[Hiring] Staff Machine Learning Engineer @Sailpoint Technologies

Sailpoint Technologies; United States; Remote; USD 141,000 - 263,000; Full time

Job summary

A leading technology company is searching for a Staff Machine Learning Engineer to enhance its AI Platform team. This role focuses on deploying and monitoring ML solutions, building robust tools, and supporting scalable development practices. Ideal candidates have solid experience in production-grade ML systems, particularly in cloud environments like AWS.

Benefits

Health and wellness coverage

Disability coverage

Life insurance

401(k) Savings and Investment Plan

Flexible vacation policy

Paid parental leave

Employee Assistance Program (EAP)

Health Savings Account (HSA)

Qualifications

• 5 to 8 years of experience in ML.
• Strong understanding of the ML lifecycle.
• Ability to convey complex concepts to various audiences.

Responsibilities

• Enable scalable model development and deployment.
• Support traditional ML and GenAI use cases.
• Provide tools and best practices for data science.

Skills

Communication

Problem Solving

Data Engineering

ML Algorithms

Tools

AWS

Python

Go

Java

Snowflake

Kafka

Airflow

Jenkins

Prometheus

Grafana

Job description

Jun 22, 2025 - Sailpoint Technologies is hiring a remote Staff Machine Learning Engineer. Salary: $141,300 - $201,800 - $262,300. Location: USA.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

We are looking for a Staff Machine Learning Engineer to join the AI Platform team at SailPoint. The team builds and operates the core infrastructure that we use to deploy and monitor our ML solutions across our products.

• Enable scalable model development, deployment, monitoring, and governance
• Support both traditional ML and cutting-edge GenAI use cases
• Bridge data science and engineering, providing robust tools, services, and best practices

Qualifications

• 5 to 8 years of experience
• Demonstrated experience building and managing production-grade ML systems on cloud platforms (preferably AWS)
• Strong understanding of the ML lifecycle, including development, data/feature engineering, versioning, monitoring, and debugging in production environments
• Excellent communication skills, with the ability to clearly convey complex technical concepts to both technical and non-technical audiences
• Working knowledge of common ML algorithms and technologies
• A bias for action and ability to navigate ambiguity

Requirements

• Core Programming Languages: Python, Go, Java
• Cloud Platform: AWS (SageMaker, Bedrock) preferred
• GenAI Frameworks/Tools: Any
• Data: Snowflake, Kafka, Airflow
• CI/CD frameworks such as Jenkins or Cloudbees
• Observability frameworks such as Prometheus / Grafana

Benefits

• Health and wellness coverage: Medical, dental, and vision insurance
• Disability coverage: Short-term and long-term disability
• Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)
• Additional life coverage options: Supplemental life insurance for employees, spouses, and children
• Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
• Financial security: 401(k) Savings and Investment Plan with company matching
• Time off benefits: Flexible vacation policy
• Holidays: 8 paid holidays annually
• Sick leave
• Parental support: Paid parental leave
• Employee Assistance Program (EAP) and Care Counselors
• Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
• Health Savings Account (HSA) with employer contribution