ZipRecruiter

Log In

1

Machine Learning Engineer Intern Jobs in Carson, CA

Layup Parts

Machine Learning Engineer

Huntington Beach, CA · On-site

$120 - $185/hr

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 ...

New

Yum

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 ...

Escalon

Machine Learning Engineer

Santa Monica, CA · On-site

$100K - $120K/yr

The Role Our client is seeking a Machine Learning Engineer to help design and implement intelligent systems that extract meaning and predictive value from computer vision and behavioral datasets.

New

Layup Parts

Machine Learning Engineer

Huntington Beach, CA · On-site

$120K - $185K/yr

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 ...

Layup Parts

Machine Learning Engineer

Huntington Beach, CA · On-site

$120K - $185K/yr

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 ...

Layup Parts

Machine Learning Engineer

Huntington Beach, CA · On-site

$120K - $185K/yr

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 ...

New

Turion Space

Machine Learning Engineer

Irvine, CA

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 ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

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 ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Carson, CA

Machine Learning Engineer Intern information

See Carson, CA salary details

$26.7K

$44.5K

$92K

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

As of Aug 8, 2026, the average yearly pay for machine learning engineer intern in Carson, CA is $44,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $48,100.00 per year, depending on experience, location, and employer.

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 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 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 job categories do people searching Machine Learning Engineer Intern jobs in Carson, CA look for? The top searched job categories for Machine Learning Engineer Intern jobs in Carson, CA are:
What cities near Carson, CA are hiring for Machine Learning Engineer Intern jobs? Cities near Carson, CA with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Carson, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,535 per year, or $21.4 per hour.

Staff Machine Learning Engineer

Prodege LLC

El Segundo, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted 11 days ago

Job description

Job Description:
Read this part first:
This is a role for someone who wants to solve hard machine learning problems by building production systems that matter.
We're looking for a Staff Machine Learning Engineer who loves shipping production ML systems, owning complex technical problems end-to-end, and partnering closely with Product, Data Engineering, and the business to deliver measurable outcomes.
This is a deeply hands-on individual contributor role. You'll spend the majority of your time building, deploying, experimenting with, and improving production machine learning systems, not managing people or operating primarily at the architectural strategy level.
If you enjoy taking ownership of difficult ML problems, iterating quickly through experimentation, and seeing your work directly improve revenue, marketplace efficiency, and customer experience, this role is for you.
You'll build production ML systems for a business serving 120M+ registered users that has delivered $2B+ in lifetime rewards, powered by a data platform with 50M daily events, 500M daily pipeline records, a 100TB Iceberg lake, and 50 Kafka topics supporting both batch and real-time workflows.
Prodege:
A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. Bolstered by a major investment by Blackstone in Q1 2026, Prodege looks forward to more growth and innovation to empower our partners to gather meaningful, rich insights and better market to their target audiences.
As an organization, we go the extra mile to "Create Rewarding Moments" every day for our partners, consumers, and team. Come join us today!
What you'll own
  • Design, build, and operate production machine learning systems from development through deployment
  • Production models supporting ranking, recommendations, personalization, rewards optimization, ROAS/LTV prediction, and offer optimization
  • Feature engineering, model training pipelines, online inference, experimentation, monitoring, and continuous improvement
  • Reliable production ML practices including testing, observability, retraining, and model health
  • Technical leadership through code reviews, collaboration, and mentoring less experienced engineers
  • Cross-functional partnerships with Product, Data Engineering, Analytics, and Business stakeholders to solve high-impact problems

What makes this role exciting
  • You'll work on machine learning problems that directly impact revenue, marketplace efficiency, and customer experience.
  • You'll own production systems-not just models-from experimentation through deployment and optimization.
  • You'll build on top of a production platform processing 50M daily events, 500M daily pipeline records, and a 100TB Iceberg lake.
  • You'll join a team with an active experimentation culture, shipping ML improvements that quickly reach production.
  • You'll have significant ownership while partnering with senior technical leaders to shape the future of ML at Prodege.
  • You'll work in an engineering culture embracing AI-assisted development to improve productivity and accelerate experimentation.

What you'll do
  • Design, build, deploy, and maintain production machine learning systems.
  • Develop scalable ML solutions across ranking, recommendation, personalization, rewards optimization, ROAS/LTV prediction, and experimentation.
  • Improve feature engineering, model performance, inference latency, and operational reliability.
  • Design and analyze offline evaluations and A/B experiments to validate business impact.
  • Partner with Data Engineering to build reliable data pipelines and feature sets for ML.
  • Contribute to MLOps practices including deployment, monitoring, retraining, and model lifecycle management.
  • Review code, mentor teammates, and help raise engineering quality across the ML organization.
  • Leverage AI-assisted development to accelerate research, prototyping, debugging, documentation, and experimentation.

What you'll bring (must-haves)
  • 6+ years of experience in Machine Learning Engineering, Software Engineering, MLOps, or related technical fields.
  • 3+ years building, deploying, and operating production machine learning systems.
  • Strong experience building production recommendation, ranking, personalization, optimization, or prediction systems.
  • Experience working in AdTech, MarTech, Growth, Consumer Products, Marketplace platforms, or adjacent domains.
  • Strong understanding of:
    • Feature engineering
    • Offline and online inference
    • Experimentation and A/B testing
    • Model serving
    • Monitoring and retraining
    • MLOps best practices
  • Experience partnering closely with Product, Engineering, and Data teams to deliver measurable business outcomes.
  • Strong software engineering fundamentals with excellent coding skills.
  • Comfort operating in ambiguous environments while independently driving technical solutions.
  • Demonstrated ability to mentor engineers and influence technical decisions across teams.

Bonus points
  • Experience with ROAS optimization, bidding systems, rewards platforms, or monetization models.
  • Experience with streaming or near-real-time ML systems.
  • Experience with recommendation engines or personalization at scale.
  • Experience using feature stores or shared ML infrastructure.
  • Experience with causal inference, uplift modeling, or counterfactual reasoning.
  • Master's degree or PhD in Machine Learning, AI, Computer Science, or a quantitative discipline.
  • Experience using AI-assisted development tools in software engineering workflows.

Pay Transparency:
The anticipated base salary range for this position is $240,000 to $290,000. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to; the type and length of experience within the job, type and length of experience within the industry, the type and length of knowledge and skills for the position, education, training, etc. Prodege is a multi-state employer and final compensation within this range could be impacted by work location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Prodege Benefits:
Prodege offers a comprehensive benefits package to US Full-time employees including medical, dental, vision, STD, LTD and basic life insurance. Employees receive flexible PTO, as well as paid sick leave prorated based on hire date. US Employees have eight paid holidays throughout the calendar year.
Equal Employment Opportunity Statement
At Prodege, we are committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law. We encourage individuals of all backgrounds to apply.
FCIHO
Employers will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of FCIHO.

Apply