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Scientific Machine Learning Jobs in Irvine, CA (NOW HIRING)

Steg.AI

Machine Learning Scientist

Irvine, CA · On-site

$140 - $200/hr

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 ...

FieldAI

2.53 3D Machine Learning Engineer

Irvine, CA · On-site

Required : • Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, or a related technical field. • 2+ years of hands-on industry experience developing and deploying ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, or a related technical field. * 2+ years of hands-on industry experience developing and deploying machine learning ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, or a related technical field. * 2+ years of hands-on industry experience developing and deploying machine learning ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, or a related technical field. * 2+ years of hands-on industry experience developing and deploying machine learning ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. * 3+ years of experience in Machine Learning Engineering, MLOps, Software Engineering, or related ...

Yum Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. * 3+ years of experience in Machine Learning Engineering, MLOps, Software Engineering, or related ...

Yum

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

This role partners closely with Data Scientists, Data Engineers, and Analytics stakeholders to ... Help productionize machine learning models and data pipelines that support customer analytics ...

KFC Corporation

Sr Machine Learning Engineer

Irvine, CA · On-site

$130 - $162/hr

This role partners closely with Data Scientists, Data Engineers, and Analytics stakeholders to ... Help productionize machine learning models and data pipelines that support customer analytics ...

Crowe LLP

Machine Learning Intern

Costa Mesa, CA

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Turion Space

Machine Learning Engineer

Irvine, CA · On-site

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... A degree in Computer Science or a related field. Preferred Skills and Experience: * Experience ...

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Scientific Machine Learning information

See Irvine, CA salary details

$14

$33

$56

How much do scientific machine learning jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for scientific machine learning in Irvine, CA is $33.79, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $43.08 per hour, depending on experience, location, and employer.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are the key skills and qualifications needed to thrive as a scientific machine learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What are some common challenges faced by professionals in scientific machine learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

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

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

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

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

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

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

Scientific Machine Learning jobs near you
Infographic showing various Scientific Machine Learning job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $70,278 per year, or $33.8 per hour.

Machine Learning Scientist

Steg.AI

Irvine, CA • On-site

$140 - $200/hr

Other

Posted 18 days ago

Job description

# Machine Learning ScientistIrvine, CA**Full Time — In Office — 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

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