1

New Grad Machine Learning Jobs in Irvine, CA (NOW HIRING)

Machine Learning Scientist

Irvine, CA ยท On-site

$140 - $200/hr

# Machine Learning ScientistIrvine, CA**Full Time -- In Office -- Irvine, CA**## About Steg.AISteg.AI ... Benchmark new models versus older models* Disseminate findings to the team via written reports and ...

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

Machine Learning Engineer

Costa Mesa, CA ยท On-site

$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 ...

Machine Learning Engineer

Huntington Beach, CA ยท 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

Machine Learning Engineer

Huntington Beach, CA ยท 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

Sr Machine Learning Engineer

Irvine, CA ยท 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 ...

Staying current with advancements in ML, including new development tools, libraries, frameworks, ML ... Coursework in machine learning, computer vision, control systems, and time series modeling. Strong ...

Sr Engineer, AI/Machine Learning

Irvine, CA ยท On-site

$140K - $170K/yr

Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar ...

Sr Engineer, AI/Machine Learning

Irvine, CA ยท On-site

$140K - $170K/yr

Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar ...

AI/Machine Learning Engineer

Irvine, CA ยท On-site

$175 - $200/hr

Expertise with learning new frameworks, algorithms, and technical stacks quickly. * Familiarity ... Demonstrated participation in the successful deployment, monitoring, and scaling of machine ...

next page

Showing results 1-20

New Grad Machine Learning information

See Irvine, CA salary details

$27.4K

$45.7K

$94.5K

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

As of Aug 23, 2026, the average yearly pay for new grad machine learning in Irvine, CA is $45,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,900.00 and $49,400.00 per year, depending on experience, location, and employer.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

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

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

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

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

What cities near Irvine, CA are hiring for New Grad Machine Learning jobs?

Cities near Irvine, CA with the most New Grad Machine Learning job openings:

Infographic showing various New Grad Machine Learning job openings in Irvine, 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 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $45,709 per year, or $22 per hour.

Machine Learning Scientist

Steg.AI

Irvine, CA โ€ข On-site

$140 - $200/hr

Other

Posted 5 days ago


Job description

# Machine Learning ScientistIrvine, CA**Full Time โ€” In Office โ€” Irvine, CA**## About Steg.AISteg.AI's mission is to protect and authenticate digital media. We do it by writing software that uses AI technology to watermark digital media. Our watermarks are invisible to humans, but detectable by our proprietary algorithms.Founded in 2019, Steg.AI is a National Science Foundation (NSF) and investor-funded startup based in Orange County, California. Our machine learning team currently consists of 3 PhDs in Computer Vision.We are looking for a highly motivated machine learning scientist with a passion for groundbreaking AI technology for watermarking, steganography, or media provenance.## Job DescriptionYou will work with the machine learning team to design and implement state of the art deep learning algorithms for steganography with digital media (e.g. images, video, etc.), and work with the engineering team to deploy these algorithms to mobile, desktop, and cloud platforms.## Scope of Responsibility* Collaborate with the machine learning team to develop and implement novel steganography algorithms with deep learning* Collaborate with the engineering team to deploy models to customers* Benchmark new models versus older models* Disseminate findings to the team via written reports and oral presentations## Required Qualifications* Expert with PyTorch and training and testing deep learning models* Familiarity with dataset collection/curation for training deep networks* Strong collaboration, communication, and organizational skills## Bonus Qualifications* Familiarity with steganography and watermarking technologies* Familiarity with image/video compression algorithms* Computer Vision/Machine Learning publications in CVPR/ICCV/NeurIPS/etc.* Experience with deploying machine learning models to customers via mobile, desktop, or cloud service platforms## To ApplySend your resume/CV to **careers@steg.ai**Apply now #J-18808-Ljbffr