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Summer Machine Learning Teaching Jobs (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

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 ...

Alignerr

Machine Learning Engineer

Richmond, VA · Remote

$50 - $70/hr

... the data required to teach models to solve problems consistently in actual environments ... Machine Learning Engineer - AI Data Trainer Type: Hourly Contract Compensation: $50-$70 /hour ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger ... This person will implement and develop machine learning models to enhance our platform ...

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$50 - $70/hr

... the data required to teach models to solve problems consistently in actual environments ... Machine Learning Engineer - AI Data Trainer Type: Hourly Contract Compensation: $50-$70 /hour ...

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All JobsSummer Machine Learning Teaching Jobs

Summer Machine Learning Teaching information

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$23K

$53.5K

$99.5K

How much do summer machine learning teaching jobs pay per year?

As of Jun 6, 2026, the average yearly pay for summer machine learning teaching in the United States is $53,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $60,000.00 per year, depending on experience, location, and employer.

What is the difference between Summer Machine Learning Teaching vs Summer Data Science Teaching?

AspectSummer Machine Learning TeachingSummer Data Science Teaching
Required CredentialsBackground in machine learning, programming, and statisticsKnowledge of data analysis, statistics, and programming
Work EnvironmentEducational settings, workshops, or bootcampsEducational or training programs, workshops, or bootcamps
Employer & Industry UsageUniversities, tech companies, educational platformsUniversities, research institutions, tech companies
Comparison Search IntentUnderstanding roles related to machine learning educationUnderstanding roles related to data science education

Summer Machine Learning Teaching focuses on instructing students in machine learning algorithms, models, and programming, often requiring a strong background in mathematics and programming. Summer Data Science Teaching covers broader data analysis skills, including statistics, data visualization, and programming. Both roles involve educational settings and are used by universities and tech companies, but they emphasize different technical areas.

More about Summer Machine Learning Teaching jobs
What cities are hiring for Summer Machine Learning Teaching jobs? Cities with the most Summer Machine Learning Teaching job openings:
What are the most commonly searched types of Machine Learning Teaching jobs? The most popular types of Machine Learning Teaching jobs are:
What states have the most Summer Machine Learning Teaching jobs? States with the most job openings for Summer Machine Learning Teaching jobs include:
What job categories do people searching Summer Machine Learning Teaching jobs look for? The top searched job categories for Summer Machine Learning Teaching jobs are:
Summer Machine Learning Teaching jobs near you
Infographic showing various Summer Machine Learning Teaching job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 52% Full Time, 23% Part Time, 6% Temporary, 13% Contract, and 4% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $53,476 per year, or $25.7 per hour.

Machine Learning Engineer

NTENT

Carlsbad, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 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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