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Senior Machine Learning Engineer Jobs in Riverside, CA

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

The Sr. Data Scientist will join the Personalization Data Science and Machine Learning team to ... The role involves building end-to-end solutions, collaborating with data scientists and engineers ...

Pwc

NGA AI Engineer Senior Manager

Irvine, CA · On-site

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to guide large ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

Esri's Professional Services division is seeking an experienced Sr. Software Development Engineer ... Responsibilities : • Develop Python-based machine learning components that enhance how users ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

... experienced Sr. Software Development Engineer to enhance geospatial data quality capabilities ... Responsibilities : • Develop Python-based machine learning components that enhance how users ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

Esri's Professional Services division is seeking an experienced Sr. Software Development Engineer ... Responsibilities : • Develop Python-based machine learning components that enhance how users ...

Masimo

Sr Engineer II, Algorithm (ECG)

Irvine, CA · On-site

$139K - $185K/yr

The Senior Engineer II, Algorithm (ECG) is a senior-level individual contributor responsible for ... Apply advanced statistical modeling and, where appropriate, machine learning techniques to enhance ...

Masimo

Sr Engineer II, Algorithm (ECG)

Irvine, CA · On-site

$139K - $185K/yr

The Senior Engineer II, Algorithm (ECG) is a senior-level individual contributor responsible for ... Apply advanced statistical modeling and, where appropriate, machine learning techniques to enhance ...

Pwc

ERP AI Engineer - Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

Responsibilities - Design and implement advanced AI and machine learning solutions - Analyze ... Engineering, Mathematics, Statistics, or a related quantitative field - At least 3 years of ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site +1

$123K - $162K/yr

... Sr. Software Development Engineer to help advance the next generation of geospatial data quality ... Develop Python-based machine learning components that enhance how users assess, understand, and ...

Skyworks

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

Job Title: Sr. Data Scientist Posting Start Date: 6/3/26 Job Location(s): Irvine If you are looking ... Responsibilities As a Machine Learning and Data Engineer on the Data Analytics and AI Enablement ...

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All JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Riverside, CA

Senior Machine Learning Engineer information

See Riverside, CA salary details

$62.1K

$132K

$191.4K

How much do senior machine learning engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for senior machine learning engineer in Riverside, CA is $132,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $149,700.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are popular job titles related to Senior Machine Learning Engineer jobs in Riverside, CA? For Senior Machine Learning Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Riverside, CA look for? The top searched job categories for Senior Machine Learning Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Senior Machine Learning Engineer jobs? Cities near Riverside, CA with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Riverside, CA as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $132,033 per year, or $63.5 per hour.

Senior Data Scientist

Hireblazer

Irvine, CA • On-site

Full-time

Posted 2 days ago

Job description

Job Title: Sr. Data Scientist

Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote)

Contract Type: Contract to Hire

Project Overview:

The Sr. Data Scientist will join the Personalization Data Science and Machine Learning team to focus on solving recommendations, ranking, user condition predictions, and search problems. This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role involves building end-to-end solutions, collaborating with data scientists and engineers, and ensuring engineering excellence with solid production releases. The team utilizes state-of-the-art machine learning and strives for low-latency solutions.

Top Responsibilities:

Apply advanced statistical and predictive modeling techniques to optimize healthcare and digital experiences.

Propose innovative solutions using data mining, statistical analysis, and machine learning.

Support business needs related to analytics, predictive modeling, and business intelligence.

Collaborate effectively with internal clients to translate their needs into data science use cases.

Provide ongoing tracking and monitoring of model performance and recommend improvements to methods and algorithms.

Required Qualifications:

Bachelor's Degree (Minimum Education Requirement).

Strong hands-on skills in Data Analytics and ML-Ops.

Ability to turn state-of-the-art research into production-level code.

Experience developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques.

Proficiency in Python, TensorFlow, PyTorch, and/or PySpark.

Ability to translate business needs and requirements into technical solutions.

Solid analytical and problem-solving skills.

Preferred Qualifications:

Master's or Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields.

Experience developing and deploying models related to recommender systems, NLP, and time series forecasting.

Experience developing algorithms for search engines (e.g., name entity recognition, intent classification, spell correction, auto-completion), cold-start recommendation, and semi-supervised learning (e.g., positive unlabeled learning).