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

Pwc

AI Solutions Engineering Delivery Lead

Irvine, CA · On-site

$110K - $144K/yr

... Director & Summary At PwC, our people in data and analytics engineering focus on leveraging ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Sayva Solutions

Director, Data Engineering

Irvine, CA · On-site

$133K - $167K/yr

The Director will initially provide technical guidance and mentorship while strengthening internal ... machine learning initiatives. • Collaborate with business and technology leaders across the ...

Tata Consultancy Service Limited

AI Head

Irvine, CA · On-site

$180K - $240K/yr

Hands-on experience with Python, Machine Learning, Deep Learning, LLMs, RAG architectures, and AI frameworks such as TensorFlow, PyTorch, and Vertex AI. * Proven experience in designing, deploying ...

Trace3

Practice Director | AI Solutions

Irvine, CA · On-site

The Practice Director owns how Trace3 frames, architects, and defends AI solutions before a ... machine learning, evaluation and ground truth data sets, and the metadata that makes any of it ...

Trace3

Practice Director | AI Solutions

Irvine, CA · On-site

The Practice Director owns how Trace3 frames, architects, and defends AI solutions before a ... machine learning, evaluation and ground truth data sets, and the metadata that makes any of it ...

Cisco

Senior Director, Product Marketing

Irvine, CA · On-site

$284K - $390K/yr

Senior Director, Product Marketing Meet the Team Cisco is seeking a visionary, high-impact Senior ... Demonstrated experience applying AI and machine learning concepts, networking fundamentals, and ...

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All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Riverside, CA

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 Sep 9, 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 cities near Riverside, CA are hiring for Director Machine Learning jobs?

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

Director Machine Learning jobs near you
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.

Senior Director, AI Innovation

Corona, CA • On-site

Monster Energy
Food Services and Drinking Places • 1 - 5K employees
Learn more about Monster Energyexternal

Full-time

Re-posted 10 days ago

Monster Energy rating

7.5

Company rating: 7.5 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

154th of 445 rated food and drinks producers

Job description

About Monster Energy:

Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us.

 A day in the life: 

As the Sr. Director, AI Innovation, you will define the long-term AI (Artificial Intelligence) vision, drive enterprise-wide transformation through high-impact, high-visibility AI initiatives. Oversee the strategy, development, and execution of breakthrough AI solutions across all business functions while also owning AI upskilling and cultural adoption across the company. Partner closely with executive leadership to ensure AI accelerates growth, enhance productivity, and position Monster as an industry leader in responsible and innovative AI adoption.

The impact you'll make:
  • Define & Lead Monster's AI Vision -- Establish a bold, long-term AI strategy that aligns with enterprise goals, identifying major opportunities to transform revenue, operations, marketing, supply chain, finance, HR, and customer engagement.
  • Drive High-Impact AI Initiatives ("Big Swings") -- Lead the conception and delivery of breakthrough AI programs (new platforms, AI-powered experiences, automation
  • Build & Oversee the Enterprise AI Roadmap -- Prioritize projects, allocate resources, manage budgets, and oversee multi-year transformation plans across business units and technical teams.
  •  Lead AI Education, Upskilling & Cultural Change -- Own the organizational learning strategy for AI literacy, offering executive training, broad employee education, role-specific training tracks, and a consistent internal AI curriculum.
  • Establish Enterprise AI Governance & Risk Standards -- Partner with Legal, Security, and Compliance to ensure responsible AI use; oversee policies for privacy, fairness, transparency, and model lifecycle governance.
  • Build & Lead an AI Innovation Team -- Recruit, develop, and lead a cross-functional AI leadership group (engineering, data science, MLOps, automation, SWAT teams). Implement workforce planning and organizational design.
  • Drive Cross-Functional Partnerships -- Collaborate with Sales, Marketing, Finance, Legal/HR, Operations, Supply Chain, and IT to understand pain points and architect AI solutions that deliver measurable value.
  •  Represent Monster Externally -- Act as a public-facing AI leader for Monster - speaking at conferences, participating in partner discussions, shaping strategic vendor relationships, and monitoring external AI trends.
  • Measure Impact & Communicate Results -- Establish key project indicators (KPI) frameworks for AI adoption, productivity gains, cost reductions, and innovation velocity; provide regular reports to the executive team and board.
 Who you are:
  • Prefer a Bachelor's Degree in the field of -- Business, Computer Science, Artificial Intelligence (AI), Machine Learning (ML), Data Science, or related fields. Master's or MBA preferred
  • More than 10 years of experience in AI/ML/Automation strategy
  •  Between 3-5 years of experience in leading enterprise AI initiatives
  • Familiarity with modern AI platforms (Microsoft Copilot, Azure AI, OpenAI, Google Vertex, etc.)
  • Understanding of model architectures, AI agents, orchestration frameworks. Comfortable guiding technical conversations even without hands-on coding requirements.
  • Preferred Certifications: Executive certifications in AI Leadership (MIT, Stanford, etc.)
  • Azure AI or other enterprise AI technology certifications helpful
  • Organizational leadership or innovation strategy credentials
  • Additional Knowledge or Skills to be Successful in this role: Strong collaboration skills with data engineering, governance, security, and AI product teams; ability to convert business concepts into semantic datasets and AI features

What Monster Energy employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Monster Energy logo

About Monster Energy

Sourced by ZipRecruiter

Most companies spend their money on ad agencies, TV commercials, radio spots and billboards to try to tell you how good their products are. At Monster, we do things differently — because Monster Energy is not just a drink. It’s a lifestyle in a can. We support the scene, our bands, our athletes and our fans.  We back athletes so they can make a career out of their passion.  We promote concert tours, so our favorite bands can visit your hometown.  We celebrate with our fans and riders by throwing parties and making the coolest events we can think of a reality. Monster is the relentless pursuit of victory, being your best, being at the top of your game. It is the most badass energy drink on the planet. Monster is the world’s greatest skiers and skaters, borders and bikers, rockers and racers, gamers and Girls. Monster Energy — Unleash the Beast!

Industry

Food services and drinking places

Company size

1,001 - 5,000 Employees

Headquarters location

Corona, CA, US

Year founded

2002

Social media

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