Software Engineering PMTS - ML Engineer
Salesforce21 hours ago
Remote, PolandStaff+
Responsibilities
- Design and implement robust upstream event telemetry ingestion pipelines for high-fidelity source-system data capture.
- Build and maintain Flink and Spark Streaming applications for real-time feature aggregations.
- Integrate demographic, firmographic, and other third-party datasets into unified streaming feature definitions.
- Resolve critical engineering bottlenecks related to event ingestion into the Zipline feature platform.
- Define and deploy live feature contracts and monitoring systems for online feature freshness and correctness.
- Collaborate with ML engineers to align telemetry schemas with real-time inference model requirements.
Requirements
- 15+ years of data engineering experience specializing in high-throughput stream processing and real-time analytics.
- Deep expertise in Apache Flink, Apache Spark Streaming, and event brokers such as Apache Kafka and AWS Kinesis.
- Strong proficiency in Python, Java, or Scala.
- Experience with real-time feature stores including Zipline and Feast, plus stateful stream computation.
- Familiarity with AWS infrastructure and streaming data architectures.
- Experience designing resilient, low-latency systems with exact-once or at-least-once delivery guarantees.
Benefits
- Salesforce provides benefits and resources intended to support balance and personal well-being.
- Salesforce offers reasonable accommodations during the application and recruiting process upon request.
Tech Stack
Categories
Data EngineeringML Engineering
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.