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Senior Machine Learning Engineer
Machine Learning Platform
Posted on 9/9/2022
INACTIVE
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Apache Spark
Apache Kafka
Data Analysis
Docker
Google Cloud Platform
Hadoop
C/C++/C#
Java
Pandas
Scala
Kubernetes
Python
Requirements
  • You have development experience with an object-oriented programming language such as C++,Java, Python and/or functional programming languages
  • You have experience with batch and streaming data processing frameworks like Google Cloud Dataflow, Hadoop, Spark, Flink, Scalding, Google Cloud PubSub, Kafka, etc
  • You have previously built APIs and libraries for Java, Scala or Python
  • You care about agile software processes, data-driven development, reliability, and responsible experimentation
  • You have experience building large scale distributed systems
  • Skilled communicator and have a proven track record of spearheading work across subject areas
  • You have built features to feed ML models with tools like pandas, FeatureTools, TSFresh
  • You've deployed models to production using tools like Docker, Kubernetes, etc
  • Ideally, you've built reusable tooling to simplify managing features or interacted with platform teams to productionize ML models
Responsibilities
  • Create systems for real-time processing and serving of millions of data points per second
  • Design such infrastructure under the constraints that come with scale in regards to correctness, usability, interpretability, experimentation and maintainability
  • Become an authority on using existing state-of-the-art tooling into the Spotify ecosystem (Google Cloud DataFlow, Cloud Bigtable, Cloud PubSub)
  • Collaborate with cross functional agile teams of software engineers, data engineers, ML experts, and others in building new product features
  • Contribute to new and existing Spotify open source machine learning and data processing products
  • Gain a deep understanding of the complete machine learning workflow
  • Figure out feasibility of projects through quick prototyping with respect to performance, quality, time and cost using Agile methodologies
Spotify

5,001-10,000 employees

Leading music and podcast streaming platform
Company Overview
Spotify's mission is to unlock the potential of human creativity — by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it. Today, Spotify is the world’s most popular audio streaming subscription service with 406m users, including 180m subscribers, across 184 markets.
Benefits
  • Extensive learning opportunities, through our dedicated team, GreenHouse
  • Global parental leave, six months off - fully paid - for all new parents
  • Flexible public holidays, swap days off according to your values and beliefs
  • Flexible share incentives letting you choose how you share in our success
  • All The Feels, our employee assistance program and self-care hub
  • Spotify On Tour, join your colleagues on trips to industry festivals and events
Company Core Values
  • Innovative: We move fast and take big risks
  • Sincere: We have no time for internal politics
  • Passionate: We revel in what we do
  • Collaborative: We recognize that we're all in this together
  • Playful: We don't take ourselves too seriously