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Contract Meta Machine Learning Jobs in Riverside, CA

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

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 ...

Staffingine LLC

AI/GenAI Engineer

Irvine, CA · On-site

Contract * Lead and conduct advanced research in AI and Generative AI to develop innovative solutions. * Design and implement machine learning deep learning natural language processing and computer ...

Perficientcorp Inc

Lead Gen AI Engineer

Irvine, CA · On-site

$55 - $60/hr

Design and implement machine learning deep learning natural language processing and computer vision ... Support proposal development and contribute to securing research funding or contracts. Skills ...

Rivian

Sr. Manager Durability CAE

Irvine, CA

$196K - $245K/yr

... Machine Learning for automation. Test-to-Simulation Correlation: Lead correlation efforts using ... Expert-level command of pre/post-processing tools such as ANSA, HyperMesh, HyperView, or Meta/Post.

Rivian

Sr. Manager Durability CAE

Irvine, CA · On-site

$196K - $245K/yr

... integration of AI/Machine Learning for automation. • Test-to-Simulation Correlation: Lead ... Expert-level command of pre/post-processing tools such as ANSA, HyperMesh, HyperView, or Meta/Post ...

ALIGN PRECISION

Be Seen First

CNC Machinist

Walnut, CA · On-site

$25 - $50/hr

Sets up and operates mills, computer-controlled equipment (CNC) machine tools, and other machining ... This document does not create an employment contract, implied or otherwise, other than an at will ...

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All JobsContract Meta Machine Learning JobsContract Meta Machine Learning Jobs in Riverside, CA

Contract Meta Machine Learning information

See Riverside, CA salary details

$15

$22

$27

How much do contract meta machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for contract meta machine learning in Riverside, CA is $22.25, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $23.85 per hour, depending on experience, location, and employer.

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

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What is the difference between Contract Meta Machine Learning vs Contract Data Scientist?

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What are Contract Meta Machine Learning professionals?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.
What are popular job titles related to Contract Meta Machine Learning jobs in Riverside, CA? For Contract Meta Machine Learning jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Contract Meta Machine Learning jobs in Riverside, CA look for? The top searched job categories for Contract Meta Machine Learning jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Contract Meta Machine Learning jobs? Cities near Riverside, CA with the most Contract Meta Machine Learning job openings:
Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in Riverside, CA as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 19% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $46,283 per year, or $22.3 per hour.
Senior Data Scientist

Senior Data Scientist

Hireblazer

Irvine, CA • On-site

Full-time

Re-posted 22 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).