About the role:

We are looking for a Software Engineer to help us define and build the next generation of ML infrastructure at Tinder. Our mission is to enable every team at Tinder to iterate quickly on hypotheses and scale their experiments to data sets with hundreds of billions of data points. In this role you will work closely with many of the ML teams at Tinder.

What you’ll do

• Build infrastructure that best supports the needs of a broad community of machine learning engineers, active across all Tinder business units
• Design such infrastructure under the constraints that come with scale in regards to correctness, usability, interpretability, experimentation and maintainability
• Become an expert on leveraging existing state-of-the-art tooling into the Tinder ecosystem (TensorFlow, MLFlow, Kubeflow, Seldon, Airflow, and more)
• Collaborate with cross functional agile teams of software engineers, data engineers, ML experts, and others in building new product features
• Leverage your experience to drive best practices in ML and data engineering
• Gain a working knowledge of various models used by our stakeholders on both structured and unstructured content (text, video, images, behavioral data etc)
• Determine the feasibility of projects through quick prototyping with respect to performance, quality, time and cost using Agile methodologies

Who you are

• You have development experience with some programming language such as Java/Scala/Python/C++
• 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 preferably have experience with big data processing and storage frameworks like Hadoop, Scalding, Spark, Flink, Storm, Cassandra or Kafka
• You preferably have previous industry experience with ML systems using frameworks such as Scikit-learn and Tensorflow
• You understand basic concepts of ML such as regression, classification, clustering, training, testing, validation, measurement
• You preferably have open source contributions to share with us
• You are a skilled communicator, a team player and have a proven record of leading work across disciplines
• You preferably routinely survey industry developments in software engineering
• You preferably routinely survey research publications in the machine learning and software communities

We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators.

As part of our team, you’ll enjoy:

• The hustle of a startup with the impact of a global business
• Tremendous opportunity to solve some of the industry’s most exciting problems
• Working with an extraordinary team of smart, creative, fun and highly motivated people
• Comprehensive health coverage, competitive salary, 401(k) match and meaningful equity
• Unlimited vacation and flexible working hours
• Daily catered lunches, endless supply of refreshments, fitness classes and social events
• Modern, uplifting work environment in an ideal location