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Machine Learning Engineer Jobs in Riverside, CA (NOW HIRING)

Turion Space

Machine Learning Engineer

Irvine, CA · On-site

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 ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

As a 3D Machine Learning Engineer , you will focus on designing, implementing, training, and maintaining cutting-edge 3D and multimodal machine learning models that process reality capture data such ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

Capgroup

Senior Machine Learning Engineer

Irvine, CA

$112.20K - $154K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a strong ...

Capital Group

Senior Machine Learning Engineer

Irvine, CA · On-site

$111.60K - $153.20K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Senior Machine Learning Engineer at Capital Group." You will join our ...

Capgroup

Senior Machine Learning Engineer

Irvine, CA

$112.20K - $154K/yr

... Machine Learning Engineering team to build the next generation of AI products at Capital Group - including agentic systems, LLM-powered workflows, and the platform that ensures they are safe ...

Cisco

Principal Machine Learning Engineer

Irvine, CA

$291.50K - $369.10K/yr

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

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Syntiant

Senior Engineer, Machine Learning

Irvine, CA · On-site

$125K - $150K/yr

The Senior Engineer, Machine Learning will be responsible for developing state-of-the-art audio and vision models to be deployed on edge devices. We are looking for candidates at the cutting edge of ...

Syntiant

Senior Engineer, Machine Learning

Irvine, CA · On-site

$125K - $150K/yr

The Senior Engineer, Machine Learning will be responsible for developing state-of-the-art audio and vision models to be deployed on edge devices. We are looking for candidates at the cutting edge of ...

Syntiant

Senior Engineer, Machine Learning

Irvine, CA

$125K - $150K/yr

The Senior Engineer, Machine Learning will be responsible for developing state-of-the-art audio and vision models to be deployed on edge devices. We are looking for candidates at the cutting edge of ...

Yum! Brands

Associate Manager Machine Learning

Irvine, CA · Hybrid

$134.50K - $158.30K/yr

We are hiring a Manager, Machine Learning (MLE) to lead the development and operationalization of ... You will manage a team of MLEs and partner with AI Engineers, QA, and DevOps to deliver high ...

VSolvit

DATA SCIENTIST II (MACHINE LEARNING)

Norco, CA · On-site

$115K - $130K/yr

Proficiency in Python, R, or similar programming languages for data analysis * Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Knowledge of SQL and ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Riverside, CA

Machine Learning Engineer information

See Riverside, CA salary details

$32.9K

$134.3K

$201.9K

How much do machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning engineer in Riverside, CA is $134,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $161,700.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Riverside, CA? The most popular types of Machine Learning Engineer jobs in Riverside, CA are:
What job categories do people searching Machine Learning Engineer jobs in Riverside, CA look for? The top searched job categories for Machine Learning Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Machine Learning Engineer jobs? Cities near Riverside, CA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Turion Space

Irvine, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

Description
Turion's mission is to build a sustainable future in space. Turion launched its first DROID satellite in June of 2023 to collect non-Earth imagery. 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 integrating those solutions into Turion's infrastructure pipeline with a small ML team that operates at the junction of R&D and deployment.

Key Responsibilities
  • Contribute to the research, design, implementation, and testing of CV and/or AI/ML software
  • Analyze large datasets used for AI/ML model development 
  • Identify opportunities to improve AI/ML model performance and efficiency 
  • Assist in the deployment of AI/ML models onto AWS
  • Contribute to the deployment of MLOps processes and techniques
  • Assist in the development of automated methods for responsible AI monitoring and best practices


Qualifications
Minimum Qualifications:
  • Strong experience in Python 
  • Hands-on experience in prototyping and maturing ML algorithms
  • Comfort working in a fast-paced, self-driven entrepreneurial workplace
  • A degree in Computer Science or a related field. 
Preferred Skills and Experience:
  • Experience working with AWS
  • Experience working with Docker
  • Experience designing and building microservices
  • Experience with Jira or other defect-tracking software
  • Experience building complex systems that have been successfully delivered to customers
ITAR Requirements: 
  • This position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158,  or be eligible to obtain the required authorizations from the U.S. Department of State. 

Benefits
  • Health Insurance: Comprehensive medical, dental, and vision coverage.
  • Retirement Plans: Access to a 401(k) plan.
  • Paid Time Off: Generous vacation days, personal days, and holidays to ensure you have time to recharge.
  • Professional Development: Opportunities for ongoing training, workshops, and courses to advance your skills and career growth.
  • Team Building Activities: Regular social events, team outings, and company-sponsored activities to foster a positive work environment.
  • Diverse and Inclusive Culture: A commitment to diversity and inclusion, with initiatives to support a welcoming and equitable work environment.
Turion Space is an Equal Opportunity Employer; employment with Turion Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of Turion’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify the Human Resources Department.