Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates must have over 7 years of experience building ML systems, with a focus on 0-to-1 system development and creating new capabilities from scratch. Experience with recommendation systems is a plus. Proven ability to deliver at scale, fluency in Python and popular ML frameworks, and experience with data and deployment technologies such as Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, and PySpark are required. Experience building machine/deep learning models with frameworks like PyTorch, Tensorflow, or Keras, and experience with public cloud environments like AWS, GCP, or Databricks are also necessary. Expertise in building and maintaining LLM workflows and a track record of crafting recommendation systems are highly desirable.
Architect scalable recommendation systems to serve millions of users, balancing performance and innovation. Leverage the latest LLMs to process vast conversation data and enhance user connections. Prototype, iterate, and ship production-ready ML solutions to solve real user problems. Collaborate cross-functionally with engineering, data science, and product teams to bring ideas to fruition. Drive the exploration of emerging AI tools and techniques to maintain Grindr's technological edge.
Social networking app for LGBTQ individuals
Grindr connects gay, bi, trans, and queer individuals through a social networking app that uses location-based technology. Launched in 2009, it serves millions of users worldwide, providing a platform for social interaction, dating, and networking specifically for the LGBTQ community. Unlike other dating apps, Grindr focuses solely on this demographic, creating a safe and inclusive environment. The app generates revenue through advertisements, premium subscriptions like Grindr Unlimited, and in-app purchases, allowing users to enhance their experience. Beyond dating, Grindr engages with social issues and offers resources related to sexual health and safety, aiming to expand its influence within the community.