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Summer Computer Science Banking Jobs in California

CA ยท On-site

The Department of Computer Science and Information Systems at LAVC consists of two full-time ... In response to the uprising and racial reckoning of summer 2020, LAVC began its journey towards ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Computer Science * Data Science & Analytics * Applied AI & Machine Learning * Enterprise ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Computer Science * Data Science & Analytics * Applied AI & Machine Learning * Enterprise ...

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Summer Computer Science Banking information

What is the difference between Summer Computer Science Banking vs Summer Data Analysis?

AspectSummer Computer Science BankingSummer Data Analysis
Required CredentialsComputer science coursework, programming skills, possibly finance knowledgeStatistics, data analysis, programming, and domain-specific knowledge
Work EnvironmentFinancial institutions, tech teams within banks, office settingData-focused teams, research departments, office or remote
Employer & Industry UsageBanking, finance, fintech companiesVarious industries including finance, marketing, healthcare
Common Search & ComparisonYesYes

Summer Computer Science Banking internships focus on applying programming and technical skills within financial institutions, often involving software development or IT support. Summer Data Analysis roles emphasize analyzing datasets to inform business decisions, requiring statistical and analytical skills. Both roles are popular among students seeking industry experience, but they differ in focus: one leans toward software and systems, the other toward data insights.

What is a Summer Computer Science Banking internship?

A Summer Computer Science Banking internship is a temporary position for students or recent graduates with a background in computer science, working within a bank or financial institution. Interns typically assist with technology-driven projects, such as software development, data analysis, or cybersecurity initiatives that support banking operations. This role provides hands-on experience in the intersection of finance and technology, offering exposure to real-world applications like developing financial software, automating processes, or improving online banking platforms. Interns also gain valuable networking opportunities and insight into potential career paths within the financial technology sector.

What types of projects do interns typically work on during a Summer Computer Science Banking internship?

Summer Computer Science Banking interns often contribute to real-world projects that support digital banking platforms, cybersecurity initiatives, or data analytics systems. Depending on the team, you might help develop internal tools, automate processes, or enhance customer-facing applications. Interns usually work closely with experienced engineers, product managers, and business analysts, gaining exposure to Agile development and cross-functional collaboration. This hands-on experience helps interns build both technical and professional skills relevant to a future in fintech.

What are the key skills and qualifications needed to thrive as a Summer Computer Science Banking intern, and why are they important?

To thrive as a Summer Computer Science Banking intern, strong programming skills (such as Python, Java, or C++), analytical thinking, and a foundational understanding of finance or banking principles are essential, often supported by progress toward a computer science degree. Familiarity with databases, version control systems like Git, and exposure to financial software or platforms are typically expected. Strong problem-solving abilities, teamwork, and effective communication set standout candidates apart in this dynamic environment. These skills are vital for quickly adapting to complex banking projects, collaborating across departments, and delivering robust technology solutions in a fast-paced industry.
What are the most commonly searched types of Computer Science Banking jobs in California? The most popular types of Computer Science Banking jobs in California are:
What cities in California are hiring for Summer Computer Science Banking jobs? Cities in California with the most Summer Computer Science Banking job openings:

Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

Eluvio

Berkeley, CA โ€ข On-site

Temporary, Internship

Re-posted 2 hours ago


Job description

If you are an outstanding upper undergrad, recent grad or grad student and are looking for an amazing last-minute Summer Internship - this is the opportunity for you! Eluvio AI is growing fast and we have a new internship position available in our Berkeley HQ!

Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through our state-of-the-art real-time content routing and just-in-time code execution. We are headquartered in Berkeley, CA.

Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions.

Responsibilities

  • Work with the Eluvio AI Machine Learning and Data Science Team
  • Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content
  • Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location
  • Develop multi-functional learning pipelines
  • Collaborate with product and engineering teams to implement models at scale
  • Help train and develop multimodal learning models using advanced learning techniques including RAG, self-supervised learning, semi-supervised, and transductive learning.

Requirements

Desired Qualifications

  • MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate
  • Deep classroom experience in data science or machine learning or prior internship
  • Comfortable with Python or R
  • Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn)
  • Knowledge of computer vision and natural language processing
  • Strong working experience with large multi-modal and language models preferred
  • Great communication skills, organized, able to multitask and be a team player
  • Ability to balance attention to detail with agile execution

Benefits

Paid summer internship with one of the top Video AI tech companies in the world!

Catered Lunches (really good food)

Great atmosphere, nice colleagues

Summer Party!