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Entry Level Ai Engineer Jobs in Riverside, CA (NOW HIRING)

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Entry Level Ai Engineer information

See Riverside, CA salary details

$31.3K

$72.4K

$123.1K

How much do entry level ai engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level ai engineer in Riverside, CA is $72,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,700.00 and $81,900.00 per year, depending on experience, location, and employer.

Can you become an AI engineer with no experience?

Entry-level AI engineering roles often require some foundational knowledge of programming, mathematics, and machine learning concepts, but many employers are willing to train candidates with strong problem-solving skills and a willingness to learn. Gaining experience through online courses, certifications, and personal projects can help you qualify for such positions. Building a portfolio demonstrating practical skills can improve your chances of entering the field without prior professional experience.

What are the key skills and qualifications needed to thrive as an Entry Level AI Engineer, and why are they important?

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

What types of projects do entry-level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer or AI research director, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and data analysis, along with significant experience and sometimes advanced degrees. Compensation at this level includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.

What does an Entry Level AI Engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.

What engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially in top tech companies or with executive-level responsibilities. Achieving this level typically requires advanced skills, extensive experience, and often leadership roles or stock options.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, data analyst, machine learning engineer, and research assistant. These positions typically require foundational knowledge of programming languages like Python, familiarity with machine learning frameworks, and basic understanding of algorithms and data structures.
What are the most commonly searched types of Ai Engineer jobs in Riverside, CA? The most popular types of Ai Engineer jobs in Riverside, CA are:
What job categories do people searching Entry Level Ai Engineer jobs in Riverside, CA look for? The top searched job categories for Entry Level Ai Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Entry Level Ai Engineer jobs? Cities near Riverside, CA with the most Entry Level Ai Engineer job openings:
Infographic showing various Entry Level Ai Engineer job openings in Riverside, CA as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $72,363 per year, or $34.8 per hour.
Pharma Technology Consultant- Experienced Associate

Pharma Technology Consultant- Experienced Associate

Pwc

Irvine, CA

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

New


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Pharma and Life Sciences

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

The Opportunity
As a Pharma Technology Consultant- Experienced Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Data and Analytics practice, you will focus on utilizing data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As an Associate, you will develop your skills and knowledge to deliver quality work, building meaningful client connections and learning how to manage and inspire others. You will be expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope.
In this role at PwC, you will take ownership and consistently deliver work that drives value for our clients and success as a team. You will be part of a fast-paced environment where every experience is an opportunity to learn and grow. By building a brand for yourself, you will open doors to more opportunities. You will gather information from a range of sources to analyze facts and discern patterns, committing to understanding how the business works and building commercial awareness. This role offers a chance to develop your potential and sustain performance through diverse perspectives and feedback.
Responsibilities
- Leveraging advanced analytics techniques to extract insights from large datasets and support data-driven decision-making
- Utilizing data manipulation, visualization, and statistical modeling to solve complex business problems for clients
- Collaborating with diverse teams to adapt to varying client challenges and project scopes
- Taking ownership of tasks and consistently delivering quality work that drives client value
- Building a personal brand by developing technical skills and knowledge within the data and analytics domain
- Engaging in analytic research and information gathering to inform strategic recommendations
- Preparing and writing reports to communicate findings and insights effectively
- Applying a learning mindset to continuously develop professional and technical standards
- Gathering information from multiple sources to analyze facts and discern patterns
- Supporting client engagements by contributing to project tasks and delivering value through data analysis
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating intellectual curiosity and a learning mindset
- Excelling in analytic research and data analysis
- Adapting to fast-paced environments and diverse client needs
- Conducting research and preparing insightful reports
- Gathering information to discern patterns and inform decisions

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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