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

AI/Machine Learning Engineer

Irvine, CA · On-site

$175 - $200/hr

  • Medical

  • Life

  • Retirement

  • PTO

At least 3 years of professional experience building and deploying software systems, with direct ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

AI/Machine Learning Engineer

Irvine, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

At least 3 years of professional experience building and deploying software systems, with direct ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

At least 3 years of professional experience building and deploying software systems, with direct ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Director, Data Science & Insights

Irvine, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot ... Strong understanding of machine learning, statistical modeling, experimentation, and modern AI ...

Director, Data Science & Insights

Irvine, CA

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot ... Strong understanding of machine learning, statistical modeling, experimentation, and modern AI ...

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Showing results 1-20

Director Machine Learning information

See Riverside, CA salary details

$37.6K

$95.9K

$147.1K

How much do director machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for director machine learning in Riverside, CA is $95,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,600.00 and $110,600.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Riverside, CA?

The most popular types of Machine Learning jobs in Riverside, CA are:

What are popular job titles related to Director Machine Learning jobs in Riverside, CA?

For Director Machine Learning jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Riverside, CA look for?

The top searched job categories for Director Machine Learning jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Director Machine Learning jobs?

Cities near Riverside, CA with the most Director Machine Learning job openings:

Infographic showing various Director Machine Learning job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $95,910 per year, or $46.1 per hour.

Machine Learning Scientist

Intratek Computer, Inc.

Irvine, CA • On-site

$100 - $130/hr

Other

Medical, PTO

Posted yesterday

New


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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