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Head Of Machine Learning Jobs in California (NOW HIRING)

Apple Maps and the thousands of applications it empowers are being used by millions every single ... We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ...

You will be responsible for the end-to-end development and deployment of machine learning models, collaborating closely with cross-functional teams to deliver impactful solutions. Responsibilities

$150K - $200K/yr

We work at the intersection of machine learning, safety research, and policy, supporting a global ... The Role We are hiring a Head of People to build the systems, team, and culture that will carry FAR.

As our Head of Data within this portfolio organization you'll be leading and developing best ... Direct the application of machine learning, particularly computer vision, to our product and ...

Showing results 41-60

Head Of Machine Learning information

See California salary details

$24.2K

$63K

$107.6K

How much do head of machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for head of machine learning in California is $63,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $74,000.00 per year, depending on experience, location, and employer.

What does a head of machine learning do?

A Head of Machine Learning leads the development and implementation of machine learning strategies within an organization. They oversee data science teams, manage AI-driven projects, and ensure models are scalable and aligned with business needs. This role requires expertise in machine learning, software engineering, and leadership to drive innovation and improve decision-making through data.

What are the key skills and qualifications needed to thrive as a head of machine learning?

To thrive as a Head Of Machine Learning, you need deep expertise in machine learning algorithms, statistical modeling, and data analysis, usually supported by an advanced degree in computer science or a related field. Familiarity with Python, TensorFlow, PyTorch, cloud computing platforms, and relevant certifications (like AWS Certified Machine Learning) is highly beneficial. Strong leadership, strategic thinking, and communication skills set exceptional candidates apart by enabling effective team management and cross-departmental collaboration. These skills are crucial to drive innovation, deliver impactful projects, and steer organizational AI strategies successfully.

What are some typical challenges faced by a head of machine learning, and how can I prepare for them?

As a Head Of Machine Learning, you’ll often face challenges such as aligning machine learning initiatives with business objectives, managing a diverse technical team, and ensuring the scalability and reliability of solutions. Preparing for these involves staying updated on the latest AI trends, developing strong project management skills, and fostering a culture of knowledge sharing within your team. Additionally, you may need to bridge communication gaps between technical staff and non-technical stakeholders, so clear communication is vital. By proactively addressing these areas, you’ll be better equipped to lead successful machine learning operations and drive significant business value.

Is a Head of Machine Learning a high paying job?

A Head of Machine Learning is typically a high-paying role due to its seniority and specialized expertise in AI, data science, and leadership. Salaries often reflect experience, industry, and company size, with many earning well above average tech salaries, especially in competitive markets.

What are popular job titles related to Head Of Machine Learning jobs in California?

For Head Of Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Head Of Machine Learning jobs in California look for?

The top searched job categories for Head Of Machine Learning jobs in California are:

What cities in California are hiring for Head Of Machine Learning jobs?

Cities in California with the most Head Of Machine Learning job openings:

Infographic showing various Head Of Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $63,025 per year, or $30.3 per hour.

Machine Learning Engineer

Sunnyvale, CA • On-site

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)

Full-time

Re-posted 16 days ago


Job description

Job Summary:
MBZUAI is a dedicated research lab for building, understanding, using, and risk-managing foundation models. As a Machine Learning Engineer, you will develop and implement innovative machine learning models, collaborate with cross-functional teams, and contribute to MBZUAI's mission of driving impactful AI discoveries.
Responsibilities:
• Collaborate with Research teams to understand technologies, adapting and integrating them into codebase.
• Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
• Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Qualifications:
Required:
• Bachelor’s degree or equivalent practical experience.
• 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
• 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
• Excellent problem-solving and troubleshooting skills to address complex technical challenges.
• Effective communication and collaboration skills to work with cross functional teams.
Preferred:
• Master's degree or PhD in Computer Science or related technical field.
• 2 years of experience with improving performance during large scale data processing.
• Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
• Excellent data analysis skills.
Company:
Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research, innovation, and empowering brilliant minds in AI. Founded in 2019, the company is headquartered in Abu Dhabi, ARE, with a team of 51-200 employees. The company is currently Growth Stage.