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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

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 ...

SynergisticIT

data (Entry Level)

San Francisco, CA · On-site

$20 - $26.75/hr

Django * Deep Learning * NLP Benefits of working with our clients: E-Verified. Our Candidates always get projects with well-known IT firms like Google, Apple, PayPal, Amazon, etc. (Top Fortune ...

Etched

Technical Recruiter (Entry Level)

San Jose, CA · On-site

$2.0K/mo

The learning curve is real, and so is the role and your responsibility. Key Responsibilities * Own ... Are genuinely curious about AI, hardware, or deep tech - you don't need to be an engineer, but you ...

Etched

Technical Recruiter (Entry Level)

San Jose, CA · On-site

$2.0K/mo

The learning curve is real, and so is the role and your responsibility. Key Responsibilities * Own ... Are genuinely curious about AI, hardware, or deep tech - you don't need to be an engineer, but you ...

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All JobsDeep Learning 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 Jul 27, 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 engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially in senior or executive roles at large tech companies. These roles often require advanced skills, extensive experience, and sometimes stock options or bonuses as part of compensation packages.

Can I get an AI job with no experience?

Entry level deep learning positions often require some foundational knowledge of programming, machine learning concepts, and tools like Python and TensorFlow. While prior experience is helpful, candidates can improve their chances by completing relevant online courses, building projects, and gaining certifications to demonstrate their skills to employers.

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.

Which 3 jobs will survive AI?

Entry Level Deep Learning roles are likely to persist in fields requiring complex problem-solving, creativity, and domain expertise, such as AI research, data science, and machine learning engineering. These jobs involve tasks that are difficult to automate fully and often require specialized skills, programming knowledge, and continuous learning to adapt to evolving technologies.

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 is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Entry-level roles in deep learning generally do not reach this salary level, which is reserved for experienced professionals with significant expertise and responsibilities.
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 July 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $87,319 per year, or $42 per hour.
Artificial Intelligence Engineer

Artificial Intelligence Engineer

Emonics LLC

San Jose, CA • On-site

Other

Posted 3 days ago

Job description

AI Engineer — Entry Level Job Description


We are looking for an Entry-Level AI Engineer to help build AI-driven applications and machine learning solutions. The candidate will work with AI models, APIs, and data pipelines to support intelligent systems.


Responsibilities

Develop AI and machine learning models

Assist with model training and evaluation

Work with NLP and LLM applications

Integrate AI APIs into applications

Requirements

Bachelor’s degree in Computer Science, AI, or related field

Strong Python programming skills

Basic knowledge of machine learning and deep learning

Familiarity with TensorFlow or PyTorch

Emonics logo

About Emonics

Sourced by ZipRecruiter

Emonics LLC is a Certified Minority Business Enterprise as designated by the National Minority Supplier Diversity Council. Emonics provide the relevant talent at the right moment. We are a global technology firm with a strong customer focus and an IT and Engineering solutions provider catering to a diverse client base while focusing on finding solutions. We place high value on developing meaningful connections and conversations. We find, align, provide, and manage various managed IT and staffing services. Yes! It’s true! Our experts strive to become an extension of your HR department. We enable our clients to access top industry professionals. Our highly skilled team of specialists generates and integrates very profitable products and strategies. All our strategies are designed to help our clients reach their operational and financial objectives.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Piscataway, NJ, US

Year founded

2016

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