Machine Learning Engineer

Sift Science, Inc.

Job Overview

Location

San Francisco, California

Job Type

Full-time

Full Job Description

📋 Description

• As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems.
• 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.
• You will design, build, and deploy online machine learning models (including ensemble methods, deep learning, transformer architectures and graph-based models) to catch evolving fraud vectors in real time.
• You will engineer high-frequency time-series features from over 1 trillion behavioral events, optimizing for low-latency signal extraction and pattern recognition.
• You will maintain and enhance our automated model training and deployment infrastructure, ensuring frictionless continuous integration and continuous deployment (CI/CD) of newly trained models.
• You will write high-performance code to minimize scoring latency at runtime, ensuring our core ML services scale seamlessly across distributed databases.
• You will work cross-functionally with Core Infrastructure, Product Management, and Data Science teams to translate business-level fraud patterns into robust algorithmic solutions.

🎯 Requirements

• 4+ years of professional experience building and deploying large-scale machine learning models into high-traffic production environments.
• 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.

🏖️ Benefits

• Competitive salary and benefits package.
• Opportunity to work with a diverse, equitable, and inclusive team.
• Access to cutting-edge technology and tools.
• Professional development opportunities.

Skills & Technologies

Python

Java

Scala

GCP

Docker

Onsite

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Sift Science, Inc.

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About Sift Science, Inc.

Sift is a digital trust and safety platform that helps businesses prevent online fraud and abuse. It uses machine learning to analyze user behavior, device information, and other signals in real-time, allowing companies to make smarter decisions about who to trust. Sift's platform provides tools for fraud detection, account takeover prevention, content moderation, and payment protection. By unifying data across various touchpoints, Sift enables businesses to build secure and seamless customer experiences while reducing operational costs associated with manual review and chargebacks. Their solutions cater to a wide range of industries, including e-commerce, finance, travel, and gaming.

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