Time since we first saw it
Day 155
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,331 similar postings that came down. Coming down is not always a hire.
Data and Machine Learning Intern
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- New graduates
- For current students
Job title: Data and Machine Learning Intern
What you’ll work on
Full postingHelp design, build and maintain data pipelines for clean, reliable data
Implement and optimize ETL processes with the team
Integrate data from various sources into warehouses, lakes and lakehouses
Build ML systems and models tied to business objectives
Analyze data distributions and identify model errors
From the employer’s posting
Assist in designing, developing and maintaining data pipelines to ensure clean, reliable and timely data.
Collaborate with the team to implement and optimize ETL processes.
Integrate data from various sources into warehouses, data lakes and lakehouses.
Understand business objectives and develop models that help achieve them, plus metrics to track their progress.
Identify and analyze model errors.
What you’ll bring
All qualificationsCore experience
- Last year of a bachelor's degree in Computer Science or related
- Basic knowledge of Python, ML and data libraries
- Basic knowledge of databases
- Understanding of statistical, ML and deep learning algorithms
- Proficient in English
Qualification wording
Last year of a bachelor’s degree in Computer Science or related
Basic knowledge of Python, ML, and Data libraries
Basic knowledge of Databases
Understanding of statistical, ML and deep learning algorithms
Proficient in English
Education & alternatives
Required Hard Skills - Last year of a bachelor’s degree in Computer Science or related - Proficient in English
Benefits in the posting
Full benefits wording- Every other Friday off
- Health Bonus
- Remote and flexible
- Paid sick days and local holidays
From the employer’s posting.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026155 days ago
- Recorded sightings
- 31
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Loka® is hiring
4 open jobs
- Its jobs tend to stay up a long time
See 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
- AWS
- Spark
- Airflow
Where the posting names them
- Proficient in English - Basic knowledge of Python, ML, and Data libraries - Basic knowledge of Databases
- Problem solving - Bonus: AWS knowledge, (Py)Spark, Airflow, Data Lakes and Data Warehouses Required Soft Skills
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Duration: Six months
Format: Full time (40 hrs/week), paid
In the last year at Loka, our teams launched almost 200 GenAI projects for companies of all kinds, including the world’s Number 1 GenAI reading tutor, a startup that transforms homes into batteries and a leading cancer-fighting laboratory. And we did it all while enjoying every other Friday off 😎
As a Data - Machine Learning Intern, you'll gain professional experience supporting Loka’s certified specialists, technical experts and PhDs while elevating your skillset, building a portfolio and launching projects you’re proud of.
The Role
- Assist in designing, developing and maintaining data pipelines to ensure clean, reliable and timely data.
- Collaborate with the team to implement and optimize ETL processes.
- Integrate data from various sources into warehouses, data lakes and lakehouses.
- Support data management tasks, including data cleaning, validation and transformation.
- Understand business objectives and develop models that help achieve them, plus metrics to track their progress.
- Implement ML systems using classical ML, DL and Foundation Models following best practices.
- Participate in client communications by helping gather requirements and communicate deliverables.
- Explore and visualize data with a careful eye for issues that require data cleaning as well as differences in data distribution that may affect performance after deployment.
- Identify and analyze model errors.
Required Hard Skills
- Last year of a bachelor’s degree in Computer Science or related
- Proficient in English
- Basic knowledge of Python, ML, and Data libraries
- Basic knowledge of Databases
- Understanding of statistical, ML and deep learning algorithms
- Experience visualizing and manipulating big datasets
- Problem solving
- Bonus: AWS knowledge, (Py)Spark, Airflow, Data Lakes and Data Warehouses
Required Soft Skills
- Curiosity: You’re ambitious to learn and grow in different industries utilizing a modern tech stack.
- Autonomy and positivity: We’re a fully remote, globally distributed team.
- Teamwork: Enjoy a collaborative approach.
- Adaptability: Operate with a startup mindset and move at a startup pace.
- Dependable: You can be trusted to deliver high-quality work.
Benefits
- Every other Friday off
- Health Bonus
- Remote and flexible
- Paid sick days and local holidays
Please submit your CV in English.
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
Colombia
- Curiosity: You’re ambitious to learn and grow in different industries utilizing a modern tech stack. - Autonomy and positivity: We’re a fully remote, globally distributed team. - Teamwork: Enjoy a collaborative approach.
More source context
- Health Bonus - Remote and flexible - Paid sick days and local holidays
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.