In this role, you will:
- 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.
- Mentor junior team members.
- 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.
You’ll need:
- 5+ years of experience with developing platforms related to machine learning training, serving, feature management, experimentation, etc.
- Bachelor’s degree in Computer Science, Engineering, Technology, or a related field.
- 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.
- Proven ability to lead cross-functional initiatives, communicate effectively, and collaborate in team-oriented environments.
- 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.
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