Machine Learning & AI Intern
Malmö, Skåne County, Sweden
Applications have closed
Sinch
Unlock meaningful conversations across the customer journey with programmable SMS, voice, email, video, & verification APIs!Are you looking for an exciting intern project in machine learning? Do you want to try out the experiments we’ve always been wanting to do but never have time for?
We are Sinch. With presence in more than 50 countries, we’re a growing global organization that helps amazing companies engage with customers on their mobile phones. And whether you know us or not, you’ve definitely used our tech. We reach every phone on earth, with over 147 billion conversations every year.
It’s not easy to reach every person, on every phone, on every channel, everywhere. Create the software that makes it happen. Join our team as a Machine Learning Intern in our AI&ML engineering team.
The essence of the role
We are growing rapidly and are constantly looking for skilled engineers. Doing an internship project at Sinch can be a first step towards becoming a fulltime "Sincher" or it can be a steppingstone for your career.
We have a number of different ideas on projects! Let us know which one(s) you are interested in. We are happy to discuss our ideas further and are always open to iterate and improve them.
To support you in your project you will have a supervisor from Sinch side who is chosen depending on the area of the project. We offer compensation after completing the project.
Sounds interesting? Join our Kaggle competition to build an intent classifier in order to apply.
In order to compete:
- Apply for the role and answer the questions in the application form
- Go to the Kaggle competition, sign up and send in a submission with a great performance
Some of our project ideas are:
- Make Question Answering model less sensitive to grammatical errors and phrasing differences
- Reduce the memory size of transformer models (incl. tokenizer)
- Phishing detection through text and webpage content
- Investigate real-time text-to-speech possibilities
- Data augmentation for multilabel text classification
- Multilabel sentiment analysis for text
- Speaker identification through voice
Who are you?
- We are looking for final year Master students in Computer Science, Machine Learning, Artificial intelligence or people with equivalent practical experience.
- The project needs to be around 4-6 months, but the minimum is 3 months.
- Do you have a fellow student in mind as a project partner? That’s great, It’s not a requirement but it’s a bonus if you have each other (please send one application and don’t forget to answer the questions in the application form)
- Location: Preferably Sweden, since most of us is in the CET time zone and many fellow colleagues are based in Sweden. But if you at least have 3 hours overlapping with the CET time zone you can also work remotely.
We believe you are an ambitious student with a great interest and curiosity in the AI and ML field. We expect you to plan and drive your work yourselves but will offer you the support you need from people within Sinch.
Are you ready? Be partof our journey and join our machine learning competition!
As a first step, and for you to get an idea of what you are in for, we have created a Kaggle competition to build an intent classifier.
In order to compete:
- Apply for the role and answer the questions in the application form
- Go to the Kaggle competition, sign up and send in your best ML model.
About the recruitment process:
To help us place the right people in the right role, we believe in science-based and fair assessment methods. We follow a competence-based, structured interview process where your skills, experience and attributes relevant to the role and Sinch will be assessed. As part of our recruitment process, pre-employment testing is used to help us increase our hiring success by identifying the candidates that are most likely to thrive and be successful in the role. We acknowledge that there are two parties making a decision in this process and welcome you to ask any questions you may have at any stage of the process.
Tags: Classification Computer Science Engineering Machine Learning Testing
Perks/benefits: Signing bonus Team events
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