As we’re continuing our journey towards becoming the best bite-sized audio platform in the world, we need more manpower within the Artificial Intelligence team. Our senior data scientists are producing high value algorithms which need to be put in production early in the development process in order to ensure fast product iterations and best quality results.
We are looking for an experienced machine learning engineer to support the AI team with developing and putting their data products into production. More generally the machine learning engineer will help enforcing best practices, implement innovative solution architectures and build a lean data organization.
Your role will be bridging the AI team with both the data engineering team and the tech team. This implies the ability to both understand the requirements coming from machine learning based products and the current technical architecture of our products in order to ensure seamless and efficient integration.
You will help the teams bring ideas from conception to release while advocating for clean and understandable solutions along the whole journey. You are an effective diplomat with strong communication and organizational skills. You are patient, understanding, ego-free, and eager to give and receive constructive feedback.
Expected start date: Soon! - but we’re flexible.
Develop machine learning based products with strong focus on NLP, information retrieval, recommender systems, reinforcement learning and causal inference
Managing a dedicated Kubernetes cluster
Implement CI/DC pipelines for data products
Define and implement complex data processing pipelines
Building micro-services for connecting internal and external services
Help integrate algorithm-generated data into our Elastic Search search engine
Implement data tracking to train new ML models
Expert knowledge in the AI field particularly in the aforementioned fields
Solid hands on experience with Kubernetes is a must
Knowledge of search principles and technologies. Knowledge of vector search
Good experience with Google Cloud Platform products incl. BigQuery, Kubernetes, Composer (Airflow), PubSub, etc.
Fluency in languages such as Python, Rust and C#
Advanced Level in SQL
Experience in working within an agile, intensely iterative requirements and development process
Effective communication skills, with ability to communicate clearly with both technical and non-technical resources and peers.
Self-motivated and self-managing
Comfortable with a dynamic and fast-paced start-up environment
Experience in creating a performant infrastructure for data collection, storage, processing and exposure, preferably with Google Cloud
Solid experience with designing scalable and reliable data processes including handling with data pipelines and ETL processes
Podimo is the definitive platform for exclusive local podcasts. Our smartphone app puts a world of podcasts at any listener’s fingertips, and our revenue share model means that podcasters are rewarded for making content that people love to hear. We are simultaneously a production house and tech platform, as well as an ecosystem for podcasters wanting to make a living doing what they do best – creating podcasts.
You’ll be able to get professional sparring with brilliant colleagues with backgrounds in Netflix, Spotify, Google, Hulu etc. as well as become a part of an entrepreneurial start-up with high ambitions and a steep growth curve.
We have a delicious canteen scheme, snacks to die for, as well as awesome Friday bars and a beautiful modern office with a prime location in the city. We even have our own Podcast studio!
For more information or questions please contact us at email@example.com or phone number 51913590
Read more below and/or enquire about a specific opening on firstname.lastname@example.org.