Machine Learning Engineer in Speech and Voice Technologies
Sinch, Sweden

Experience
1 Year
Salary
0 - 0
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
No
Qualification
Master's Degree
Total Vacancies
1 Job
Posted on
Apr 29, 2021
Last Date
May 29, 2021
Location(s)

Job Description

Sinch brings businesses and people closer though APIs and web services. We are a leading global Communication Platform as a Service (CPaaS) provider, offering messaging, voice and video communication solutions to a large global customer base. Our APIs and the platform deal with over 40 billion engagements annually. So how do we use machine learning? Well the short answer to that question is: in any way it can provide value for our customers! We use Machine Learning (ML) to optimize our platform and to help our customers gain insights about their consumers, we use Natural Language Processing (NLP) to power some of the mobile messaging services we offer and we also build our own speech-to-text algorithms.

This is just the beginning. We want to make a difference in speech technology and we need more Speech ML Engineering talent to make it happen!


The essence of the role

Think of this team as Sinch's Machine Learning incubation engine! We are determined to learn more from our data to provide even better services, products and insights to our customers. This is where we first try out crazy new ideas on how to use ML to solve the real life problems we see. When we have done an initial prototype we hand over the projects to other teams in the organization - that means your role also includes educating others about machine learning. This is a new team, currently made up of twelve Machine Learning engineers, four Full-Stack Developers and led by our Director of Engineering in Machine Learning and AI. But when we say "led by", that doesn't mean you will be told what to do. This team has a lot of freedom to set up their own ways of working and focus on the projects and tasks they see are most important to do to add value to the organization and our clients.

As our ML Engineer in Speech you will:

  • Experiment with, apply and benchmark new ML algorithms
  • Set up proof-of-concepts and bring those to the product
  • Productize cutting-edge research
  • Deploy machine learning code in the cloud
  • Actively keep your eye out for new and emerging machine learning solutions that might add value to the products and/or the customers
  • Bring your ideas to the table to create value for our customers
Who are you?

This job isn’t for everyone. If you don’t like collaborating, if you dislike communicating, if you just want to build what you are told, or if working on challenging machine learning problems isn’t your thing, that’s OK. But this is probably not the role for you. However, if you are up for a varying and challenging role, like to work in a close knit team to solve problems and find ways to make an impact with ML then you should definitely apply!

In order to contribute in this role:

  • You have worked with Machine Learning for at least 5 years
  • You have at least 2 years of experience with speech technologies: for example speech-to-text or text-to-speech
  • You are proficient with at least one of the following techniques: CNNs, RNNs or Transformers
  • You are proficient in Python and at least one toolbox like TensorFlow or PyTorch
  • You have done multiple ML project in your career and are keen to do many more!
  • You preferably have a master’s degree in Computer Science, AI or equivalent skills
  • You are fluent in English
Are you ready? Join us on our journey!

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.

Job Specification

Job Rewards and Benefits

Sinch

Information Technology and Services - Berlin, Germany
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