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Job Overview
Location
US - Remote
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
May 7, 2026
Full Job Description
đź“‹ Description
- • Research Engineer III at Smarsh, Inc. focuses on building production ML infrastructure for enterprise-scale machine learning pipelines, enabling the company to manage risk and uncover intelligence in digital communications for over 6,500 regulated organizations.
- • Day-to-day responsibilities include designing, developing, and maintaining scalable ML workflows that orchestrate data ingestion, model training, evaluation, and deployment across 80+ communication channels.
- • Smarsh is a rapidly growing, analyst-recognized leader in compliance technology, consistently featured in the Inc. 5000 list since 2008, with a mission to help organizations detect compliance, legal, and reputational risks before they escalate.
- • In this role, you will deepen your expertise in production ML systems, contribute to high-impact infrastructure used at scale, and advance your skills in enterprise-grade machine learning operations within a regulated industry context.
🎯 Requirements
- • Experience building production ML infrastructure for enterprise-scale machine learning pipelines
- • Proficiency in orchestrating end-to-end ML workflows including data ingestion, model training, evaluation, and deployment
- • Strong background in software engineering with focus on scalable, reliable systems
- • Familiarity with ML tools and frameworks used in production environments
- • Ability to work effectively in a remote, collaborative engineering team
- • Experience with systems handling high-volume, multi-channel data processing
🏖️ Benefits
- • Opportunity to work on impactful ML infrastructure used by over 6,500 regulated organizations
- • Remote work flexibility within the United States
- • Exposure to cutting-edge ML systems in a high-growth, Inc. 5000-recognized company
- • Chance to contribute to risk detection and compliance solutions in finance, healthcare, and government sectors
- • Professional growth in enterprise ML operations within a stable, innovative technology firm
- • Collaborative engineering culture focused on relentless innovation and technical excellence
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Smarsh, Inc.
Smarsh provides cloud-based archiving, supervision, and compliance solutions for electronic communications in regulated industries. It captures email, social media, mobile messaging, voice, and collaboration platform data, indexing and storing it for retention, retrieval, and oversight. The platform supports SEC, FINRA, FCA, GDPR, and other global regulations with automated policy enforcement, e-discovery, and analytics. Financial services, government, and healthcare organizations use Smarsh to manage risk, ensure regulatory compliance, and reduce litigation exposure. Founded in 2001, the company is headquartered in Portland, Oregon, with offices in the U.S., U.K., and India.
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