Machine Learning Engineer -- Backend/Data Engineer: Agentic Workflows
Description
We design, build and maintain infrastructure to support agentic workflows for Siri. Our team is in charge of data generation, introspection and evaluation frameworks that are key to efficiently developing foundation models and agentic workflows for Siri applications. In this team you will have the opportunity to work at the intersection of with cutting edge foundation models and products.
Minimum Qualifications
Strong background in computer science: algorithms, data structures and system design Strong python skills 3+ year experience on large scale distributed system design, operation and optimization Experience with SQL/NoSQL database technologies, data warehouse frameworks like BigQuery/Snowflake/RedShift/Iceberg and data pipeline frameworks like GCP Dataflow/Apache Beam/Spark/Kafka Experience with Vector Databases Experience deploying and serving of LLMs Experience processing data for ML applications at scale Excellent interpersonal skills able to work independently as well as cross-functionally
Preferred Qualifications
Experience fine-tuning and evaluating Large Language Models
Average salary estimate
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