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Entry Level Deep Learning Jobs in California (NOW HIRING)

Apple

HomeKit Machine Learning Engineer

Bodega Bay, CA · On-site

$129K - $194K/yr

Familiar with recent advances in deep learning. Minimum Qualifications Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field. A strong curiosity, willingness to ...

Skild AI

Research Engineer (San Francisco)

San Francisco, CA · On-site

$100K - $300K/yr

Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc ... Base Salary Range: $100,000 - $300,000 USD Seniority Level: Entry level Employment Type: Full-time ...

Nvidia

GPU Compiler Engineer

Santa Clara, CA

... deep-learning compiler technology spanning architecture design and support through functional languages What we need to see: B.S. or degree in Computer Science/Engineering or equivalent experience 2+ ...

Nvidia

GPU Compiler Engineer

Santa Clara, CA · On-site

Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages What we need to see: * B.S. or degree in Computer ...

Pwc

AI & GenAI Data Scientist - Manager

Irvine, 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 ...

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

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 ...

Pwc

AI & GenAI Data Scientist - Manager

Los Angeles, 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 ...

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 ...

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 ...

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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 Sep 6, 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, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $87,319 per year, or $42 per hour.

HomeKit Machine Learning Engineer

Apple

San Francisco, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 683 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The HomeKit team provides the foundation which enables an entire ecosystem of secure and intelligent connected home devices. Our mission is to create a scalable, distributed system that will transform how people interact with their home accessories. We are looking for a dedicated and passionate engineer to help advance our Home platform intelligence and elevate it to new heights. As a Machine Learning Engineer you will have an opportunity to be part of Smart Home focused ML innovation within Apple, initially focused on Applied ML for Computer Vision. The team is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products. You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to; crafting creative approaches to datasets, model training, and on-device inference optimizations. Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ideas. We value team members who can quickly prototype, iterating all the way to high-quality implementations.
Description
As a member of this team, you will use your background to:
- Develop features and models to improve the capabilities of systems that use machine learning
- Scale up model training, build data pipelines, and tuning to improve system performance
- Review and implement pioneering machine learning algorithms
- Build software that improves rate of experimentation
Minimum Qualifications
Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field.
A strong curiosity, willingness to dive deep into unfamiliar problems, and an eagerness to learn and grow in a fast-evolving field.
Proficient in Python and deep learning frameworks like PyTorch, as well as familiarity with a language like Swift, C, C++ or Objective C.
Preferred Qualifications
Experience with training ML models including deep learning based models and model optimization.
Able to define metrics, evaluate ML models, and perform error analysis.
Familiar with recent advances in deep learning.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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