Urgent! Senior Machine Learning Engineer Job Opening In USA, USA – Now Hiring SailPoint
SailPoint is the leader in identity security for the cloud enterprise.
Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce and ensuring that workers have the right access to do their job—no more and no less.
Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise.
About the team:
The AI Group at SailPoint is seeking a Senior Machine Learning Engineer to help shape the future of AI-driven identity governance.
In this role, you will contribute to the design and development of SailPoint’s AI Platform and leverage it to deliver innovative machine learning and generative AI solutions that power our core products.
If you are passionate about creating scalable, impactful AI/ML systems and enjoy working at the intersection of cutting-edge research and product development, we would love to connect with you.
This position is Remote or Hybrid (Austin, TX).
Responsibilities
Design, build, and maintain a production-grade machine learning platform
Develop and deploy ML models using the platform
Extend platform capabilities to support Generative AI workloads
Establish repeatable patterns that ensure reliable model deployments
Collaborate with ML Engineers, Software Engineers, and Data Scientists to deliver production-ready AI features
Ensure models are deployed, monitored, and tracked with clear, actionable dashboards.
Deliver efficient, maintainable, and robust microservices to support AI features.
Partner with application teams to build secure, scalable, and SLA-compliant solutions
Build batch and streaming data pipelines to populate the feature store.
Must be willing to be part of an on-call rotation.
Requirements
Minimum of 5+ years of experience working as a Machine Learning Engineer or Data Scientist.
Experience deploying ML models into production.
A self-starter who can engage on ambiguous assignments and provide thought leadership.
Strong verbal and written communication skills, with the ability to translate complex concepts into easy-to-understand language for product and business stakeholders.
Understanding of common ML algorithms and techniques (e.g., clustering, classification, regression).
Strong command of MLOps best practices and existing frameworks.
Experience with feature stores such as Feast.
Experience implementing RESTful APIs for an API-first application architecture.
Experience building microservices and knowledge of common microservice design patterns.
Experience with Docker or other container technologies.
(Preferred) Experience with AWS, Amazon SageMaker, and Amazon Bedrock.
(Preferred) Experience building services using GenAI technology.
(Preferred) Experience with Amazon Bedrock or other services for building GenAI applications.
Roadmap To Success
First 90 Days
Get onboarded to SailPoint’s AI platform architecture and tools
Contribute to the codebase: small PRs on microservices or model pipelines.
Deploy a simple ML model or change to an existing model through the platform.
Define model monitoring and observability standards for a new model.
Shadow and eventually join the on-call rotation.
6 Months
Work on deployment of an end-to-end ML use case into production.
Deliver efficient, maintainable, and robust code.
Fully participate in on-call rotation and drive process improvements.
Identify and implement improvements to the broader AI Platform.
1 Year
Collaborate with multiple teams to ship high-impact ML/GenAI features.
Help shape SailPoint’s broader AI Platform strategy to drive measurable improvements in velocity and quality of model delivery.
Contribute to evaluation and adoption of new tooling to enhance our platform.
Mentor junior engineers and AI Platform users.
Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.
As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation.
SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD):
Base salaries for employees based in other locations are competitive for the employee’s home location.
Benefits Overview
1.
Health and wellness coverage: Medical, dental, and vision insurance
2.
Disability coverage: Short-term and long-term disability
3.
Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)
4.
Additional life coverage options: Supplemental life insurance for employees, spouses, and children
5.
Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
6.
Financial security: 401(k) Savings and Investment Plan with company matching
7.
Time off benefits: Flexible vacation policy
8.
Holidays: 8 paid holidays annually
9.
Sick leave
10.
Parental support: Paid parental leave
11.
Employee Assistance Program (EAP) and Care Counselors
12.
Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
13.
Health Savings Account (HSA) with employer contribution
SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.
Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability.
Contact or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations.
NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Senior Machine Potential: Insight & Career Growth Guide
Real-time Senior Machine Jobs Trends in United States, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Machine in United States, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 191581 jobs in United States and 2487 jobs in United States. This comprehensive analysis highlights market share and opportunities for professionals in Senior Machine roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! SailPoint is currently hiring and seeking a Senior Machine Learning Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Machine Learning Engineer Jobs United States.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at SailPoint adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Machine Learning Engineer Jobs United States varies, but the pay scale is rated "Standard" in United States. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Machine Learning Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Senior Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior Machine Learning Engineer interview at SailPoint, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the SailPoint's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Senior Machine Learning Engineer is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!