Machine Learning Engineer
Sift · San Francisco, California · All 6 Sift jobs
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Half of recent machine learning engineer adverts in San Francisco state $201,796 to $280,375 a year. The middle is $238,000.
Required skills
- Machine Learning
- Java
- Scala
- Python
- Data Analysis
Nice to have
- Data Science
- Deep Learning
- CI/CD
- Product Management
- Databricks
- Spark
- Hadoop
- GCP
- Kafka
- Docker
- Kubernetes
- Recruitment
About the job
THE ROLE: As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won’t just train models in isolation; you will build end-to-end pipelines that extract signals, train custom models per merchant, and serve predictions at production scale with low latency. You will work on an automated machine learning ecosystem that dynamically recalibrates models based on streaming global telemetry data.
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Source: Sift's careers site
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