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Entry Level Machine Learning Jobs in Riverside, CA

Overview This position is for an entry level operator on 2nd shift who will work in the Raw ... automated machinery. * Performs delivery of Semi-Finished Goods to Warehousing using carts or ...

Production activities may vary between working on semi-automated machine line, manual carton ... High school degree or equivalent required. * Entry level experience. * Basic math, writing/reading ...

... entry-level candidates with relevant experience or projects ... Comfort working with physical systems (robots, vehicles, or machinery) * Strong attention to detail ...

... entry-level candidates with relevant experience or projects ... Comfort working with physical systems (robots, vehicles, or machinery) * Strong attention to detail ...

... entry-level candidates with relevant experience or projects ... Comfort working with physical systems (robots, vehicles, or machinery) * Strong attention to detail ...

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Entry Level Machine Learning information

See Riverside, CA salary details

$12

$18

$22

How much do entry level machine learning jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for entry level machine learning in Riverside, CA is $18.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.30 and $19.81 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
What are the most commonly searched types of Machine Learning jobs in Riverside, CA? The most popular types of Machine Learning jobs in Riverside, CA are:
What are popular job titles related to Entry Level Machine Learning jobs in Riverside, CA? For Entry Level Machine Learning jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Riverside, CA look for? The top searched job categories for Entry Level Machine Learning jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Entry Level Machine Learning jobs? Cities near Riverside, CA with the most Entry Level Machine Learning job openings:
Credit Analyst

$23 - $33/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

About the Role:
Responsible for the review, analysis, and evaluation of credit data for commercial loans. This is an entry level, learning/development role.

  • Responsible for collection of financial information and conducting analysis by generating, running, and utilizing system-generated reports.

  • Works with clients and Commercial Relationship Managers to analyze loan needs and options available to meet clients' financial goals.

  • Spreads financial statements and related information to financial spreadsheets and/or software programs for analysis.

  • Analyzes Accounts Receivable, Inventory and other collateral information to determine adequate collateral coverage for Asset Based loans.

  • Analyzes financial data related to new and renewal commercial loan requests, including lines of credit, asset-based lines, equipment financing loans and/or commercial real estate loans.

  • Conducts credit investigations and prepares credit approval reports and summarizes credit.

  • Monitors existing loans to ensure complete conformity with terms.

  • Presents facts and offers opinions to Commercial Relationship Managers concerning applicant's credit worthiness.

  • Complies with all Federal, State, and local laws/regulations as applicable.

  • Provide exemplary customer service to internal and external clients.

  • Demonstrates compliance with all bank regulations for assigned job function and applies to designated job responsibilities - knowledge may be gained through coursework and on-the-job training. Keeps up to date on regulation changes.

  • Follows all Bank policies and procedures, compliance regulations, and completes all required annual or job-specific training.

  • Maintain a working knowledge of Bank's written policies and procedures regarding Bank Secrecy Act, Regulation CC, Regulation E, Bank Security and other regulations as applicable to this job description.

  • May be asked to coach, mentor, or train others and teach coursework as subject matter expert.

  • Actively learns, demonstrates, and fosters the Columbia corporate culture in all actions and words.

  • Takes personal initiative and is a positive example for others to emulate.

  • Embraces our vision to become "Business Bank of Choice"

  • May perform other duties as assigned.


About You:
Education
Experience

  • Less than 1 years - of relevant credit analysis, underwriting experience, commercial or consumer lending experience (Required)


Skills

  • Basic analytical and problem-solving skills.

  • Strong written and verbal communications skills.

  • Basic understanding of banking and credit administration environments

  • Basic credit and credit quality skills including accounting, financial statement spreading, and cash flow analysis experience.

  • Basic knowledge of credit policies, procedures, practices and documentation.

  • Basic understanding of personal and business financial statements and tax returns.

  • Basic knowledge of loan documentation and collateral perfection.

  • Ability to learn loan origination, financial spreading, and other banking software.

  • Ability to work effectively with individuals and groups across the company to manage internal and external customer relationships.

  • Proficiency with personal computers and related software packages such as Word and Excel, and other business machines.


Travel Requirements

  • Occasional


The pay range for this role is $23.00 to $33.00.

The pay rate for the selected candidate is dependent upon a variety of non-discriminatory factors including, but not limited to, job-related knowledge, skills, and experience, education, and geographic location. The role may be eligible for performance-based incentive compensation, and those details will be provided during the recruitment process.

Primary Location: Ability to work fully onsite at posted location(s).

3403 Tenth Street Suite 830 Riverside CA 92501

Our Benefits:


We are proud to offer a competitive total rewards package including base wages and comprehensive benefits.

We offer eligible associates comprehensive healthcare coverage (medical, dental, and vision plans), a 401(k)-retirement savings plan with employer match for qualifying associate contributions, an employee assistance program, life insurance, disability insurance, tuition assistance, mental health resources, identity theft protection, legal support, auto and home insurance, pet insurance, access to an online discount marketplace, and paid vacation, sick days, volunteer days, and holidays. Benefit eligibility begins the first day of the month following the date of hire for associates who are regularly scheduled to work at least thirty hours weekly.


Our Commitment to Diversity:


Columbia Bank is an equal opportunity and affirmative action employer committed to employing, engaging, and developing a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, age, sexual orientation, gender identity, gender expression, protected veteran status, disability, or any other applicable protected status or characteristics. If you require an accommodation to complete the application or interview(s), please let us know by email: careers@columbiabank.com.


To Staffing and Recruiting Agencies:


Our posted job opportunities are only intended for individuals seeking employment at Columbia Bank. Columbia Bank does not accept unsolicited resumes or applications from agencies and Columbia Bank will not be responsible for any fees related to unsolicited resume submissions. Staffing and recruiting agencies are not authorized to submit profiles, applications, or resumes to this site or to any Columbia Bank employee and any such submissions will be considered unsolicited unless requested directly by a member of the Talent Acquisition team.