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Entry Level Machine Learning Jobs in Long Beach, CA

Homee

Interior Stylist

Los Angeles, CA · On-site

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... This is an entry level position. You will be trained by our internal design department on exactly ...

Homee

Interior Stylist

Los Angeles, CA

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... This is an entry level position. You will be trained by our internal design department on exactly ...

Homee

Freelance Interior Stylist

West Hollywood, CA · On-site

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... This is an entry level position. You will be trained by our internal design department on exactly ...

Homee

Freelance Interior Stylist

West Hollywood, CA · On-site

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... This is an entry level position. You will be trained by our internal design department on exactly ...

Homee

Freelance Interior Stylist

West Hollywood, CA · On-site

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... This is an entry level position. You will be trained by our internal design department on exactly ...

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All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Long Beach, CA

Entry Level Machine Learning information

See Long Beach, CA salary details

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

As of Sep 7, 2026, the average hourly pay for entry level machine learning in Long Beach, CA is $18.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $19.95 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.
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What are the most commonly searched types of Machine Learning jobs in Long Beach, CA?

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

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

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

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

Cities near Long Beach, 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 Long Beach, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $38,197 per year, or $18.4 per hour.

Dubbing Services Project Coordinator

Pixelogic Media Partners, LLC

Burbank, CA • On-site

$24 - $29/hr

Full-time

Re-posted 15 days ago

Job description

Company:

Pixelogic Media Partners, LLC provides distribution services and technology solutions to the entertainment industry. We help studios, broadcasters and digital retailers localize and distribute their feature and episodic titles to global audiences on-time and with superior quality.

Our service offerings cover end-to-end workflows including language services such as scripting, subtitling, access services, dubbing, text and metadata localization in over 50 languages. Our technical services master and prepare this content in all distribution products including digital cinema, digital media and physical media (Ultra HD Blu-ray, Blu-ray and DVD).

To date, we serviced thousands of titles for iTunes, Google Play, YouTube, Netflix, Amazon, Movies Anywhere and others. We also authored thousands of Ultra HD Blu-ray, Blu-ray and DVD discs. Our research and development team works on cutting-edge technologies such as 4K, high dynamic range (Dolby Vision, HDR10+), artificial intelligence and machine learning, software automation and our proprietary end-to-end operating platform branded as pHelix.

Hourly Rate: $24-$29/hr.

Monday-Friday, day shift.

Onsite at Burbank office.

Responsibilities:

  • Coordinate information and assets for teams.
  • Liaise with internal client teams to identify and define requirements, scope and objectives
  • Assign tasks to internal resources and assist with schedule management
  • Make sure that clients' needs are met as projects evolve
  • Monitor project progress and handle any issues that arise
  • Act as the point of contact and communicate project status to all participants
  • Escalate any potential issues with schedule, specs, etc. immediately to Project Manager(s)
  • Work with the Project Manager to eliminate blockers
  • Create and maintain comprehensive project documentation, plans and reports
  • Abide by security policies and protect information assets entrusted to you.
  • Data entry tasks into both internal and client owned systems
  • Perform other tasks as assigned.

Requirements

Qualifications:

Solid organizational skills, including multitasking and time-management

Experience in Microsoft Office and other database systems

Recent college graduate (or equivalent experience) for entry-level position in office environment

Interest in Film & TV Digital Distribution a plus

Interest in Localization (Dubbing, Subtitling, etc.) preferred

Customer Service experience a plus

Able to work independently and with a team

Apply