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Entry Level Machine Learning Jobs in Torrance, CA

Pwc

AI & GenAI Data Scientist - Manager

Los Angeles, CA

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Long Wall

CNC Machinist

El Segundo, CA

$22 - $26/hr

CNC Machinist (Entry Level) Description We are looking for a Machine Shop Technician to support ... The Machine Shop Technician will be responsible for learning and executing manufacturing processes ...

Long Wall

CNC Machinist

El Segundo, CA

$22 - $26/hr

CNC Machinist (Entry Level) Description We are looking for a Machine Shop Technician to support ... The Machine Shop Technician will be responsible for learning and executing manufacturing processes ...

Long Wall

CNC Machinist

El Segundo, CA · On-site

$22 - $26/hr

CNC Machinist (Entry Level) Description We are looking for a Machine Shop Technician to support ... The Machine Shop Technician will be responsible for learning and executing manufacturing processes ...

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All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Torrance, CA

Entry Level Machine Learning information

See Torrance, CA salary details

$12

$18

$22

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

As of Sep 4, 2026, the average hourly pay for entry level machine learning in Torrance, CA is $18.24, 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.
More about Entry Level Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Torrance, CA?

The most popular types of Machine Learning jobs in Torrance, CA are:

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For Entry Level Machine Learning jobs in Torrance, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning jobs in Torrance, CA look for?

The top searched job categories for Entry Level Machine Learning jobs in Torrance, CA are:

What cities near Torrance, CA are hiring for Entry Level Machine Learning jobs?

Cities near Torrance, CA with the most Entry Level Machine Learning job openings:

Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Torrance, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $37,933 per year, or $18.2 per hour.

Java Developer -Entry Level (Los Angeles) at Emonics LLC Los Angeles, CA

Shell Lubricants Hub Hamburg

Los Angeles, CA • On-site

$60 - $80/hr

Other

Posted 3 days ago

New

Job description

Java Developer -Entry Level (Los Angeles) job at Emonics LLC. Los Angeles, CA.

Position Overview

Emonics LLC is seeking a curious and motivated Machine Learning Intern to join our AI/ML team in Dallas. This internship provides hands‑on exposure to real‑world projects involving data analysis, model building, and algorithm optimization. It is an ideal opportunity for students or recent graduates who want to apply their academic knowledge in a professional setting and gain practical experience in machine learning and data science.

Key Responsibilities
  • Assist in developing, training, and evaluating machine learning models.
  • Preprocess, clean, and analyze datasets to extract valuable insights.
  • Support data scientists and engineers in implementing ML workflows and pipelines.
  • Research new algorithms and frameworks to improve model performance.
  • Visualize results and present findings to the project team.
  • Document methodologies, experiments, and outcomes for internal use.
Required Qualifications
  • Currently pursuing or recently completed a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
  • Fundamental understanding of machine learning algorithms (supervised and unsupervised).
  • Proficiency in Python and experience with ML libraries such as scikit‑learn, TensorFlow, or PyTorch.
  • Familiarity with data analysis tools like Pandas, NumPy, or Jupyter Notebooks.
  • Strong problem‑solving, analytical, and communication skills.
Preferred Qualifications
  • Exposure to cloud platforms (AWS, Azure, or GCP) for model deployment.
  • Experience with data visualization tools (Matplotlib, Seaborn, Power BI).
  • Previous internship, coursework, or personal projects in AI or ML.
What You’ll Gain
  • Hands‑on experience with real‑world datasets and ML development cycles.
  • Mentorship from experienced data scientists and engineers.
  • Opportunities to contribute to impactful AI solutions.
  • A potential path toward a full‑time position at Emonics LLC.
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