Senior Machine Learning Engineer (remote)

Sailpoint Technologies Inc

United States, United States
Base: $119,400 - $201,190.00; bonus/equity: may be...
Remote
Design and implement ml models
Python and ml frameworks
Data modeling and feature engineering
SailPoint Technologies Inc. is seeking a Senior Machine Learning Engineer to join their AI team, focused on developing AI-powered identity security solutions. The role involves leading complex machine learning initiatives and requires strong technical expertise in ML, programming, and software engineering practices

Job Summary

  • As a Sr. Machine Learning Engineer, you will play a critical role in shaping, building, and scaling SailPoint’s AI-powered capabilities.
  • You will lead complex, end-to-end ML initiatives—from model design and experimentation to deployment, monitoring, and continuous improvement.
  • The AI team at SailPoint applies AI and domain expertise to create AI solutions that solve real problems in identity security.

Matching Summary

Match Score: 85

SailPoint Technologies Inc. is seeking a Senior Machine Learning Engineer to join their AI team, focused on developing AI-powered identity security solutions. The role involves leading complex machine learning initiatives and requires strong technical expertise in ML, programming, and software engineering practices.

Salary

Base: $119,400 - $201,190.00; Bonus/Equity: May be eligible for Corporate Bonus Plan or equity participation; Benefits: Health and wellness coverage, 401(k) with company matching, flexible vacation policy, paid parental leave, and more.

Skills & Requirements

Must-have

  • design and implement ML models
  • Python and ML frameworks
  • data modeling and feature engineering
  • software engineering best practices
  • MLOps practices

Nice-to-have

  • cybersecurity or identity experience
  • NLP, Behavioral Modeling, or Graph ML expertise
  • cloud-native ML deployment

Key Requirements

  • 5+ years of professional experience in ML
  • experience with anomaly detection, semantic search, embeddings, or similarity measurement
  • strong programming skills in Python
  • proficiency with ML frameworks (PyTorch, TensorFlow, scikit-learn)
  • solid understanding of data modeling, feature engineering, and statistical analysis
  • excellent communication skills
  • strong foundation in software engineering best practices
  • good knowledge of MLOps practices

Work Rights

Not specified

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