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Entry Level Machine Learning Jobs in Riverside, CA

Buyer I/II

Yucaipa, CA · On-site

$36K - $62K/yr

Purchases machinery, equipment, tools, parts, supplies, raw materials, or services as needed to ... Level I -Entry level position learning to follow purchasing and receiving procedures in Epicor.

Purchases machinery, equipment, tools, parts, supplies, raw materials, or services as needed to ... Level I -Entry level position learning to follow purchasing and receiving procedures in Epicor.

... machining, electroplating, value engineering, and contact assembly. We are AS9100D / ISO9001:2008 ... Level I Entry level position learning to follow procedures for cutting and sharpening tools and/or ...

Typist Clerk I

Chino, CA · On-site

$32K - $42K/yr

... Learning Communities. We are looking for talented and committed leaders to be part of our award ... DISTINGUISHING CHARACTERISTICS This is an entry level position characterized by assisting other ...

Production Operator I

Irvine, CA · On-site

$17.78 - $24.52/hr

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

Showing results 21-40

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 Sep 13, 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 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 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 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.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.

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:

Infographic showing various Entry Level Machine Learning job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $37,898 per year, or $18.2 per hour.

Buyer I/II

Yucaipa, CA • On-site

Sorenson Engineering, Inc.
Manufacturing • 501 - 1,000 employees

$36K - $62K/yr

Full-time

Posted 25 days ago


Key responsibilities

  • Solicits bid proposals, prepares purchase orders, and reviews requisitions for goods and services.

  • Communicates with production and vendors to discuss defective or unacceptable goods, equipment, machinery, services or raw material and determines corrective action.

  • Participates in inventory control activities, including material issues, cycle counting, min/max determinations, and physical inventories.


Job description

Description
Sorenson Engineering located in Yucaipa, California has for over six decades been a globally recognized leader in micro technology solutions for Aerospace/Defense, RF interconnect, Microwave Test, Fiber Optics, and Medical industries. Our focus is delivering value through innovation by using our expertise in precision screw machining, electroplating, value engineering, and contact assembly. We are AS9100D / ISO9001:2008 registered and certified with Nadcap accreditations for Heat Treatment (including Induction Annealing) of BeCu, and Chemical Processing, including our state-of-the-art Gold plating facility.
We deliver ultra-precise Micro Technology Solutions for the most challenging component applications. We thrive in a culture of innovation, attracting exceptional individuals who continually seek new challenges. As a leader in next-generation microtechnology, our highly skilled problem solvers face the industry's toughest challenges, performing on a global level, to advance the leading edge of high-precision solutions.
Sorenson Engineering is seeking a candidate with experience in manufacturing within the purchasing department.
Summary:
Purchases machinery, equipment, tools, parts, supplies, raw materials, or services as needed to support SEi's operational requirements. Maintains physical inventory through Epicor (MRP).
Level I-Entry level position learning to follow purchasing and receiving procedures in Epicor. Maintains approved (AS9100) vendor list and monitors open purchase order report. Labels incoming MRO, materials for storage, ensures cycle counts and tracks MRO items.
Level II-Intermediate level position issues request for quotes (RFQs), requisitions, and purchase orders for maintenance, repair and operation (MRO), supplies and special purchases as needed.
Responsibilities:
  • Solicits bid proposals, prepares purchase orders and reviews requisitions for goods and services.
  • Communicates with production and vendors to discuss defective or unacceptable goods, equipment, machinery, services or raw material and determines corrective action.
  • Negotiates and analyzes price proposals and other information to determine best pricing and delivery cost. Resolves internal vendor invoice discrepancies to support Accounts Payable.
  • Participates in inventory control activities for warehoused items and or raw materials that include material issues, cycle counting, min/max determinations and quantity adjustments and physical inventories. Maintains accurate part number information.
  • Maintains and reviews Epicor and or manual records of items purchased, costs, deliveries, product, quantities, condition, payments, credits, consignments, back logs, returns, and inventories.

Knowledge and Abilities:
Knowledge of purchasing principles and best practices. Manages and creates files and electronic records. Competence in Microsoft Word, Excel, and Outlook and able to effectively function in the ERP software system. Able to work in a team with co-workers to resolve work issues, interpret instructions both written and oral. Able to communicate effectively in English.
Education and Experience:
High School Diploma or some college coursework preferred. Previous work experience in manufacturing setting preferred but not necessary.
Physical Demands:
Must be able to periodically walk and or travel to other areas of the plant as directed; ascend staircases, use of stools and ladders. Occasionally exert push force up to 30 pounds, must have good eye sight and hand dexterity, and able to identify and distinguish colors.
Work Environment:
Within safety guidelines, there will be exposure to noise, moving mechanical parts, oils/solvents, fumes, and odors that may affect the eyes, ears, nose, throat and/or skin.
Compensation Disclosure:
In accordance with California law, the salary range for this position reflects a good faith estimate of the base compensation. Actual compensation will be determined based on experience and other factors permitted by law.
Equal Employment Opportunity:
EOE - Disability/Vet. All qualified applicants will receive consideration for employment without regard to any protected characteristic in accordance with applicable federal, state, and local laws.
Background Checks & Drug Testing:
Background screenings and pre-employment drug tests may be conducted following a conditional offer of employment, where permitted by law.
California Applicant Privacy Notice:
If you are a California resident, personal information collected as part of your application will be processed in accordance with applicable California law.
You may have the right to request access to, correct, or delete your personal information, subject to certain exceptions.
To learn more, please review our Privacy Policy:
https://www.sorensoneng.com/privacy-policy/
To submit a request, please contact us at privacy@sorensoneng.com or call 855-479-4241. We may require verification of your identity before processing your request.