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Machine Learning Engineer Intern Jobs in Hawthorne, CA

Machine Learning Engineer

El Segundo, CA · On-site

$77.60 - $176/hr

R0244683 Machine Learning Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical ...

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

The Data Engineer intern will support our software developers and machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent ...

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

The Data Engineer intern will support our software developers and machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

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 ...

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 ...

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 Hawthorne, CA salary details

$25.9K

$43.3K

$89.5K

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

As of Aug 22, 2026, the average yearly pay for machine learning engineer intern in Hawthorne, CA is $43,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,800.00 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 cities near Hawthorne, CA are hiring for Machine Learning Engineer Intern jobs?

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

Infographic showing various Machine Learning Engineer Intern job openings in Hawthorne, CA as of June 2026, with employment types broken down into 75% Full Time, 24% Part Time, and 1% Temporary. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $43,293 per year, or $20.8 per hour.

Machine Learning Engineer

Phase2 Technology

El Segundo, CA • On-site

$77.60 - $176/hr

Other

Medical, Life, Retirement, PTO

Posted 16 days ago


Job description

Job Number: R0244683

Machine Learning Engineer

The Opportunity:

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to solve problems to support the U.S. Space Force under the U.S. Department of War. As an AI Solutions Engineer on our Defense Technology Group, you'll develop AI-native solutions incorporating multiple disciplines spanning across software development, platform integration, and cloud engineering, and the latest AI tooling such as Bedrock or LLM, LangChain or LangGraph, Agentic workflows, and accelerating the missions with AI tools.

In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit AI technologies and emerging AI-native processes or workflows. You'll grow within a talented team of machine learning engineers across the company and collaborate with full-stack software engineers, data scientists, solutions architects, and defense mission experts to deliver world-class solutions to deliver new software capabilities to our customers with high velocity. Your skills and technical experience will help your clients navigate the landscape of Agentic workflows, AI/ML algorithms, full-stack development, DevSecOps, tools, and frameworks.

Work with us to solve real-world challenges and define AI strategy for the U.S. Space Force.

Join us. The world can't wait.

You Have:

  • 2+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying models

  • Experience with developing code using a common programming language, including Python

  • Experience with deep learning, computer vision, or generative AI

  • Experience with data handling and model development

  • Experience with leveraging AI productivity tools for coding, such as Cursor

  • Experience with the Agile software development lifecycle and full-stack web application development

  • Knowledge of JavaScript or TypeScript, Python, and HTML or CSS

  • Ability to solve complex and critical problems, iterate rapidly, and deliver results in both team and individual capacities

  • Secret clearance

  • Bachelor's degree

Nice If You Have:

  • Experience with integration of LLMs and Agentic Workflows within software stacks

  • Experience with Rust, or Java

  • Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch

  • Knowledge of AWS, Azure, GCP, Databricks, and Palantir Foundry

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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