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Entry Level Deep Learning Jobs in California (NOW HIRING)

Entry-Level Software Programmer SYNERGISTIC wants every candidate to know we are always here to ... Preferred Skills NLP, Deep Learning, Data visualization, Scala, Django. No third party candidates ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java ... NLP, Deep Learning, Data visualization, Scala, Django No third party candidates or c2c candidates ...

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 ...

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 ...

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 ...

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 ...

... deep learning and natural language processing tasks - Collaborating with team members to adapt to ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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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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 4, 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:
Infographic showing various Entry Level Deep Learning job openings in California as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 58% Full Time, 37% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $87,319 per year, or $42 per hour.
Entry level java programmer with NLP Deep learning/(Remote)

Entry level java programmer with NLP Deep learning/(Remote)

SynergisticIT

Fresno, CA • On-site

Other

Posted 7 days ago


Job description

Job Opportunity at SynergisticIT

SynergisticIT is aware that the job market is challenging due to tech layoffs, which has led to a flood of laid-off jobseekers competing with existing jobseekers. For entry-level job seekers to get client interviews and jobs, they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients. Since 2010, we have helped jobseekers differentiate themselves by providing clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT, we don't just focus on getting you a job; we make careers. All positions are open for all visas and US citizens.

We at SynergisticIT understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, PayPal, Western Union, Visa, Walmart Labs, etc. to name a few. We have an excellent reputation with the clients. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers.

Who Should Apply

Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1B and green card filing to candidates. Candidates can benefit from skill enhancement if they fall into the below categories: candidates who lack experience or are freshers with no actual on-job experience with projects with clients, have had a break in careers, lack technical competency or skills being demanded by clients, different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the USA.

Please check the below links to see success outcomes of our candidates: Synergisticit Pics/Salaries of Successful Candidates.

SynergisticIT at Oracle Cloudworld 2023

SynergisticIT at Gartner Data & Analytics Summit

Required Skills for Java/Software Programmers

Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT

Highly motivated, self-learner, and technically inquisitive

Experience in programming language Java and understanding of the software development life cycle

Project work on the skills

Knowledge of Core Java, JavaScript, C++, or software programming

Spring boot, Microservices, Docker, Jenkins, and REST API's experience

Excellent written and verbal communication skills

Required Skills for Data Science/Machine Learning

Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT

Project work on the technologies needed

Highly motivated, self-learner, and technically inquisitive

Experience in programming language Java and understanding of the software development life cycle

Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools

Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis

Please understand skills and relevant experience on real-world projects are required by clients for selection even if it's a junior or entry-level position. The additional skills and project work with hands-on experience building projects at the client site are the only way a candidate can be picked by clients. If not having the skills or hands-on project work at the client site, then candidates can opt for skill enhancement to gain the required skills and project work. No third-party candidates or C2C candidates.

Please only apply to the posting. No phone calls please. Shortlisted candidates would be reached out.