Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Machine Learning Engineer Intern
Palo Alto, California
Actively hiring, first seen by us today- Pay
USD 47/hour — pay source
Salary 47 USD per hour Commitment to Inclusion
Read the full posting- Work setting
Hybrid — work setting source
Where you’ll work This is a hybrid role that requires in-office collaboration three days per week in Palo Alto, California. About the Role
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Internship — employment source
Employment type Internship
Employment type in the employer’s posting: Internship
From the employer’s posting
Before you apply
- New graduates
- For current students
Currently pursuing a BS/BA or MS in Computer Science or a related field
What you’ll work on
Full postingThe Tinder ML team drives impact across nearly every core domain of the product — from Recommendations and Trust & Safety to Profile, Chat, Growth, and Revenue.
Design and implement machine learning algorithms for the assigned domains: Recommendation, Trust, Profile, Chat, Growth, or Revenue.
Work closely with a Senior Engineers to develop machine learning solutions to further Tinder’s business goals.
From the employer’s posting
The Tinder ML team drives impact across nearly every core domain of the product — from Recommendations and Trust & Safety to Profile, Chat, Growth, and Revenue. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder’s ecosystem. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology. In this internship program, you will collaborate with senior engineers to build and deploy ML solutions that advance Tinder’s business goals.
Gain real-world experience on exciting challenges to improve the user experience. Design and implement machine learning algorithms for the assigned domains: Recommendation, Trust, Profile, Chat, Growth, or Revenue. Experience the ML model formulation of production problem under the guidance.
Experience the ML model formulation of production problem under the guidance. Work closely with a Senior Engineers to develop machine learning solutions to further Tinder’s business goals. Participate in the annual Tindership Hackathon, presenting with your team to the entire Tinder team and panel of executives.
About Match Group
As humans, there are few things more exciting than meeting someone new.
In the employer’s words · Read in context
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 6, 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
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 71.
At Match Group, jobs usually come down by about day 43.
From 4,626 similar postings that came down, and 15 of Match Group’s. Coming down is not always a hire.
Match Group is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down at a usual pace
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.
- Java
- Scala
- Databricks
- Spark
- Airflow
- Keras
- PyTorch
- TensorFlow
- Python
- Go
Where the posting names them
- Experience with Databricks, Spark, or Airflow. - Proficiency in additional programming languages like Go, Java or Scala. The compensation range listed above is representative of the hourly rate offered.
- Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras. - Experience with Databricks, Spark, or Airflow. - Proficiency in additional programming languages like Go, Java or Scala.
- Experience deploying ML models in production environments. - Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras. - Experience with Databricks, Spark, or Airflow.
- Practical knowledge of how to build efficient end-to-end ML workflows. - Proficient in Python. - Hands-on experience in designing and building ML models.
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Applying through Lever
- No account needed: one form, and Lever reads your resume into the profile recruiters search.
Already applied? Track this application
About Match Group
- People
- About 1,593 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as MTCH.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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 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
Our Mission
As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing.
We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
Our Values
- Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down.
- Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.
- Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.
- Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same.
- Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us.
- Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.
Program Duration
The internship program will run from June 1 through August 31, 2027.
Where you’ll work
This is a hybrid role that requires in-office collaboration three days per week in Palo Alto, California.
About the Role
The Tinder ML team drives impact across nearly every core domain of the product — from Recommendations and Trust & Safety to Profile, Chat, Growth, and Revenue. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder’s ecosystem. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology. In this internship program, you will collaborate with senior engineers to build and deploy ML solutions that advance Tinder’s business goals.
What you'll do:
- Gain real-world experience on exciting challenges to improve the user experience.
- Design and implement machine learning algorithms for the assigned domains: Recommendation, Trust, Profile, Chat, Growth, or Revenue.
- Experience the ML model formulation of production problem under the guidance.
- Work closely with a Senior Engineers to develop machine learning solutions to further Tinder’s business goals.
- Participate in the annual Tindership Hackathon, presenting with your team to the entire Tinder team and panel of executives.
What we're looking for:
- Aspiring ML Engineer who’s excited to work on large scale challenges with cutting-edge technology.
- Practical knowledge of how to build efficient end-to-end ML workflows.
- Proficient in Python.
- Hands-on experience in designing and building ML models.
- Foundational knowledge of basic Computer Science principles: data structures and algorithms.
- Currently pursuing a BS/BA or MS in Computer Science or a related field.
Nice to have:
- Publications in top ML or data science conferences (e.g., NeurIPS, ICML, RecSys, KDD).
- Experience deploying ML models in production environments.
- Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
- Experience with Databricks, Spark, or Airflow.
- Proficiency in additional programming languages like Go, Java or Scala.
The compensation range listed above is representative of the hourly rate offered.
Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting.
Salary
47 USD per hour
Commitment to Inclusion
At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
#Tinder
Employment type
Internship
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 47 USD per hour Commitment to Inclusion
- Location & working pattern
Palo Alto, California
Where you’ll work This is a hybrid role that requires in-office collaboration three days per week in Palo Alto, California. About the Role
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.