2

Entry Level Deep Learning Jobs in California (NOW HIRING)

CA · On-site

$16.90/hr

Throughout the program, you'll not only develop a deep understanding of the lending landscape ... Dedication to Learning: Embrace wholeheartedly a comprehensive training program tailored to ...

Throughout the program, you'll not only develop a deep understanding of the lending landscape ... Dedication to Learning: Embrace wholeheartedly a comprehensive training program tailored to ...

Throughout the program, you'll not only develop a deep understanding of the lending landscape ... Dedication to Learning: Embrace wholeheartedly a comprehensive training program tailored to ...

Throughout the program, you'll not only develop a deep understanding of the lending landscape ... Dedication to Learning: Embrace wholeheartedly a comprehensive training program tailored to ...

next page

Showing results 1-20

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 Sales - Recent Grad

Entry Level Sales - Recent Grad

loanDepot

Long Beach, CA • On-site

$16.90/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago


loanDepot rating

8.2

Company rating: 8.2 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

Position Summary:
loanDepot is offering an incredible opportunity for individuals seeking a challenging yet fulfilling career in sales with a renowned industry leader. Our consumer direct sales approach boasts a team of over 350+ inside sales team members who cater to our valued customers nationwide. This is your moment to become part of something significant!
Joining us as an ACES Lending Officer means embarking on a transformative journey where you'll undergo comprehensive training to ace the SAFE and National Licensing exams. Throughout the program, you'll not only develop a deep understanding of the lending landscape, covering both mortgages and HELOCS, but also collaborate closely with our experienced training & sales leadership teams. Our aim is to equip you with the necessary expertise to excel in the ever-evolving lending industry, laying the foundation for a successful and fulfilling career as a future Licensed Lending Officer.
Who We're Looking For:
Our ideal candidate is someone who prioritizes customer satisfaction, is comfortable with technology, is proactive, and excels at building strong sales relationships. While previous lending experience isn't necessary, we do require a proven sales record demonstrating the ability to meet and surpass sales targets.
Responsibilities:
  • Dedication to Learning: Embrace wholeheartedly a comprehensive training program tailored to cultivate expertise across the entire loan life cycle.
  • Sales Aptitude: Ability to identify and pursue sales opportunities effectively.
  • Financial Acumen: Understanding of basic financial concepts and mortgage products.
  • Adaptability: Willingness to learn and adapt to industry changes and company policies.
  • Time Management: Capacity to prioritize tasks and meet deadlines in a fast-paced environment.
  • Ethical Standards: Commitment to maintaining high ethical standards in all interactions.
  • Technology Proficiency: Comfort with using software for loan processing and customer management.
  • Customer Focus: Dedication to delivering exceptional customer service throughout the loan process.
Requirements:
  • Sales Experience: Minimum of 2 years of sales experience with a proven history of meeting and exceeding goals is REQUIRED. Call center sales experience is highly preferred.
  • Location: Must be able to commute to Irvine, CA full-time.
  • Licensing Requirements: Must have the ability to pass the NMLS exam and meet mortgage requirements for obtaining state and national licenses.
  • Customer Focus: Demonstrated ability to effectively connect with clients through phone presentations and cultivate strong client relationships.
  • Reliability: Consistent attendance and punctuality are essential, with a collaborator attitude and a willingness to embrace coaching for continuous improvement.
  • Education: A bachelor’s degree is highly preferred.
Why work for #teamloanDepot:
  • Industry leader when it comes to training individuals effectively to join the mortgage industry.
  • Company provided leads, so you don’t have to source your own referrals or purchase leads with your own wallet.
  • Competitive compensation plan including hourly paid training.
  • Comprehensive benefits package including medical/dental/vision options, 401K matching, tuition reimbursement, parental leave, and much more. (loanDepotlivewell.com).
  • Best in class leadership team to support you during the transition.
Base pay is one part of our total compensation package for an ACES Lending Officers. The base hourly rate for this role is $16.90/hour during training; in addition to a monthly per origination bonus incentive once you are licensed and talking to customers.
Post ACES Training, you will move to our Licensed Lending Officer position which is comprised of an hourly minimum wage plus lucrative bonus structure based on fundings. If you were to transition to a Licensed Lending Officer—there would be a new compensation structure shared at that time.
About loanDepot:
loanDepot (NYSE: LDI) is a digital commerce company committed to serving its customers throughout the home ownership journey. Since its launch in 2010, loanDepot has revolutionized the mortgage industry with a digital-first approach that makes it easier, faster, and less stressful to purchase or refinance a home. Today, loanDepot enables customers to achieve the American dream of homeownership through a broad suite of lending and real estate services that simplify one of life's most complex transactions. With headquarters in Southern California and offices nationwide, loanDepot is committed to serving the communities in which its team lives and works through a variety of local, regional, and national philanthropic efforts.
We are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Company Description

loanDepot, America's lender, matches borrowers through technology and high-touch customer care with the credit they need to fuel their lives. As a fast-growing national consumer lender, the loanDepot platform is disrupting finance by dissolving the lines between mortgage and nonmortgage credit.
The company has funded over $100 billion in loans since inception, and is passionate about emerging financial technology and dynamic product delivery supported by excellent customer service to empower consumers.
Headquartered in Southern California, loanDepot employs 5,400+ lending professionals across the country including 1,700+ licensed loan officers who hold 10,000+ licenses. The company operates 180+ local loan locations nationwide. NMLS # 174457

What loanDepot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom