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Internship Junior Machine Learning Engineer Jobs

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

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 ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

Spotify

Machine Learning Engineer

Spotify is a leading music streaming platform, and they are seeking a Machine Learning Engineer to join their Music Promotion team. The role involves building systems to understand the performance of ...

PitchBook Data

Machine Learning Engineer

Seattle, WA

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role ... Provide situational guidance to junior engineers and contribute to team best practices * Build and ...

Hirekeyz Inc

Lead Machine Learning Engineer

Fort Belvoir, VA · On-site

$115K - $152K/yr

... Internship experience does not apply) * Proven track record in designing, building, and/or ... Abilty to mentor and coach junior resources with delivery tasks. * Self-motivated, with the ability ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

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Internship Junior Machine Learning Engineer information

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$33.5K

$71.8K

$109.5K

How much do internship junior machine learning engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for internship junior machine learning engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Junior Machine Learning Engineer vs Data Analyst Intern?

AspectInternship Junior Machine Learning EngineerData Analyst Intern
Required skillsBasic programming, understanding of ML algorithms, Python, data preprocessingData visualization, SQL, Excel, statistical analysis
Work environmentTech companies, AI startups, research labsBusiness, marketing, finance sectors
Common industry usageDeveloping ML models, data pipelinesInterpreting data, generating reports

Internship Junior Machine Learning Engineers focus on building and optimizing machine learning models, requiring programming and algorithm knowledge. Data Analyst Interns analyze data sets to generate insights, emphasizing visualization and statistical skills. Both roles are entry-level internships but serve different functions within data-driven projects.

What cities are hiring for Internship Junior Machine Learning Engineer jobs? Cities with the most Internship Junior Machine Learning Engineer job openings:
What are the most commonly searched types of Junior Machine Learning Engineer jobs? The most popular types of Junior Machine Learning Engineer jobs are:
What states have the most Internship Junior Machine Learning Engineer jobs? States with the most job openings for Internship Junior Machine Learning Engineer jobs include:
What job categories do people searching Internship Junior Machine Learning Engineer jobs look for? The top searched job categories for Internship Junior Machine Learning Engineer jobs are:
Internship Junior Machine Learning Engineer jobs near you
Infographic showing various Internship Junior Machine Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

NTENT

Carlsbad, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 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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