ZipRecruiter

Log In

1

Machine Learning Teaching Jobs in California (NOW HIRING)

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Kiddom

Senior Machine Learning Engineer

San Francisco, CA · On-site

$175 - $250/hr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Your work will directly support teachers and students by delivering timely insights, personalized content, and intelligent assistance. What the job involves * Architect and scale machine learning ...

Kiddom

Machine Learning Researcher

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

As a Machine Learning Researcher, you will play a pivotal role in pushing the boundaries of what ... Your work will assist teachers by personalizing their teaching experience and improving student ...

ASAPP

Lead Machine Learning Engineer

Mountain View, CA · On-site

$170 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for a Machine Learning Engineer to help build and evaluate the core intelligence ... Desire to learn new things, work closely with peers from different teams, and open to teach and ...

ASAPP

Lead Machine Learning Engineer

Mountain View, CA · Hybrid

$170K - $190K/yr

We are looking for a Machine Learning Engineer to help build and evaluate the core intelligence ... Desire to learn new things, work closely with peers from different teams, and open to teach and ...

next page

Showing results 1-20

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 Aug 20, 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 is machine learning teaching?

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 are the typical responsibilities of machine learning teaching?

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 are the key skills and qualifications needed to thrive in machine learning teaching?

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 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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% 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 22 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.

Apply