Tinder is looking for a Sr. Software Engineer to help shape and develop the future of Tinder’s Machine Learning infrastructure. The goal is to empower teams across Tinder to rapidly test hypotheses and scale their experiments on massive datasets, reaching hundreds of billion data points.
Requirements
- 5+ years of experience with developing platforms related to machine learning training, serving, feature management, experimentation, etc.
- Strong understanding of data-driven development, reliability principles, and responsible experimentation practices.
- Extensive experience with big data processing and storage frameworks such as Hadoop, Spark, Flink, Cassandra, or Kafka.
- Solid foundation in machine learning concepts like regression, classification, clustering, training, testing, validation, and performance measurement.
- A strong background in distributed systems, cloud computing, and MLOps, with hands-on experience in working with transformers and other deep learning architectures.
- Bridge the gap between cutting-edge research and production-ready AI systems.
Responsibilities
- Build robust and scalable infrastructure to support the diverse needs of machine learning engineers across all Tinder business units.
- Set future technical directions for Tinder’s ML infrastructure.
- Leverage your experience to drive best practices in ML and data engineering.
- Collaborate with cross functional agile teams of software engineers, data engineers, ML experts, and others in building new product features.
- Develop and maintain robust infrastructure for large language models (LLMs).
- Develop strategies for model evaluation and quality assurance.
Other
- Mentor junior team members.
- Proven ability to lead cross-functional initiatives, communicate effectively, and collaborate in team-oriented environments.
- This is a hybrid role and requires in-office collaboration three days per week.
- This position is located in Palo Alto, CA
