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Fall Internships Jobs in California (NOW HIRING)

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$19.6K

$39.8K

$51.9K

How much do fall internships jobs pay per year?

As of May 28, 2026, the average yearly pay for fall internships in California is $39,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,252.00 and $44,065.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Fall Internship positions, and why are they important?

To thrive in Fall Internship roles, you generally need a strong academic background in a relevant field, a willingness to learn, and basic knowledge related to the industry. Familiarity with productivity tools such as Microsoft Office, Google Workspace, or industry-specific software may be required depending on the internship focus. Strong communication, time management, and teamwork skills help interns adapt quickly and contribute meaningfully to projects. These qualities enable interns to maximize their learning, make a positive impression, and potentially secure future opportunities.

What are some common challenges students face during fall internships and how can they overcome them?

Fall interns often juggle academic responsibilities alongside their internship commitments, which can create time management challenges. To overcome this, it's important to communicate clearly with both your academic advisors and your internship supervisor about your schedule and workload. Additionally, interns may encounter a steep learning curve as they adapt to professional expectations and new tasks. Seeking feedback, actively participating in team meetings, and taking initiative to ask questions can help you grow and make the most of your internship experience.

What are fall internships?

Fall internships are temporary work experiences that typically take place during the autumn academic semester, usually from late August or early September through December. They allow students or recent graduates to gain hands-on experience in their field of interest while balancing coursework. Fall internships can be part-time or full-time and may be paid or unpaid, depending on the employer. These opportunities help participants build professional skills, expand their networks, and enhance their resumes for future job searches.

Can you get internships in the fall?

Fall internships are common across many industries and typically run from September to December. Many organizations offer internship programs during this period, often requiring early application and interview processes. Internships in the fall provide opportunities to gain experience, develop skills, and build professional networks before the year ends.

What is the difference between Fall Internships vs Summer Internships?

AspectFall InternshipsSummer Internships
TimingTypically September to DecemberTypically June to August
Work EnvironmentSame as summer, often less crowdedPeak activity period, more networking opportunities
Credentials NeededUsually requires enrollment in a related programSame as fall, often more competitive
Industry UsageCommon in education, finance, techMost common for a wide range of industries

Fall Internships and Summer Internships differ mainly in timing, with fall internships occurring during the academic semester and summer internships during the summer break. Both offer valuable work experience, but summer internships often have more applicants and a more dynamic environment. Choosing between them depends on your academic schedule and career goals.

What are popular job titles related to Fall Internships jobs in California? For Fall Internships jobs in California, the most frequently searched job titles are:
What job categories do people searching Fall Internships jobs in California look for? The top searched job categories for Fall Internships jobs in California are:
What cities in California are hiring for Fall Internships jobs? Cities in California with the most Fall Internships job openings:
Fall Internships jobs near you

Financial Analyst Internship - Fall 2026

Varda Space Industries

El Segundo, CA

Other

Posted 15 days ago

Job description

About This Role 

Fall internships will range between the months of August and December. All dates dependent upon the university schedule of the selected students. Internships are full-time and on-site in Los Angeles, CA. To be considered for this internship, candidates must be actively enrolled in an accredited undergraduate or graduate degree program. 

Internships at Varda are optimal for students looking to grow technically and professionally while working on impactful projects critical to the company's success. You will be working on a collaborative team in a startup environment while being able to learn from some of most accomplished and experienced aerospace professionals in the world. We're dedicated to providing an experience that will let your decisions and contributions help drive Varda's success. 

As a part of the finance team you will collaborate with the team to develop data structures and enhance system capabilities for advanced analytics and dashboard creation. Utilize AI, Machine Learning, and LLMs to deliver business insights to executive leadership.

Responsibilities
  • Build data structure to support Business and Finance KPIs
  • Publish Dashboards to automate reporting
  • Review existing systems/tools and enhance reporting mechanisms
  • Enable Machine Learning to evolve automation
Basic Qualifications
  • Education: Currently enrolled in an undergraduate or postgraduate program, majoring in Computer Science or Computer Engineering. Preference for college juniors/rising seniors.
  • Programming Skills: Proficiency in Python, R, Java, Linux, C++, or VMWare.
  • AI/ML Knowledge: Strong understanding of Large Language Models (LLMs) and Machine Learning algorithms.
  • Framework Experience: Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
Preferred Skills And Experience 
  • Project Experience: Previous involvement in AI/ML projects or internships.
  • Deep Learning: Knowledge of deep learning and neural networks.
  • Data Visualization: Experience with tools like Matplotlib and Seaborn.
  • Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure.

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