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Machine Learning Teaching Jobs in California (NOW HIRING)

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Design tools and interfaces for interactive machine learning and teaching. * Research and development on cutting-edge machine learning technologies. Qualifications and Skills: * Graduate degree in ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Design tools and interfaces for interactive machine learning and teaching. * Research and development on cutting-edge machine learning technologies. Qualifications and Skills: * Graduate degree in ...

Inference

Machine Learning Researcher

San Francisco, CA · On-site

$250K - $350K/yr

Your work will span from exploring new architectures and learning methods to optimizing latency and ... teachers * Train models for clients and run evaluations to validate research findings in production ...

Speak

Machine Learning Engineer, Voice

San Francisco, CA · On-site

$200K - $300K/yr

About this role We are looking for an experienced Machine Learning Engineer to join our team and help develop cutting-edge speech recognition models that help teach language fluency. In this role you ...

Rubrik

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$123K - $168K/yr

They are seeking a Senior Machine Learning Engineer to work on their Semantic AI Governance Engine ... frontier teacher models. • Training anomaly and action-severity models that catch novel agent ...

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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 30, 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
Infographic showing various Machine Learning Teaching job openings in California as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $52,775 per year, or $25.4 per hour.

Machine Learning Engineer

NTENT

Carlsbad, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

Machine Learning Engineer
Position: Full time
Location: Carlsbad office
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.

Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.

The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

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