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Machine Learning Engineer New Grad Jobs in Los Angeles, CA

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 ... Develop models that generate or assist in generating new designs based on historical design data

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 ... Develop models that generate or assist in generating new designs based on historical design data

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 ... reliability, and deliver new capabilities. * Contribute to engineering best practices ...

KFC Corporation

Sr Machine Learning Engineer

Irvine, CA · On-site

$125 - $150/hr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... reliability, and deliver new capabilities. * Contribute to engineering best practices ...

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 ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Los Angeles, CA

Machine Learning Engineer New Grad information

See Los Angeles, CA salary details

$33.9K

$138.8K

$208.5K

How much do machine learning engineer new grad jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning engineer new grad in Los Angeles, CA is $138,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $167,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Los Angeles, CA?

The most popular types of Machine Learning Engineer New Grad jobs in Los Angeles, CA are:

What are popular job titles related to Machine Learning Engineer New Grad jobs in Los Angeles, CA?

For Machine Learning Engineer New Grad jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer New Grad jobs in Los Angeles, CA look for?

The top searched job categories for Machine Learning Engineer New Grad jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Machine Learning Engineer New Grad jobs?

Cities near Los Angeles, CA with the most Machine Learning Engineer New Grad job openings:

Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $138,750 per year, or $66.7 per hour.

Staff Machine Learning Engineer

Prodege LLC

El Segundo, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 12 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.

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