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Machine Learning Developer Intern Jobs in Long Beach, CA

Socket.dev

Machine Learning Engineer

Los Angeles, CA · On-site

$180 - $250/hr

Role Description Founding Data Scientist / Machine Learning Engineer We're looking for a highly ambitious Data Scientist to help build the predictive intelligence layer behind nowfluence. This is not ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end. What You'll Do: * Research, develop and deploy cutting-edge deep learning ...

Voxelcloud

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 ...

Voxelcloud

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 ...

Crowe LLP

Machine Learning Engineer

Costa Mesa, CA

$62K - $100K/yr

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 ...

Crowe LLP

Machine Learning Engineer

Los Angeles, CA

$62K - $100K/yr

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 ...

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$105K - $143K/yr

Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation * Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training ...

Phase2 Technology

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 ...

Yum! Brands

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 ...

Yum Brands

Sr Machine Learning Engineer

Irvine, CA

$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 ...

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Showing results 21-40

All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Long Beach, CA

Machine Learning Developer Intern information

See Long Beach, CA salary details

$26.8K

$44.8K

$92.5K

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

As of Aug 19, 2026, the average yearly pay for machine learning developer 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 does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

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

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

Machine Learning Developer Intern jobs near you

Machine Learning Engineer

Socket.dev

Los Angeles, CA • On-site

$180 - $250/hr

Other

Posted 14 days ago

Job description

Company Description

nowfluence is building the trusted infrastructure layer for influencer marketing.

Backed by USC and Techstars, we're creating the software, data, and intelligence systems that help brands discover creators, launch campaigns, track ROI, manage payments, and make smarter investment decisions across the creator economy.

Our mission is simple: make influencer marketing measurable, scalable, and accessible to everyone. From global consumer brands to local restaurants, cafés, and emerging businesses, we're building the platform that helps companies confidently invest in creator partnerships.

As creator marketing becomes one of the largest advertising channels in the world, we're building the systems that power it.

Role Description

Founding Data Scientist / Machine Learning Engineer

We're looking for a highly ambitious Data Scientist to help build the predictive intelligence layer behind nowfluence.

This is not a reporting or dashboard role.

You'll be responsible for developing the models, pipelines, and analytics systems that help brands answer critical questions:

  • Which creators are most likely to drive revenue?
  • Which partnerships should be renewed?
  • How can campaign outcomes be predicted before budgets are spent?
  • How do we make influencer marketing more accessible and successful for SMBs?

You'll work across product, engineering, and data to transform creator, campaign, audience, and attribution data into scalable machine learning systems used by brands running influencer programs at scale.

Your work will directly influence how businesses allocate marketing budgets and make decisions across the creator economy.

Requirements
  • Strong experience with Python, Machine Learning, and Predictive Modeling
  • Experience building production-grade data pipelines and analytics infrastructure
  • Proficiency with React, Next.js, TypeScript, and Tailwind CSS
  • Experience with PostgreSQL, APIs, and modern cloud architectures
  • Strong understanding of statistics, experimentation, and large-scale data analysis
  • Experience deploying ML models into production environments
  • Startup mindset with a desire to build and move quickly
Bonus
  • Recommendation Systems
  • Marketing Attribution
  • Shopify Data
  • Creator Economy Experience
  • LLMs and AI Agents
  • Data Warehousing & ETL Systems

Join us as we build the intelligence layer powering the future of influencer marketing.

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