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Entry Level Deep Learning Jobs in California (NOW HIRING)

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 ...

SynergisticIT

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

NLP models, Deep Learning models for image classification Desired Candidate Profile Skills required: * Hands on experience Python scripting * Hands on experience in building Machine Learning and ...

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 ...

Motion Recruitment

Recruiter - Entry Level

San Jose, CA · On-site

$50K/yr

... deep expertise of a dedicated local market team beside you. • Facilitate positive process ... your learning throughout your time at Motion Recruitment • Ongoing one-on-one support and ...

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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 Aug 16, 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 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 the key skills and qualifications needed to thrive as an entry level deep learning professional?

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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,319 per year, or $42 per hour.

Python Developer - W2 Only - Fremont CA, Onsite Interview

Pacific Consultancy Services

Fremont, CA • On-site

$55 - $75.75/hr

Other

Posted 27 days ago

Job description

*** INPERSON INTERVIEW ***
Job Description:
Primary Skills:  Python (advanced), PyTorch (advanced), Pandas (advanced), Machine Learning (advanced), Deep Learning (advanced)
Contract Type: C2C and W2 
Duration:6+ months
Location: Fremont, CA (onsite interview)
In Person Interview Date: 07/27/2026 at Client Office in Fremont, CA.
Experience Required: 2+ Years - Entry Level Candidates encourages to apply.
PCS is an equal opportunity employer.


Job Summary:
You will develop and deploy sophisticated machine learning models to enhance Client internal service applications that manage operations, customer interactions, and claims processing. This role involves tackling intricate problems and translating them into scalable AI solutions. You will collaborate closely with various operational teams to ensure the effectiveness and reliability of these critical systems.

Key Responsibilities:

  • Build and deploy ML models for service and customer support.
  • Partner with operations teams to solve challenges.
  • Maintain and monitor deployed ML models actively.
  • Process and integrate varied data types into solutions.
  • Define and implement AI solutions from vague requirements.

Must-Have Skills:

  • Proven Python proficiency for data-intensive tasks.
  • Experience with a major deep learning framework.
  • Established background in production ML systems.

Domain / Industry Experience: Experience in automotive service operations or customer support is preferred.

Apply