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Machine Learning Teaching Jobs in California (NOW HIRING)

CYNET SYSTEMS

Principal Data Scientist

Oakland, CA · On-site

$128 - $148/hr

Master's Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical ... Ability to develop, coach, teach and/or mentor others to meet both their career goals and the ...

Intuit

Manager 2, AI Science

San Diego, CA · On-site

$211K - $285K/yr

In this role you will be building and deploying machine learning models using both analytical ... Understand and teach proven methods and hacking skills in working with divergent data types at ...

Intuit

Manager 2, AI Science

San Diego, CA

$211K - $285K/yr

In this role you will be building and deploying machine learning models using both analytical ... Understand and teach proven methods and hacking skills in working with divergent data types at ...

Intuit

Manager 2, AI Science

San Diego, CA

$211K - $285K/yr

In this role you will be building and deploying machine learning models using both analytical ... Understand and teach proven methods and hacking skills in working with divergent data types at ...

career

Curriculum Product Manager

Mountain View, CA · On-site

Basic knowledge of AI / machine learning is required. * In-depth knowledge of instructional design best practices, with experience in designing, structuring, and teaching technical courses.

career

Curriculum Product Manager

Mountain View, CA

$150K - $180K/yr

Basic knowledge of AI / machine learning is required. * In-depth knowledge of instructional design best practices, with experience in designing, structuring, and teaching technical courses.

career

Curriculum Product Manager

Mountain View, CA · On-site

Basic knowledge of AI / machine learning is required. * In-depth knowledge of instructional design best practices, with experience in designing, structuring, and teaching technical courses.

NYFA

Cinematic AI Specialist

Burbank, CA · On-site +1

$55 - $75/hr

Teaching or mentorship experience. * Familiarity with diffusion models, generative video, multimodal AI tools, or machine learning workflows. * Background in entertainment, digital media, or content ...

NYFA

Cinematic AI Specialist

Burbank, CA · On-site

$55 - $75/hr

Teaching or mentorship experience. * Familiarity with diffusion models, generative video, multimodal AI tools, or machine learning workflows. * Background in entertainment, digital media, or content ...

Adobe

Senior Applied Scientist

San Jose, CA · On-site

$107K - $146K/yr

... Science & Machine Learning group. The role focuses on improving the quality and efficiency of ... teacher models into smaller, efficient student models. • Carry out and refine post-training ...

Adobe

Applied Scientist 3

San Jose, CA · On-site

... Machine Learning group. This role focuses on refining and compressing large-scale AI models to ... teacher models into smaller, efficient student models. • Carry out and refine post-training ...

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All JobsMachine Learning Teaching JobsMachine Learning Teaching Jobs in California

Machine Learning Teaching information

See California salary details

$22.7K

$52.8K

$98.2K

How much do machine learning teaching jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning teaching in California is $52,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,400.00 and $59,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Teaching position, and why are they important?

To thrive in a Machine Learning Teaching role, you need in-depth knowledge of machine learning concepts, proficiency with programming languages like Python or R, and an advanced degree in computer science or a related field. Experience with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and familiarity with curriculum development and teaching technologies are typically required. Strong communication, patience, and the ability to clearly explain complex topics make educators especially effective. These skills ensure students gain practical expertise and solid theoretical foundations, preparing them for real-world machine learning careers.

What are the typical responsibilities of a Machine Learning Teaching professional?

Machine Learning Teaching professionals are responsible for designing and delivering lessons on core machine learning principles, guiding students through practical projects, and assessing their progress. They may create course materials, conduct lectures and labs, and offer mentorship to students on capstone or research projects. Collaboration with other faculty or industry experts is common for curriculum updates and staying current with advancements in the field. Additionally, they often provide feedback, support diverse learners, and help students connect theory with real-world applications, ensuring a comprehensive educational experience.

What is a Machine Learning Teaching job?

A Machine Learning Teaching job involves educating students or professionals about machine learning concepts, algorithms, and applications. Responsibilities may include designing curricula, delivering lectures, conducting hands-on coding sessions, and mentoring learners. These roles exist in universities, online education platforms, and corporate training programs. Strong knowledge of machine learning frameworks, programming (e.g., Python, TensorFlow, PyTorch), and effective teaching skills are essential for success.

What is the salary of machine learning trainer?

The salary of a machine learning trainer varies based on experience, location, and employer, but typically ranges from $60,000 to $120,000 annually. Professionals with advanced skills in programming, data analysis, and deep learning tools like Python, TensorFlow, or PyTorch tend to earn higher salaries.

Which 3 jobs will survive AI?

Machine Learning Teaching roles are likely to persist as they involve explaining complex concepts, mentoring, and adapting to new AI tools. Jobs requiring emotional intelligence, creativity, and critical thinking—such as healthcare professionals, educators, and skilled tradespeople—are also expected to remain in demand despite AI advancements.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles usually involve developing innovative AI solutions, managing teams, and working with cutting-edge tools and frameworks, with compensation reflecting the expertise and impact expected.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation can handle certain tasks, MLEs are essential for creating, optimizing, and troubleshooting complex models. AI tools may augment their work, but the role requires expertise in data science, programming, and domain knowledge that cannot be fully replaced by AI itself.
What are the most commonly searched types of Machine Learning Teaching jobs in California? The most popular types of Machine Learning Teaching jobs in California are:
What are popular job titles related to Machine Learning Teaching jobs in California? For Machine Learning Teaching jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Teaching jobs in California look for? The top searched job categories for Machine Learning Teaching jobs in California are:
What cities in California are hiring for Machine Learning Teaching jobs? Cities in California with the most Machine Learning Teaching job openings:
Machine Learning Teaching jobs near you
Principal Data Scientist

Principal Data Scientist

CYNET SYSTEMS

Oakland, CA • On-site

$128 - $148/hr

Contractor

Posted 7 days ago

Job description

Job Overview:

Pay Range: $128.66hr - $148.45hr

Requirement/Must Have:

  • Master’s Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field.
  • Experience in Data Science, 8+ years or 2+ years experience if possessing Doctoral Degree or higher in a related field.

Responsibilities:

  • Researches and applies advanced knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
  • Creates advanced data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets.
  • Extracts, transforms, and loads data from dissimilar sources for machine learning feature engineering.
  • Applies data science/machine learning/artificial intelligence methods to develop defensible and reproducible predictive or optimization models.
  • Wrangles and prepares data as input for machine learning model development and feature engineering.
  • Architects, develops, and documents reusable functions and modular code for data science.
  • Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures, and advanced data analysis.
  • Works with stakeholder departments and subject matter experts to understand application and potential of data science solutions.
  • Presents findings and makes recommendations to senior management.
  • Acts as peer reviewer of complex models.

Nice to Have:

  • Doctorate Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field.
  • Expertise in experimental design and causal inference methods.
  • Expertise in statistical methods for time series analysis, statistical modeling, and probabilistic risk assessment.
  • Relevant industry experience (electric or gas utility, data science consulting, etc.).
  • Familiarity with the use of supervised, unsupervised, deep learning & physics-based methods for modeling electrical infrastructure failure modes.
  • Competency with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices.
  • Knowledge of industry trends and current issues in job-related area of responsibility.
  • Competency with Agile product development best practices.
  • Proficiency with Python or PySpark, code reviews, and code development best practices.
  • Proficiency in explaining technical concepts including statistical inference, machine learning algorithms, software engineering, model deployment pipelines.
  • Mastery in clearly communicating complex technical details and insights to colleagues and stakeholders.
  • Ability to develop, coach, teach and/or mentor others to meet both their career goals and the organization goals.

Skills:

  • Pyspark proficiency.
  • User interface development proficiency.
  • Strong cross-functional collaboration skills.
 

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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