Machine Learning Engineer for a new music streaming service
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Machine Learning Engineer for a new music streaming service
Machine Learning Engineer for Moodagent
Why you want to work with us:
We are building a personalized music streaming service and are launching globally. We need you and your expertise to join us in improving and expanding the Moodagent services, enabling us to bring better music to even more people. Check out https://moodagent.com/
We have all the things you know and love: Music, Big Data, Microservice APIs, Cloud Computing, Machine Learning, Massively Scalable Systems, and an ever-flowing stream of delightfully intricate challenges of making these things come together as a whole. And great people on top of that!
We are looking for four Machine Learning Engineers to join our machine learning group at our headquarters in central Copenhagen. We are a diverse group of ML engineers, scientists, and architects who all strive to build the best possible streaming service. In our day to day work we are assigned to a cross-functional team, consisting of a mix of musicologists, data scientists, data engineers, designers and software developers. Currently, we are hiring for our four domain teams: playlisting, music recommendations, search, and user & social.
As a Machine Learning Engineer, your main tasks will be to develop and deploy machine learning models within a given domain, whilst working, in close collaboration with our diverse group of machine learning experts, on creating a good infrastructure for machine learning pipelines in production.
Responsibilities:
- Build, evolve, and scale state-of-the-art machine learning models and systems
- Deploy and maintain ML models in production
- Work with other machine learning / deep learning researchers and backend engineers to implement scalable solutions for solving complex problems
We expect that you:
- Are fluent written/oral English
- 3+ years of work experience as a Machine Learning Engineer or from a similar role
- Experience in making machine learning pipelines and systems that handle large scale data
- Knowledge of cloud computing for machine learning purposes
- DevOps mindset and a flair for automation
We imagine you have some of the following qualifications:
- Good understanding of Python (Pandas, Numpy, Scipy, Sklearn, Pyspark, SQL, Hive)
- Experience with Machine Learning technologies: Scikit, Torch, TensorFlow, Spark MLlib etc.
- Experience with the Amazon AWS platform and experience with integrating applications and platforms with AWS (e.g. EC2, EMR, S3, Lambda, EKS, ECS, ECR, Neptune)
- Experience with training online/incremental models on data streams
- Docker - experience in both reusing existing Docker images and dockerizing services from scratch e.g. Dockerizing a Flask API, training an ML model using Keras/Tensorflow, serving an ML model using TensorFlow Serving, ONNX, etc
- Experience with containerized ML pipelines: e.g. Kubeflow, Amazon Sagemaker, MLFlow
- Experience with the development of large scale Recommendation Systems
- Experience with running/deploying data processing flows in a distributed manner using Spark
- Knowledge about data about music
About Moodagent:
Moodagent is a company built by and for music enthusiasts. It is a celebration of music as an important piece of our culture, its impact on our lives, and the sense of community it fosters. At Moodagent, we blend our longstanding AI technology with the best of you, creating the most personalized music streaming experience out there. Moodagent is redefining what it means to make, listen and share music one playlist at a time.
Our team is a close-knit bunch of music-loving software developers, design thinkers, musicologists, data scientists, and machine learning experts who come from all corners of the world. We have people working in big data, microservices, cloud computing, artificial intelligence, scalable infrastructure, and app creation.
We have an informal tone and a shared passion for music.
We offer:
- A position with room for growth
- A diverse team of colleagues from more than 15 different countries
- Friday bars, a summer party & holiday gathering (all covid permitting)
- Social clubs including running, football, FIFA, board games & extreme knitting
- Flexible working hours
- Great office space in central Copenhagen with a view over the canals
- Laptop of your choice
- Endless coffee to keep you jamming
Where:
Moodagent HQ, Havnegade 27, Copenhagen
When:
As soon as possible
The recruitment process:
The recruitment process is easy!
Click the START button to the right, upload your CV and answer the detailed questions so we get to know more about you and your competencies. It usually takes just 10-15 minutes to apply for a job so this means that you do NOT have to produce a time-consuming written application. You will then hear back from us to know if you have made it to the next round.
We look forward to meeting you!
Apply now.
Please follow us on Instagram: https://lnkd.in/eQUmH26
Please follow us on Facebook: https://lnkd.in/eaWEWUK
Please follow us on LinkedIn: https://lnkd.in/e4FRjCp
Please follow us on Twitter - https://lnkd.in/exFnFdW
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i København K.
Jobbet er oprettet på vores service den 14.4.2021, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Data Manager
- København K
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