Senior Machine Learning Engineer
SentinelOneAbout the role
About Us:
SentinelOne is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real-time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack, at every stage of the threat lifecycle.
We are a values-driven team where names are known, results are rewarded, and friendships are formed. Trust, accountability, relentlessness, ingenuity, and OneSentinel define the pillars of our collaborative and unified global culture. We're looking for people that will drive team success and collaboration across SentinelOne. If you’re enthusiastic about innovative approaches to problem-solving, we would love to speak with you about joining our team!
What are we looking for?
We are continuously expanding the capabilities of SentinelOne, actively listening to customers and responding to their needs. We are looking for a Machine Learning Engineer - Data Scientist who will be directly involved in our core technology and ensure we are always staying ahead of cybercriminals.
What will you do?
At SentinelOne you will be a part of a team of globally distributed system and kernel developers who work deeply within the 3 main OS’s of the world: Windows, Linux, MacOS. The team is responsible for the core technologies at the endpoints that enable our XDR platform.
As a data science and ML specialist on the team, you will ideate and create features that will help our engineering teams as well as support our customers by providing better visibility into the health of the endpoints in the field. You will collaborate across multiple engineering teams to design and build new automation that will further accelerate the growth of SentinelOne’s industry-leading XDR platform.
What do you need?
- Bachelor’s or Master’s Degree in Computer Science or Machine Learning preferred. Additional or directly relevant experience will be considered in lieu of a degree.
- 5+ years of experience solving real world problems using ML.
- Experience in creating and training models.
- Familiarity with various aspects of ML system design & management.
- Familiarity with data engineering to design & monitor data pipelines that feed into ML model training and inferencing workflows.
- Experience with data visualization tools.
- Ability to gather insights from large complex datasets.
Advantages:
- Prior experience leading the development and management of metrics, KPIs, and dashboards as needed.
- Software engineering and experience with data structures.
- Experience with Endpoint security or OS concepts.
- Experience with large-scale event processing systems.
Why us?
You will be joining a cutting-edge company, where you will tackle extraordinary challenges and work with the very best in the industry.
- Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
- Unlimited PTO
- Industry leading gender-neutral parental leave
- Paid Company Holidays
- Paid Sick Time
- Employee stock purchase program
- Disability and life insurance
- Employee assistance program
- Gym membership reimbursement
- Cell phone reimbursement
- Numerous company-sponsored events including regular happy hours and team building events
locations, a different pay range may apply. If so, this range will be provided to you during the recruiting
process. You can also reach out to the recruiter with any questions.
Base Salary Range$145,000—$199,000 USD
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
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