MLOps Engineer

At Epidemic Sound, we make soundtracking content simple and inspiring with unlimited access to music and sound effects. Headquartered in Stockholm, with offices all over the world, we are a force of over 500 on a mission to soundtrack the world. Our innovative licensing model paves the way for creators - from YouTubers to small businesses to the world’s most recognizable brands such as Netflix, Redbull and BBC - to use sound to enhance their content while simultaneously supporting artists both financially and creatively. Epidemic Sound music is heard 2 billion times a day on YouTube alone and is recognized as one of Europe’s fastest-growing companies by the Financial Times. Epidemic Sound is backed by EQT, Blackstone, Creandum, Atwater Capital to name a few.

We continue to invest heavily in machine learning (ML) and are seeking an exceptional MLOps Engineer to join our ongoing MLOps efforts! As an MLOps Engineer, you will be part of our site reliability engineering (SRE) team and work closely with our ML team to streamline the ML application development process, enabling a seamless path to production. You can look forward to owning challenges like building and maintaining the infrastructure and tooling required to enable our machine learning team to create innovative applications.

How you will make an impact:

Set up and maintain infrastructure for training and serving ML models

Streamline ML application development

Setup and maintain CI/CD pipelines for ML workloads with batch and streaming predictions

Manage data dependencies for ML workflows

Ensure a dependable data pipeline from the data warehouse to the ML training platform

Champion MLE interests in tech forums and keep up to date with current SRE technologies and topics.

To succeed in this role, we believe that you have most of the following skills:

Experience with MLOps and SRE practices and technologies

Experience maintaining large scale systems

Proficiency in GCP (or any other cloud prodiver) and services such as BigQuery, Dataflow, Google Cloud Storage

Experience with pipeline orchestration tools (preferably Vertex AI Pipelines and/or Kubeflow Pipelines)

Knowledge of data engineering practices and Infrastructure as Code (pref. Terraform)

Familiarity with
Serverless inference frameworks (e.g kfserve, seldon-core, knative etc.)

Kubernetes and related industry standard tools (e.g argoCD, prometheus cilium/istio etc.)

ML training frameworks (e.g. TensorFlow, PyTorch etc.)

programming skills in Python/Go and a good understanding of data science work and its challenges.

What you can expect

You can expect to join a passionate and knowledgeable SRE-team who likes to keep up-to-date with the latest technologies and most importantly, have fun! You’ll be part of creating ML applications that will play a big part in empowering and enabling content creators to elevate their content with our world-class music and sound effects. If you are passionate about MLOps and are looking for a challenging role in a dynamic and exciting industry, we encourage you to apply!

Equal Opportunity Employer:
We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us.

Application
Do you want to be a part of our fantastic team? Please apply, in English, by clicking the link below.