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

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

In this role, you will apply advanced data analytics and machine learning techniques to explore ... Provide technical guidance and mentorship to junior data scientists and analysts Basic ...

Autodesk

Data Scientist, FP&A Solutions

Ontario, CA · On-site +1

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to ... Improve financial forecasting through statistical modeling, machine learning, driver-based ...

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Scientific Machine Learning information

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How much do scientific machine learning jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for scientific machine learning in Perris, CA is $32.09, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $40.91 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 job categories do people searching Scientific Machine Learning jobs in Perris, CA look for?

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

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

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

Scientific Machine Learning jobs near you

Artificial Intelligence and Machine Learning - Intern USA (AI Native)

AVEVA

Lake Forest, CA • On-site

Full-time

Posted 6 days ago

Job description

AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably.
We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies.
If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers.
For more information about our privacy policy and how to manage cookies, visit our Privacy Policy
Position: Artificial Intelligence and Machine Learning - Intern (AI Native)
Work Type: Hybrid (3 days a week in office)
Duration: Minimum 12 Weeks- whichever aligns best with your academic calendar
  • May 17th through August 6th
  • June 21st through September 10th

Work Authorization: This application is intended for candidates that are eligible for full-time work authorization in the United States upon completing their education.
Please be prepared to answer the following in your application:
  • Do you now, or will you in the future, require sponsorship for employment visa status (e.g. H-1B. F1, J1, CPT, OPT, etc. visa status, etc.) to work legally in the United States?

Locations:
Lake Forest, CA
Position Overview
As an Artificial Intelligence and Machine Learning Intern at AVEVA, you won't be shadowing - you'll be building. Embedded within a high-impact R&D team, you will work at the intersection of the most advanced concepts in modern AI - Large Language Models, Generative AI, Retrieval-Augmented Generation, prompt engineering, embeddings, agentic workflows, AI agents, AI memory, and model evaluation - deploying solutions that power industrial enterprises across the globe. While most internships touch one or two of these domains, AVEVA brings them together within a single, meaningful engineering context, supported by a technical mentor and a global team of 2,000+ developers with AI at the center of everything they build. If you are deeply curious about where AI is heading and ready to do real work that drives real impact - this is where your career begins.
You may enjoy this if:
  • You have a passion for creating software.

  • You like to experiment with Generative AI technologies, Large Language Models (LLMs), prompt engineering techniques, and Retrieval-Augmented Generation (RAG) approaches.

  • You like problem solving and have sharp debugging skills.

  • You are creative with computers and software applied to engineering.

We're looking for:
  • Self-motivated individuals with a passion for creating software

  • Software development experience in one or more modern programming languages (C++, C#, HTML/JavaScript, etc.)

  • Fundamental computer science concepts such as data structures, algorithms, debugging, and software engineering practices.

  • Interest in Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), AI agents, and agentic workflows.

  • Familiarity with concepts such as prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, AI memory, or model evaluation is a plus.

  • Exposure to AI frameworks, libraries, APIs, or cloud platforms through coursework, projects, hackathons, research, or personal learning.

  • Experience with version control tools such as Git and collaborative software development practices.

  • A curious, self-directed mindset with the confidence to explore new tools, experiment independently, and learn through hands-on discovery.

Eligibility Criteria
  • Currently enrolled in a full-time BS/MS program
  • Must be graduating between December 2027- June 2029
  • Computer Science, Computer Engineering, AI/ML, or Data Science majors
  • GPA 3.00 or above
  • Software development experience in one or more modern programming languages (C++, C#, HTML/JavaScript, etc.)

Benefits:
  • Mentorship: You will be assigned a technical mentor to guide you during your internship

  • Continuous Learning: In-office training in defensive programming, debugging, and more

  • Learning Series: You will learn more about AVEVA from meeting with our Executive Team and Business Unit Leadership Team members

About AVEVA:
AVEVA's comprehensive portfolio enables more than 20,000 industrial enterprises to engineer smarter, operate better and drive sustainable efficiency. The company is headquartered in Cambridge, UK, with over 6,500 employees and 90 offices in over 40 countries. AVEVA is a global leader in industrial software, driving digital transformation and sustainability. By connecting the power of information and artificial intelligence with human insight, AVEVA enables teams to use their data to unlock new value. We call this Performance Intelligence (PI).
R&D at AVEVA:
Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the center of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration, and inclusivity. If you want to build applications that solve big problems and do impactful work, join us!
Find out more: https://www.aveva.com/en/about/careers/
Salary Range:
$52,500.00 - $87,500.00
This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training.
AVEVA requires all successful applicants to undergo and pass a comprehensive background check and drug screen before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. All drug screens are in accordance with federal laws and regulations.
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify AVEVA at recruitingaccommodations@aveva.com. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.

Apply