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ML Intern
Remote, full-time.
Actively hiring, first seen by us 4 hours ago- Pay
- Pay not listed
- Work setting
Remote — work setting source
Listed location: remote
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting
Before you apply
- New graduates
- For current students
Job title: ML Intern
What you’ll work on
Full postingJoin a machine learning team focused on improving large language model efficiency and quality.
Build and maintain data pipelines for model training and evaluation workflows.
Analyze performance metrics to assess model quality and efficiency.
From the employer’s posting
Join a machine learning team focused on improving large language model efficiency and quality. You will help develop and evaluate approaches that reduce token usage while maintaining strong output quality.
Experiment with language model configurations to identify optimization opportunities. Build and maintain data pipelines for model training and evaluation workflows. Analyze performance metrics to assess model quality and efficiency.
Build and maintain data pipelines for model training and evaluation workflows. Analyze performance metrics to assess model quality and efficiency. Contribute to internal tools that monitor and optimize model behavior.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
clera is hiring
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
- A degree in computer science, data science, engineering, mathematics, or a related field, or equivalent practical experience. - Hands-on experience building or training machine learning models with Python and frameworks such as PyTorch, TensorFlow, or scikit-learn. - Knowledge of machine learning, statistics, model evaluation, and optimization techniques.
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
About the Role
Join a machine learning team focused on improving large language model efficiency and quality. You will help develop and evaluate approaches that reduce token usage while maintaining strong output quality.
What You'll Do
Experiment with language model configurations to identify optimization opportunities.
Build and maintain data pipelines for model training and evaluation workflows.
Analyze performance metrics to assess model quality and efficiency.
Contribute to internal tools that monitor and optimize model behavior.
Follow current machine learning and language model research and apply relevant findings to product improvements.
What We're Looking For
A degree in computer science, data science, engineering, mathematics, or a related field, or equivalent practical experience.
Hands-on experience building or training machine learning models with Python and frameworks such as PyTorch, TensorFlow, or scikit-learn.
Knowledge of machine learning, statistics, model evaluation, and optimization techniques.
Familiarity with large language models, natural language processing, and prompt design or tuning.
Experience building machine learning data pipelines and analyzing model performance metrics.
Experience contributing to tools or monitoring systems for tracking model performance is helpful.
Location
Remote, full-time.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
remote
Location Remote, full-time.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.