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Machine Learning Engineer Intern Jobs in Long Beach, CA

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

Machine Learning Engineer II

Los Angeles, CA · On-site

$105K - $143K/yr

In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production ...

We're looking for a Machine Learning Engineer to train custom models using our internal data. This work spans design generation, cost estimation, evaluating the complexity and difficulty of a given ...

We're looking for a Machine Learning Engineer to train custom models using our internal data. This work spans design generation, cost estimation, evaluating the complexity and difficulty of a given ...

We're looking for a Machine Learning Engineer to train custom models using our internal data. This work spans design generation, cost estimation, evaluating the complexity and difficulty of a given ...

We're looking for a Machine Learning Engineer to train custom models using our internal data. This work spans design generation, cost estimation, evaluating the complexity and difficulty of a given ...

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML/CV solution that are integral to Turion's Space Domain Awareness data products. You will work on ...

MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in building deep learning solutions for computer vision problems * Proficient with at least one major ...

Showing results 21-40

Machine Learning Engineer Intern information

See Long Beach, CA salary details

$26.8K

$44.8K

$92.5K

How much do machine learning engineer intern jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning engineer intern in Long Beach, CA is $44,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are popular job titles related to Machine Learning Engineer Intern jobs in Long Beach, CA?

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

What job categories do people searching Machine Learning Engineer Intern jobs in Long Beach, CA look for?

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

What cities near Long Beach, CA are hiring for Machine Learning Engineer Intern jobs?

Cities near Long Beach, CA with the most Machine Learning Engineer Intern job openings:

Infographic showing various Machine Learning Engineer Intern job openings in Long Beach, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,776 per year, or $21.5 per hour.

Machine Learning Engineer

Ascent Developer Solutions

Los Angeles, CA • On-site

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday


Job description

About Ascent
Ascent Developer Solutions is a leading private lending platform, serving real estate developers nationwide in the acquisition, renovation, and construction of residential real estate. Founded by a leadership team with a deep understanding and personal experience in virtually every facet of real estate development, Ascent is uniquely positioned to create custom, innovative lending solutions for a variety of real estate development business strategies.
ROLE SUMMARY
The Machine Learning Engineer is a major contributor in driving our company's innovation and data-driven decision-making. By harnessing advanced analytics, machine learning, and big data technologies, this role directly impacts strategic business outcomes, revealing actionable insights and predicting trends that shape the future of our operations. Embedded at the intersection of data and strategy, the Data Scientist empowers the organization to navigate complex challenges, optimize performance, and unlock new growth opportunities.
ESSENTIAL DUTIES
Data and analysis
  • Analyze public records and other real estate data using NLP and machine learning techniques to identify patterns and cluster entities.
  • Develop methods for evaluating and selecting large language models (LLMs) for deployment.
  • Build predictive models to identify potential borrowers, likelihood of default, and quality/valuations of properties for lending activities.
  • Identify new business opportunities through tracking competitor trends and keeping management aware of developer lending market trends and insights.
  • Assist in fostering a culture of test & learn within the company.

Leadership
  • Serve as analytics consultant to a broad variety of line-of-business teams.
  • Partner with technology teams on product changes and impacts on data/performance.
  • Mentor junior analysts on various data science techniques.

QUALIFICATIONS
  • Bachelor's degree in quantitative field.
  • 5-7 years of experience in analytical or consulting roles.
  • Strong data science skills with AI/ML related Python libraries such as PyTorch, TensorFlow, and Keras. Conceptual knowledge of LLM's.
  • Strong knowledge of statistics, hypothesis testing, and setting up experiments.
  • Must have deployed several models to production.
  • Exposure to data engineering skills.
  • Strong communication and partnership skills, effective cross-department collaboration skills.
  • Self-starter who can work under limited supervision.
  • Mentoring skills to help develop junior analysts.

WORK ENVIRONMENT
  • This role works on-site from Ascent's Encino office 2 days per week

THE PAY
Salary range is $130,000-$150,000 per year, with a discretionary bonus of 20% per year.
Our Benefits
We offer a comprehensive benefits package designed to support your health, well-being, and work-life balance. Our benefits include five health plans, two dental plans, health savings and flexible spending accounts, vision coverage, a 401(k) plan, and other optional benefits from which to choose.
Our Pledge
We pledge to be fair and considerate in hiring and promoting individuals, ensuring everyone can contribute their fullest potential regardless of background, identity, or personal circumstances. By promoting equal opportunity, we not only enhance our workplace but also contribute to a more just and equitable society. At Ascent, we stand united in building a community where everyone is empowered to succeed. Thank you for joining us on our journey towards a more inclusive future.