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Online Machine Learning Teaching Jobs in California

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction ...

Sift

Machine Learning Engineer

San Francisco, CA · On-site

$160 - $230/hr

Design, build, and deploy online machine learning models (including ensemble methods, deep learning, transformer architectures and graph-based models) to catch evolving fraud vectors in real time.

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110 - $165/hr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... Implement robust offline and online evaluation frameworks to measure model performance and business ...

Jobzhr

Machine Learning Engineer, Drive

Sunnyvale, CA · On-site

$168 - $247/hr

The Drive Machine Learning team builds the prediction and intelligence systems that power this ... Design and run rigorous online experiments, production monitoring, and model iteration to ...

Spotter

Machine Learning Scientist

Culver City, CA · On-site

Overview We're looking for a talented and intensely curious Machine Learning Scientist with deep ... and online learning systems that improve product outcomes. * Creating systems that balance ...

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Online Machine Learning Teaching information

What is the difference between Online Machine Learning Teaching vs Data Scientist?

AspectOnline Machine Learning TeachingData Scientist
Required CredentialsTypically a degree in Computer Science, Data Science, or related fields; teaching certifications may be beneficialDegree in Data Science, Statistics, Computer Science, or related fields; often requires experience in data analysis
Work EnvironmentOnline or in educational institutions, teaching students or professionalsCorporate or research settings, analyzing data, building models
Employer & Industry UsageEducational institutions, online training platforms, tech companiesTech companies, finance, healthcare, research organizations

Online Machine Learning Teaching focuses on educating students or professionals about machine learning concepts, often in an online or classroom setting. Data Scientists analyze data, develop models, and apply machine learning techniques in real-world projects. While both roles require knowledge of machine learning, teaching emphasizes instruction and communication, whereas data science emphasizes data analysis and model development.

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 Online Machine Learning Teaching jobs in California?

For Online Machine Learning Teaching jobs in California, the most frequently searched job titles are:

What job categories do people searching Online Machine Learning Teaching jobs in California look for?

The top searched job categories for Online Machine Learning Teaching jobs in California are:

What cities in California are hiring for Online Machine Learning Teaching jobs?

Cities in California with the most Online Machine Learning Teaching job openings:

Online Machine Learning Teaching jobs near you
Infographic showing various Online Machine Learning Teaching 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.

Machine Learning Engineer

Carlsbad, CA • On-site

NTENT
See more jobs at NTENTexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 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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