Sift
Machine Learning Engineer
San Francisco, California
Sponsorship not specifiedDetected 1 day ago
PythonJavaScalaDistributed SystemsAlgorithmsNoSQLDatabricksGCPCloud PlatformsDockerCI/CDKafkaMachine LearningDeep LearningSparkData AnalysisData ScienceNLPMLOpsStatisticsCustomer SuccessHadoop
About the role
- As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems.
- You will work on an automated machine learning ecosystem that dynamically recalibrates models based on streaming global telemetry data.
Responsibilities
- Production MLOps: Maintain and enhance our automated model training and deployment infrastructure, ensuring frictionless continuous integration and continuous deployment (CI/CD) of newly trained models.
- System Design Mentality: Ability to reason through data consistency, pipeline failures, and performance constraints in a distributed, multi-tenant cloud environment (GCP).
- At Sift, we are intentionally building a diverse, equitable, and inclusive workplace.
- This document provides transparency around how
Requirements
- Strong proficiency in Java or Scala (for our production backend) as well as Python (for data analysis and model prototyping).
- Practical experience with Databricks and big data processing frameworks like Apache Spark, Apache Flink, or Hadoop, and working with NoSQL data stores like Bigtable.
- Ability to reason through data consistency, pipeline failures, and performance constraints in a distributed, multi-tenant cloud environment (GCP).
- Solid Programming Foundations: Strong proficiency in Java or Scala (for our production backend) as well as Python (for data analysis and model prototyping).
- Distributed Systems & Big Data: Practical experience with Databricks and big data processing frameworks like Apache Spark, Apache Flink, or Hadoop, and working with NoSQL data stores like Bigtable.
Nice to have
- Experience explicitly in the fraud detection, risk mitigation, or cyber-security domains.
- Deep knowledge of streaming architectures (e.g., Apache Kafka).
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Familiarity with leveraging AI coding assistants (e.g., Claude Code) to accelerate development and model prototyping
Compensation
- Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly.
Benefits
- We believe that diversity drives innovation, equity is a fundamental right, and inclusion is a basic human need.
- Strong Mathematical Foundations: Deep understanding of statistical modeling, probability, and standard machine learning algorithms (e.g., XGBoost, Random Forests, Neural Networks, and Clustering techniques).
Company info
- Sift is the AI-powered fraud platform securing digital trust for leading global businesses.
- Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly.
- Global brands rely on Sift to unlock growth and deliver seamless consumer experiences.
- Visit us at sift.com http://sift.com and follow us on LinkedIn https://www.globenewswire.com/Tracker?data=XHeK0v8NcNrEkwcDe8QxwpZeCkdQqNyKlni83U-CUmrprdKXWpVlYOAbVzwe2OmlwIUN-q4HXk4hf_dazpHx2NMM1CW_SYj740q9mxXNQI4=.
This listing is sourced directly from Sift's careers page and normalized into a canonical job model.