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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 ...

OSTechnical

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Data Engineer

Irvine, CA · On-site

$100K - $115K/yr

Data Engineer with a client at Irvine, CA Contract to hire. Position Summary The Engineer, Data ... Prepare curated datasets for analytics and machine learning initiatives. * Support CI/CD, source ...

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 ...

IT America Inc

Sr. Data Engineer (AI + AWS)

Irvine, CA · On-site

$122K - $147K/yr

Irvine/LA, CA (Onsite) Duration: Long term contract Job Summary: We are seeking a highly skilled ... machine learning data infrastructure. The ideal candidate will have experience building cloud ...

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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 Aug 29, 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 is a contract Meta machine learning professional?

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 the key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $46,283 per year, or $22.3 per hour.

Machine Learning Scientist

Intratek Computer, Inc.

Irvine, CA • On-site

$100 - $130/hr

Other

Medical, PTO

Posted 11 days ago

Job description

Machine Learning Scientist (Direct Hire – Onsite in Irvine, CA)

Location: Irvine, CA (Onsite / Hybrid, Monday–Friday, First Shift) or Out of area candidates that fit the qualifications may be considered, for relocation or remote employment with periodic travel to Irvine, CA office.
Employment Type: Direct Hire
Compensation: DOE (Depending on Experience)
Start Date: ASAP
Benefits: Medical, Paid Vacation, Paid Holidays, Stock Options

We are currently recruiting for a Machine Learning Scientist for a direct-hire role with one of our clients, a technology company based in Irvine, CA. This is not a contract role.

Position Overview

The Machine Learning Scientist will join a specialized ML team to design, develop, and test advanced deep learning algorithms focused on steganography and media watermarking across digital media formats (images, video, audio, etc.). You will also work closely with engineering teams to deploy these models into production environments, including mobile and cloud platforms.

Key Responsibilities
  • Research, design, and implement state-of-the-art deep learning–based steganography algorithms.
  • Collaborate with engineering teams to integrate and deploy ML models to customer-facing platforms.
  • Benchmark and evaluate new models against legacy approaches to ensure quality and accuracy.
  • Prepare clear technical documentation, reports, and presentations to communicate findings to internal teams.
Required Qualifications
  • Expert-level experience with PyTorch and training/testing deep neural networks.
  • Experience in dataset collection and curation for deep learning.
  • Strong communication, collaboration, and organizational skills.
Preferred Qualifications
  • Knowledge of steganography and digital watermarking techniques.
  • Familiarity with image, video, and audio compression algorithms.
  • Publication history in major ML/CV conferences (CVPR, ICCV, NeurIPS, etc.).
  • Experience deploying ML models to mobile, desktop, or cloud-based customer platforms.
Key Concepts (for clarity) Watermarking

Embedding identifiable information into digital media (visible or invisible) to prove ownership, track use, or secure content.

Steganography

Hiding information within media in a way that is undetectable to the human eye or ear. Often used for secure communication or embedding machine-readable signatures.

Media Provenance

Verifying the origin and authenticity of digital content to ensure it hasn’t been altered—important for combating deepfakes and unauthorized edits.

Equal Opportunity Employer

Intratek Computer, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, ancestry, national origin, sex, sexual orientation, age, disability, marital status, domestic partner status, or medical condition.

Veterans Preference

We proudly provide preference to returning war veterans in recognition of their service and skills.

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