招聘
About Us
At Sentinel One, we’re redefining cybersecurity by pushing the limits of what’s possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow’s threats.
From building industry-leading products to cultivating an exceptional company culture, our core values guide everything we do. We’re looking for passionate individuals who thrive in collaborative environments and are eager to drive impact. If you’re excited about solving complex challenges in bold, innovative ways, we’d love to connect with you.
What Are We Looking For?
Sentinel One is seeking a Staff Software Engineer, Machine Learning to join the Observo.ai team in India, our cutting-edge AI-driven data pipeline optimization platform. This role will be responsible for designing, developing, and scaling high-performance systems that process massive volumes of telemetry data while reducing costs and improving insights for enterprise customers. The ideal candidate brings deep experience in building agentic, GenAI and classical machine learning products, including search, recommendation systems, tuning and applying domain-specific LLMs that work at scale. You’ll have the opportunity to work with our brilliant cross-functional partners in Engineering, Product, Sales and Marketing.
What Will You Do?
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Work directly with customers to architect machine learning solutions and lead the roadmap for scalable machine learning solutions
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Drive the development and maintenance of domain specific machine learning models that directly optimize or enrich logs for our customers
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Architect and implement real-time analytics and anomaly detection systems using advanced machine learning techniques and large language models
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Architect and implement state-of-the-art agentic solutions using foundational models at scale
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Lead cross-functional technical initiatives, by collaborating with Product, Engineering, and DevOps teams to translate strategic vision into technical solutions
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Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
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Provide technical leadership and mentorship to senior and junior engineers, establishing engineering best practices and culture
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Evaluate and introduce emerging technologies in AI/ML, data engineering, and observability to maintain competitive advantage
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Participate in technical decision-making forums and contribute to company-wide engineering standards and practices
What Skills and Knowledge Should You Bring?
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8+ years of software engineering experience with focus on state-of-the-art supervised and semi-supervised models that scale to high growth SaaS environments
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Expert-level proficiency in Python with deep understanding of model development stack like Py Torch and Tensorflow with a focus on inference optimization.
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Proven track record leading and scaling real-world machine learning solutions in NLP domain
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Advanced experience with machine learning frameworks (Tensor Flow, Py Torch, scikit-learn) and MLOps practices for production ML systems at scale
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Strong leadership and technical communication skills with experience driving technical decisions across multiple teams and stakeholders
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Track record of mentoring engineers and establishing technical standards and best practices in complex engineering organizations
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Experience with technical strategy and roadmap planning for large-scale machine learning solutions
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Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred
Why Us?
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You will be joining a cutting-edge company, where you will tackle extraordinary challenges and work with the very best in the industry
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You'll work on technology that directly impacts how enterprises understand and optimize their data infrastructure, solving problems at unprecedented scale
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You'll be part of the Observo.ai team that's revolutionizing how organizations handle observability data, with direct impact on customer cost savings and operational efficiency
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You'll collaborate with world-class engineers, data scientists, and product leaders in a fast-paced, innovation-driven environment across global teams
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You'll have access to cutting-edge AI/ML tools and platforms, with opportunity to shape the future of intelligent data processing
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You'll contribute to building Sentinel One's engineering excellence in one of the world's most dynamic technology markets
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Competitive salary and equity package aligned with senior-level roles in the Indian market
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Comprehensive health insurance for you and your family
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Flexible work arrangements with hybrid office model (2 days in office)
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Professional development opportunities including training, conferences, and skill development programs
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Annual performance bonus and stock option participation
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Paid time off and public holidays
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Team building and company events including regular team activities and celebrations
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Modern office facilities in Bengaluru with state-of-the-art technology and amenities
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Career growth opportunities within a rapidly expanding global technology company
Sentinel One 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.
Sentinel One participates in the E-Verify Program for all U.S. based roles.
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About SentinelOne

SentinelOne
PublicCybersecurity company.
1001-5000
Employees
Mountain View
Headquarters
$1.1B
Valuation
Reviews
3.9
15 reviews
Work Life Balance
3.8
Compensation
3.2
Culture
3.5
Career
3.4
Management
3.6
65%
Recommend to a Friend
Pros
Remote-first company with flexible work arrangements
Competitive compensation packages and equity upside
Strong stock performance and IPO success
Cons
Recent layoffs affecting company morale
Stock price stagnation despite cost-cutting measures
Compensation offers sometimes below market standards
Salary Ranges
67 data points
Junior/L3
L3
L6
Director
Junior/L3 · Data Scientist
0 reports
$203,302
total / year
Base
-
Stock
-
Bonus
-
$172,806
$233,798
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
80%
Experience
Positive 20%
Neutral 60%
Negative 20%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Onsite/Virtual Interviews
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
News & Buzz
SentinelOne Deepens AI Security Push With Mesh Funding And Prompt Deal - simplywall.st
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Salesforce and SentinelOne Executives Increase Stock Purchases - Intellectia AI
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The AI Stocks That Insiders Are Loading Up on for 2026 - The Globe and Mail
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SentinelOne’s AI Security Push And CFO Shift Reshape Investor Debate - simplywall.st
Source: simplywall.st
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5w ago