ZipRecruiter

Log In

2

Entry Level Deep Learning Jobs in California (NOW HIRING)

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... This role is a strong fit for candidates who are excited about deep learning systems, model ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... This role is a strong fit for candidates who are excited about deep learning systems, model ...

Pwc

AI & GenAI Data Scientist - Manager

Sacramento, CA

$99K - $232K/yr

... Applying deep learning techniques and neural networks to improve predictive analytics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Irvine, CA

$99K - $232K/yr

... Applying deep learning techniques and neural networks to improve predictive analytics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

San Diego, CA · On-site

$99K - $232K/yr

... Applying deep learning techniques and neural networks to improve predictive analytics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

1440 Multiversity

Commis Chef (Entry-Level)

Scotts Valley, CA · On-site

$20.75 - $26.25/hr

... philanthropic learning destination nestled in the redwoods of the Santa Cruz Mountains. Every ... At 1440, hospitality is more than service - it's Deep Hospitality : an authentic and genuine love ...

next page

Showing results 1-20

All JobsEntry Level Deep Learning JobsEntry Level Deep Learning Jobs in California

Entry Level Deep Learning information

See California salary details

$20.1K

$87.3K

$192.4K

How much do entry level deep learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for entry level deep learning in California is $87,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,210.00 and $145,415.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Deep Learning vs Entry Level Machine Learning?

AspectEntry Level Deep LearningEntry Level Machine Learning
Required CredentialsBachelor's in CS, Data Science, or related; familiarity with neural networksBachelor's in CS, Data Science, or related; basic understanding of algorithms
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, finance, healthcare, and various industries
Employer & Industry UsageAI-focused roles, research institutionsBroader industry applications, including analytics and automation
Common Search & ComparisonOften compared for specialization in neural networks and deep architecturesMore general, covers broader ML techniques

Entry Level Deep Learning focuses on neural networks and complex models, often requiring knowledge of frameworks like TensorFlow or PyTorch. Entry Level Machine Learning covers a wider range of algorithms and techniques. Both roles share foundational skills but differ in specialization and application scope.

What are entry level deep learning jobs?

Entry level deep learning jobs are positions designed for individuals who are new to the field of artificial intelligence and machine learning, typically recent graduates or those with limited professional experience. These roles often involve assisting in building, training, and testing neural network models, as well as preprocessing data and supporting senior data scientists or machine learning engineers. Entry level positions may also include tasks such as researching recent advancements, implementing standard algorithms, and contributing to team projects under supervision. A strong foundation in Python, deep learning frameworks like TensorFlow or PyTorch, and an understanding of basic machine learning concepts are usually required.

What are some common challenges faced by entry-level deep learning professionals, and how can they be addressed?

Entry-level deep learning professionals often encounter challenges such as understanding complex architectures, managing large datasets, and optimizing model performance. Navigating unfamiliar frameworks and debugging code can also be daunting at first. These challenges can be addressed by seeking mentorship from experienced colleagues, participating in code reviews, and dedicating time to hands-on projects. Additionally, staying updated with the latest research and utilizing online communities or forums can provide valuable support and resources.

What are the key skills and qualifications needed to thrive as an Entry Level Deep Learning professional, and why are they important?

To thrive as an Entry Level Deep Learning professional, you need a solid understanding of machine learning fundamentals, mathematics (especially linear algebra and calculus), and proficiency in programming languages such as Python. Experience with frameworks like TensorFlow or PyTorch and familiarity with version control systems like Git are typically required. Strong problem-solving abilities, eagerness to learn, and the ability to work collaboratively set candidates apart in this field. These skills and qualities are essential for building, troubleshooting, and improving deep learning models in a rapidly evolving technical landscape.
What are the most commonly searched types of Deep Learning jobs in California? The most popular types of Deep Learning jobs in California are:
What are popular job titles related to Entry Level Deep Learning jobs in California? For Entry Level Deep Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Deep Learning jobs in California look for? The top searched job categories for Entry Level Deep Learning jobs in California are:
Entry Level Deep Learning jobs near you
Infographic showing various Entry Level Deep Learning job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $87,319 per year, or $42 per hour.

Financial Analyst Internship - Fall 2026

Varda Space Industries

El Segundo, CA

Other

Posted 27 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.

Apply