Machine Learning Engineer
$150K - $277K/yr
... our users with the utmost optimal direct, secure, and privacy-preserving experiences ... As such, we are seeking candidates with applied machine learning experience and strong software ...
Machine Learning Engineer
$150K - $277K/yr
... our users with the utmost optimal direct, secure, and privacy-preserving experiences ... As such, we are seeking candidates with applied machine learning experience and strong software ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... The work you do here will have a noticeable and direct impact on the development of the company.
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... The work you do here will have a noticeable and direct impact on the development of the company.
About the Role As Director of Applied ML, you'll lead the function that sits at the intersection of ... Growth: $2,000 learning stipend, ongoing development * Office: Commuting support, free lunch, and ...
About the Role As Director of Applied ML, you'll lead the function that sits at the intersection of ... Growth: $2,000 learning stipend, ongoing development * Office: Commuting support, free lunch, and ...
Machine Learning Director (San Francisco)
San Francisco, CA · On-site
$300K - $321K/yr
This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.
Machine Learning Director (San Francisco)
San Francisco, CA · On-site
$300K - $321K/yr
This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.
This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.
This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.
Machine Learning Director (San Francisco)
San Francisco, CA · On-site
$300K - $321K/yr
This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.
Machine Learning Director (San Francisco)
San Francisco, CA · On-site
$300K - $321K/yr
This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.
ASE - Machine Learning Engineer, MLPT
Santa Clara, CA · On-site
$184K - $324K/yr
Senior Machine Learning Engineer, Apple Search & Knowledge Platforms Santa Clara, California ... user with a direct answer that best satisfies their intent and information seeking needs.
New
ASE - Machine Learning Engineer, MLPT
Santa Clara, CA · On-site
$184K - $324K/yr
Senior Machine Learning Engineer, Apple Search & Knowledge Platforms Santa Clara, California ... user with a direct answer that best satisfies their intent and information seeking needs.
New
Head of Machine Learning
Mountain View, CA · Hybrid
$477K - $583K/yr
As a fintech company where data and machine learning (ML) is integral to both our business strategy and user experience, we depend on robust, scalable systems to drive impactful decisions and deliver ...
Head of Machine Learning
Mountain View, CA · Hybrid
$477K - $583K/yr
As a fintech company where data and machine learning (ML) is integral to both our business strategy and user experience, we depend on robust, scalable systems to drive impactful decisions and deliver ...
Machine Learning Director (San Francisco)
San Francisco, CA · On-site
$300K - $321K/yr
This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.
Machine Learning Director (San Francisco)
San Francisco, CA · On-site
$300K - $321K/yr
This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.
Role Overview We are looking for a Head of Machine Learning to lead the development of the next generation of our machine learning platform. This role combines technical leadership, hands-on ...
Role Overview We are looking for a Head of Machine Learning to lead the development of the next generation of our machine learning platform. This role combines technical leadership, hands-on ...
Machine Learning Intern (Singapore)
$35 - $45/hr
Analyze and adapt machine learning models to improve compatibility, performance, and power ... direct emails, LinkedIn messages, or unsolicited submissions to employees, may not be reviewed or ...
Machine Learning Intern (Singapore)
$35 - $45/hr
Analyze and adapt machine learning models to improve compatibility, performance, and power ... direct emails, LinkedIn messages, or unsolicited submissions to employees, may not be reviewed or ...
Machine Learning Intern (Singapore)
San Jose, CA · On-site
$35 - $45/hr
Analyze and adapt machine learning models to improve compatibility, performance, and power ... direct emails, LinkedIn messages, or unsolicited submissions to employees, may not be reviewed or ...
Machine Learning Intern (Singapore)
San Jose, CA · On-site
$35 - $45/hr
Analyze and adapt machine learning models to improve compatibility, performance, and power ... direct emails, LinkedIn messages, or unsolicited submissions to employees, may not be reviewed or ...
Role Overview We are looking for a Head of Machine Learning to lead the development of the next generation of our machine learning platform. This role combines technical leadership, hands-on ...
Role Overview We are looking for a Head of Machine Learning to lead the development of the next generation of our machine learning platform. This role combines technical leadership, hands-on ...
Machine Learning Intern (Singapore)
San Jose, CA · On-site
$35 - $45/hr
Analyze and adapt machine learning models to improve compatibility, performance, and power ... direct emails, LinkedIn messages, or unsolicited submissions to employees, may not be reviewed or ...
Quick apply
Machine Learning Intern (Singapore)
San Jose, CA · On-site
$35 - $45/hr
Analyze and adapt machine learning models to improve compatibility, performance, and power ... direct emails, LinkedIn messages, or unsolicited submissions to employees, may not be reviewed or ...
Machine Learning Researcher
San Diego, CA · On-site
... g., Director and above). • 1+ year experience with machine learning research related to new models, systems innovations, platforms, or methodology. Principal Duties and Responsibilities: • ...
Machine Learning Researcher
San Diego, CA · On-site
... g., Director and above). • 1+ year experience with machine learning research related to new models, systems innovations, platforms, or methodology. Principal Duties and Responsibilities: • ...
Machine Learning Researcher
San Diego, CA · On-site
$159K - $238K/yr
... g., Director and above). * 1+ year experience with machine learning research related to new models, systems innovations, platforms, or methodology. Principal Duties and Responsibilities * Applies ...
Machine Learning Researcher
San Diego, CA · On-site
$159K - $238K/yr
... g., Director and above). * 1+ year experience with machine learning research related to new models, systems innovations, platforms, or methodology. Principal Duties and Responsibilities * Applies ...
Machine Learning
Cupertino, CA · On-site
Experience with Machine Learning and Large Language Model fundamentals, including architecture ... Criminal history may have a direct, adverse, and negative relationship with some of the material ...
Machine Learning
Cupertino, CA · On-site
Experience with Machine Learning and Large Language Model fundamentals, including architecture ... Criminal history may have a direct, adverse, and negative relationship with some of the material ...
Machine Learning Engineers
San Jose, CA · On-site
$136K - $280K/yr
Tiktok Machine Learning Engineer (Search) - E-commerce - San JoseSan JoseRegularR DJob ID: A162279 ... Our company believes that criminal history may have a direct, adverse and negative relationship on ...
Machine Learning Engineers
San Jose, CA · On-site
$136K - $280K/yr
Tiktok Machine Learning Engineer (Search) - E-commerce - San JoseSan JoseRegularR DJob ID: A162279 ... Our company believes that criminal history may have a direct, adverse and negative relationship on ...
Machine Learning Scientist
Irvine, CA · On-site
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 ...
Machine Learning Scientist
Irvine, CA · On-site
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 ...
Machine Learning Engineer
Campbell, CA · On-site
We are looking for Machine Learning Engineers who have built product models from idea to delivery ... Building targeting models for our Direct Mail Channel * Building risk models from both existing ...
Machine Learning Engineer
Campbell, CA · On-site
We are looking for Machine Learning Engineers who have built product models from idea to delivery ... Building targeting models for our Direct Mail Channel * Building risk models from both existing ...
Director Machine Learning information
See California salary details
$35.5K - $44.9K
2% of jobs
$44.9K - $54.4K
2% of jobs
$54.4K - $63.8K
9% of jobs
$72.1K is the 25th percentile. Wages below this are outliers.
$63.8K - $73.2K
14% of jobs
$73.2K - $82.6K
12% of jobs
The median wage is $89.1K / yr.
$82.6K - $92.1K
17% of jobs
$92.1K - $101.5K
18% of jobs
$102.6K is the 75th percentile. Wages above this are outliers.
$101.5K - $110.9K
13% of jobs
$110.9K - $120.3K
5% of jobs
$120.3K - $129.7K
5% of jobs
$129.7K - $139.2K
3% of jobs
$35.5K
$90.7K
$139.2K
How much do director machine learning jobs pay per year?
As of Sep 10, 2026, the average yearly pay for director machine learning in California is $90,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $104,600.00 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 California?
The most popular types of Machine Learning jobs in California are:
What are popular job titles related to Director Machine Learning jobs in California?
For Director Machine Learning jobs in California, the most frequently searched job titles are:
- Remote Digital Art Teacher
- Flexible Machine Learning Engineer Biotech
- Lead Machine Learning Engineer
- Senior Machine Learning Engineer
- Staff Software Engineer Machine Learning
- Machine Engineer
- Temporary Machine Learning R
- Remote Internship Machine Learning Engineer
- Volunteer Junior Machine Learning Engineer
- Senior Machine Learning Researcher
What job categories do people searching Director Machine Learning jobs in California look for?
The top searched job categories for Director Machine Learning jobs in California are:
- Freelance Machine Learning Compiler Engineer
- Reinforcement Learning Robotics
- Machine Learning Engineer Associate
- Senior Meta Machine Learning
- Junior Machine Learning
- Contract Audio Machine Learning
- Contract Apple Machine Learning Engineer
- No Experience Nvidia Machine Learning
- Patterned Learning Ai
- Hourly Remote Machine Learning
What cities in California are hiring for Director Machine Learning jobs?
Cities in California with the most Director Machine Learning job openings:
Machine Learning Engineer
Santa Clara, CA
Apple
• Computer and Electronic Product Manufacturing • 10K+ employees10,000+ employees
$150K - $277K/yr
Full-time
Medical, Dental, Retirement
Re-posted 12 days ago
Key responsibilities
Leverage and enhance the latest advancements in machine learning and software engineering to contribute to the delivery of generative experiences.
Develop evaluation techniques to measure and calibrate model responses accurately.
Collaborate with cross-functional teams to develop innovative features and improve the search experience for end-users.
Apple rating
8.1
Based on 684 frontline employees who took The Breakroom Quiz
Job description
Are you interested in enhancing the capabilities of Siri and Apple products to benefit our users? The Siri and Information Intelligence team is revolutionizing how hundreds of millions of people utilize their devices to access information. As an Applied ML team, we are pushing the boundaries to provide our users with the utmost optimal direct, secure, and privacy-preserving experiences, simultaneously delivering Apple-level design and aesthetics through generative AI techniques. Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking candidates with applied machine learning experience and strong software engineering skills.
Description
Leverage and enhance the latest advancements in machine learning and software engineering to effectively contribute to the successful delivery of generative experiences. Develop world-class evaluation techniques to ensure the accurate measurement and calibration of model responses. Collaborate with diverse teams, including infrastructure, quality, data, product, and design, to develop innovative features and contribute to the creation of an exceptional search experience for our end-users. Mentor aspiring applied scientists and engineers to broaden their horizons and amplify their impact. Contribute to the formation of a world-class team!
Preferred Qualifications
Masters or PhD in the area of Computer Science or equivalent, or a related
Knowledge and prior experience with some deep learning and GenAI frameworks are desired.
Building machine-learned models for search relevance ranking query understanding and questioning
Prior experience in consumer facing product is desired
Minimum Qualifications
Bachelors in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience
3+ years of industry related experience, working in collaborative environments
Experience with using: PyTorch, TensorFlow, or JAX for training and deploying deep learning models
Understanding product requirements then translating them into modeling tasks and engineering tasks
Proficient in at least two programming languages such as: C/C++, Go, Python, Java
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Description
Leverage and enhance the latest advancements in machine learning and software engineering to effectively contribute to the successful delivery of generative experiences. Develop world-class evaluation techniques to ensure the accurate measurement and calibration of model responses. Collaborate with diverse teams, including infrastructure, quality, data, product, and design, to develop innovative features and contribute to the creation of an exceptional search experience for our end-users. Mentor aspiring applied scientists and engineers to broaden their horizons and amplify their impact. Contribute to the formation of a world-class team!
Preferred Qualifications
Masters or PhD in the area of Computer Science or equivalent, or a related
Knowledge and prior experience with some deep learning and GenAI frameworks are desired.
Building machine-learned models for search relevance ranking query understanding and questioning
Prior experience in consumer facing product is desired
Minimum Qualifications
Bachelors in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience
3+ years of industry related experience, working in collaborative environments
Experience with using: PyTorch, TensorFlow, or JAX for training and deploying deep learning models
Understanding product requirements then translating them into modeling tasks and engineering tasks
Proficient in at least two programming languages such as: C/C++, Go, Python, Java
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976