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

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112.20K - $154K/yr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results ...

Sr Engineer, AI Solutions

Irvine, CA · On-site

$130K - $168K/yr

Design and implement AI/Machine Learning (ML) solutions across domains such as computer vision and ... Mentor junior engineers in AI/Machine Learning (ML) fundamentals, coding standards, and deployment ...

The Senior Engineer, AI Solutions collaborates with cross-functional teams to design, develop, and ... Design and implement AI/Machine Learning (ML) solutions across domains such as computer vision and ...

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112.20K - $154K/yr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results ...

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131.50K - $173.40K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131.50K - $173.40K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131.50K - $173.40K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Lead AI Engineer

Irvine, CA

$110K - $144.90K/yr

Description The Lead AI Engineer will be responsible for defining and driving the AI strategy ... Design, develop, and deploy advanced AI models and algorithms, including machine learning, deep ...

Senior Software Engineer, MLOps

Irvine, CA · On-site

$129.90K - $171.30K/yr

They are seeking a skilled Senior MLOps Engineer to design and maintain the infrastructure supporting machine learning systems in robotics applications, collaborating with various engineering teams ...

AI/ML Engineer (AWS)

Irvine, CA · Remote

$120K - $155K/yr

As a Senior Developer, you will play a key role in building and evolving ML/AI applications and ... Create, evaluate, and deploy machine learning solutions, including applications powered by large ...

AI Engineer

Irvine, CA · On-site

$121.50K - $145.90K/yr

We are looking for a motivated and innovative AI Engineer with 4 yrs of full-time experience in Machine Learning and AI Automation to join our growing team at Arch Telecom. This role is ideal for ...

You'll be responsible for designing, building, and deploying applied machine learning solutions ... WHAT YOU'LL BRING * 5+ years of experience in machine learning engineering, with a proven track ...

AI Engineer

Irvine, CA · On-site

$130K - $140K/yr

We are looking for a motivated and innovative AI Engineer with 4 yrs of full-time experience in Machine Learning and AI Automation to join our growing team at Arch Telecom. This role is ideal for ...

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Showing results 1-20

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.

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:

Scientist, Staff (Machine Learning & Simulations)

ENCHANNEL MEDICAL LTD

Irvine, CA

$123.65K - $158.13K/yr

Full-time

Posted 7 days ago


Job description

Position Title: Scientist, Staff

Department: Algorithm

Reports to: Algorithm, Senior Manager

At Enchannel Medical, we’re redefining the boundaries of electrophysiology with our next-generation DePolar™ mapping system and integrated NanoAblate™ PFA platform. Driven by our global mission to enhance the quality-of-life of heart rhythm patients, our discerning technology, paired with our passion for innovation, leads to enduring outcomes.

Position Overview

This Scientist, Staff (Machine Learning & Simulations), will be a key contributor to our algorithm team, working on innovating and developing new research and product features for our cardiac electrophysiology mapping system. They will be responsible for designing, developing, testing, and improving cardiac simulations used for treating cardiac arrhythmia and collaborating closely with a multidisciplinary team to support system integration and product feature advancements. They will have an opportunity to design and build end-to-end solutions.

Duties and Responsibilities

The following are the major responsibilities needed for the role. Additional responsibilities, tasks, and duties will be assigned and required as needed.

  • Develop biophysics-based simulations to predict optimal ablation sites.
  • Optimize the simulation compute resources using statistical, machine learning (ML), and optimization techniques to provide real-time feedback.
  • Analyze and interpret complex cardiac signals.
  • Develop innovative simulation solutions and collaborate with cross-functional teams to integrate simulation outcomes into the software stack.
  • Collaborate with the software engineering team to implement algorithms and ML solutions into computationally efficient, “real-time” operations.
  • Evaluation, adoption, and refinement of prototype algorithms developed by our engineers, scientists, and consultants.
  • Maintain, update, and document design requirements throughout the entire system life cycle.
  • May be required to actively contribute to regulatory filings, patent applications and other industry related publications.
  • Responsible for compliance with quality system procedures and all regulatory requirements.
  • Consistently promote collaboration, positivity, accountability, and resourcefulness.
  • Must demonstrate mutual respect, ongoing communication, and a positive outlook with both internal team members and customers.

Education, Experience and Skills Required

Below are the minimum skills, formal education, certifications or training, and practical experience required to perform the general functions and duties of the role.

  • 5+ years of related experience and a Bachelor’s and/or Master’s degree, and/or PhD in a scientific/engineering discipline; or equivalent combination of education and experience.
  • Must demonstrate expertise in cardiac electrophysiology, with a strong foundation in applying this knowledge to practical applications.
  • Hand-ON experience working with cardiac simulation tools.
  • Experience with the use of ML in cardiac anatomy and electrophysiology, ECG, unipolar/bipolar electrogram.
  • Strong programming skills in languages such as Python, C++, and MATLAB.
  • Experience with ML libraries such as OpenCV, TensorFlow, and PyTorch.
  • Broad understanding of machine learning, deep learning, and statistical techniques.
  • Strong problem-solving abilities, with the capacity to develop innovative solutions for complex technical challenges.
  • Excellent collaboration skills to work effectively across multidisciplinary teams, including hardware, software, quality, and regulatory groups.
  • Time management and organizational skills to prioritize workload efficiently in a fast-paced startup environment.
  • Exceptional verbal and written communication skills, including the ability to explain highly technical concepts to non-technical audiences.
  • A results-driven mindset, with the ability to adapt quickly to changing project requirements and deliverables.
  • Must be able to understand job duties and responsibilities, have the necessary skills/knowledge and be willing and able to continue learning and growing within the field.
  • Must be skilled at managing a significant workload and obtaining positive results, taking on additional responsibility and managing priorities as needed.
  • Must be accurate, detailed, committed to high quality standards and pro-active in finding solutions to achieve successful outcomes.
  • Strong verbal and written communication skills with the ability to produce accurate, punctual reports/information, as required and thoroughly share information with others. Must be able to read, write and speak effectively.
  • Exceptional listening skills with the ability to seek constructive feedback, build relationships, promote teamwork, and remain flexible and open-minded. Able to quickly adapt to change.
  • Capable of following realistic plans, goal setting, resource management, contingency planning, coordinating, and cooperating with others.
  • Capable of working thoughtfully under pressure and in a timely manner.

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum new hire pay for the position located in California. Within the range, individual pay is determined by location, additional factors, including job-related skills, experience, and relevant education or training.

EnChannel Medical is an E-Verify and equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any basis covered under acceptable law.

Only qualified candidates will be contacted.