Data & AnalyticsOn-site

Applied AI Intern

Eragon · On-site

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Eragon's Ashby job board and last checked it on September 12, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: $1,000 - $2,000
Location: San Francisco

Hiring context

How this role compares at Eragon

Eragon has 4 live roles in MeritLog’s catalog across 2 job families, and 3 of them are in data & analytics. 4 of those listings publish a pay range, a disclosure rate of 100%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

Model Development: Assist in fine-tuning, evaluating, and applying machine learning models to real-world problems
System Implementation: Help build and integrate AI-powered features into production systems
Data & Pipelines: Work with datasets to support training, evaluation, and iteration
Experimentation: Run experiments, analyze results, and iterate on model performance
Evaluation & Monitoring: Contribute to evaluation frameworks and help track system performance
Cross-Functional Collaboration: Work with engineering and product teams to support feature development

What they're asking for

Education: Currently pursuing a Bachelor’s or Master’s in Computer Science, Engineering, or a related fieldEducation
Technical Skills: Proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow)Skill
ML Fundamentals: Understanding of basic machine learning concepts and workflowsSkill
Problem Solving: Ability to break down problems and contribute to practical solutionsSkill
Curiosity & Ownership: Strong desire to learn and contribute in a fast-paced environmentSkill
Experience with ML projects, internships, or researchSkillPreferred
Familiarity with LLMs, agents, or data pipelinesSkillPreferred
Experience building projects outside of courseworkSkillPreferred
Interest in working on real-world AI applicationsSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

JOB DESCRIPTION We’re looking for an Applied AI Intern to help build and deploy production-grade AI systems. In this role, you’ll work closely with engineers and researchers to take models from concept to real-world applications. You’ll gain hands-on experience working across modeling, data, and systems, contributing to projects that ship to real users. KEY RESPONSIBILITIES - Model Development: Assist in fine-tuning, evaluating, and applying machine learning models to real-world problems - System Implementation: Help build and integrate AI-powered features into production systems - Data & Pipelines: Work with datasets to support training, evaluation, and iteration - Experimentation: Run experiments, analyze results, and iterate on model performance - Evaluation & Monitoring: Contribute to evaluation frameworks and help track system performance - Cross-Functional Collaboration: Work with engineering and product teams to support feature development MINIMUM QUALIFICATIONS - Education: Currently pursuing a Bachelor’s or Master’s in Computer Science, Engineering, or a related field - Technical Skills: Proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow) - ML Fundamentals: Understanding of basic machine learning concepts and workflows - Problem Solving: Ability to break down problems and contribute to practical solutions - Curiosity & Ownership: Strong desire to learn and contribute in a fast-paced environment NICE TO HAVE - Experience with ML projects, internships, or research - Familiarity with LLMs, agents, or data pipelines - Experience building projects outside of coursework - Interest in working on real-world AI applications

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