June to August/September 2027.

Responsibilities

What you will work on - 

  • Develop and maintain data ingestion and transformation pipelines using Python, SQL, PySpark, and Databricks notebooks.
  • Use Databricks Workflows and jobs to orchestrate, schedule, monitor, and troubleshoot data processing activities.
  • Build and test ETL/ELT solutions for structured and semi-structured data from enterprise systems, databases, files, and APIs.
  • Work with Delta Lake and lakehouse concepts, including Bronze, Silver, and Gold data layers.
  • Apply data profiling, validation, reconciliation, and quality checks to improve data reliability.
  • Assist with onboarding new datasets into Azure Data Lake Storage and Databricks.
  • Support pipeline monitoring, root-cause analysis, defect resolution, and documentation.
  • Use Git and CI/CD practices for version control, peer review, testing, and controlled deployments.
  • Collaborate with data engineers, analysts, platform teams, and business stakeholders to understand requirements and deliver usable data products.

Databricks Learning Focus

  • Hands-on exposure may include: Databricks workspace and notebooks, Apache Spark and PySpark, Delta Lake, Databricks Workflows, SQL Warehouses, Unity Catalog fundamentals, data quality controls, performance basics, and lakehouse architecture.

What You Could Learn

  • Databricks & Spark - Develop notebooks and scalable transformations with SQL, Python, and PySpark.
  • Pipeline Engineering - Understand ingestion, orchestration, testing, monitoring, and operational support.
  • Cloud Data Platforms - Work with Azure-based storage, integration, and data processing patterns.
  • Data Quality & Governance - Apply validation, documentation, access control, lineage, and reliability practices.
  • Engineering Delivery - Gain experience with Git, code reviews, CI/CD, Agile delivery, and stakeholder collaboration.
Required Experience and Skills
  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Electronics Engineering, or a related technical discipline.
  • Ability to work on-site for 3 month internship period
  • Basic programming proficiency in Python and the ability to write clear, testable code.
  • Working knowledge of SQL, relational databases, joins, aggregations, and data manipulation.
  • Understanding of data structures, algorithms, and software engineering fundamentals.
  • Strong analytical and problem-solving skills with attention to detail.
  • Clear written and verbal communication skills, with the ability to collaborate in a team environment.
  • Curiosity, accountability, and willingness to learn new technologies.
Desired Experience and Skills
  • Academic, internship, or personal project experience with Databricks, Apache Spark, or PySpark.
  • Exposure to Microsoft Azure, Azure Data Factory, Azure Data Lake Storage, or Azure SQL.
  • Understanding of ETL/ELT, data warehousing, lakehouse, or medallion architecture concepts.
  • Familiarity with Git, Azure DevOps, CI/CD, Linux, REST APIs, or Power BI.
  • Awareness of data governance, security, access control, or data quality principles.
  • Databricks or Microsoft Azure learning credentials are an advantage but not required.

Ideal Candidate Profile

  • Takes ownership of assigned work and communicates progress or blockers early.
  • Approaches problems methodically and validates results before considering work complete.
  • Can learn independently while seeking guidance at the right time.
  • Values clean code, documentation, data security, and reliable delivery.
  • Is interested in building a long-term career in data engineering and cloud data platforms.

The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.


Skyworks logo

About Skyworks

Sourced by ZipRecruiter

We are empowering the wireless networking revolution, connecting people, places and things around the world. As the demand for ubiquitous, “always-on” connectivity increasingly expands, our innovative, high performance analog semiconductors are enabling breakthrough communication platforms from global industry leaders – changing the way we live, work, play and learn. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

Industry

Construction

Company size

201 - 500 Employees

Headquarters location

Buffalo, NY, US