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Entry Level Machine Learning Jobs in Campbell, CA

SynergisticIT

Java Devops Entry Level

Stanford, CA · On-site

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS ...

SynergisticIT

Python/R Developer

Menlo Park, CA · On-site

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Scientists, Data Engineers, Machine Learning engineers for ...

SynergisticIT

Python/R Developer

Palo Alto, CA · On-site

$58 - $79.50/hr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

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All JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Campbell, CA

Entry Level Machine Learning information

See Campbell, CA salary details

$14

$20

$25

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

As of Jun 28, 2026, the average hourly pay for entry level machine learning in Campbell, CA is $20.21, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $21.97 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.
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Entry Level Machine Learning jobs near you
Machine/Saw Operator

Machine/Saw Operator

Industrial Metal Supply Co

San Jose, CA • On-site

$20 - $25/hr

Full-time

Posted 11 days ago

Industrial Metal Supply rating

6.1

Company rating: 6.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

285th of 343 rated retail wholesalers

Job description


WHO IS INDUSTRIAL METAL SUPPLY?
IMS is the only metal distributor that can service manufacturers, fabricators and job shops to contractors, maintenance departments and hobbyists all within hours. For the past 77 years we have been constantly finding ways to save time and money for all our clients. IMS provides custom cut metals for multiple industries including Aerospace; Energy; Semiconductor; Transportation; Construction; Medical Device, and Mining. Our inventory is massive, quality standards unmatched, and our turn-around time is in a league of its own.

JOB SUMMARY
The Machine Saw Operator will safely operate forklifts, side loaders and other industrial equipment to move raw metal materials from inventory to metal-cutting cells. This is a great opportunity for someone with material handling with entry level machine operation experience to learn and become proficient with various saw cutting machines (including plate, band and shear industrial saws).

CORE JOB DUTIES
  • Ensures orderly distribution of products by pulling orders from inventory, delivering production materials and supplies to other cells, and staging finished product for distribution.
  • Inspect cut material for accuracy and defects using measuring devices (calipers, micrometers, pin-gauges, etc.)
  • Contributes to the orderly operation of stock and/or materials storage area.
  • Maintains inventory by identifying, labeling, and keeping materials and supplies in stock, recording location of inventory, and reporting shortages.
QUALIFICATIONS
  • High School Diploma or GED (preferred)
  • Basic math and mechanical skills
  • Experience with measurement hand tools such as micrometers and calipers
  • 1 + years’ experience operating a forklift
  • 1 + years' experience working on a saw machine, or other industrial machinery
  • 1 + year of experience working in a warehouse, production, distribution or manufacturing environment
  • Read, write, and speak in English
  • Experience in the metal cutting/distribution industry is a plus
  • Ability to lift up-to 50 lbs.
WHAT ARE THE BENEFITS OF WORKING AT IMS?
As an IMS employee, you can expect: a supportive, inclusive atmosphere for a team that values your contributions. Opportunities for growth and development via work experience and offerings from our HR/People Resources team and Learning and Development program. Frequent in-office events, lunch-and-learns, volunteer opportunities, as well as the following:





Tuesday-Thursday