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SentinelOne

Staff ML Engineer

Sorry, this job was removed at 12:14 p.m. (IST) on Tuesday, Dec 16, 2025
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India
India

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About Us

At SentinelOne, 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?

SentinelOne 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?
  • Work directly with customers to architect machine learning solutions and lead the roadmap for scalable machine learning solutions
  • Drive the development and maintenance of domain specific machine learning models that directly optimize or enrich logs for our customers
  • Architect and implement real-time analytics and anomaly detection systems using advanced machine learning techniques and large language models
  • Architect and implement state-of-the-art agentic solutions using foundational models at scale
  • Lead cross-functional technical initiatives, by collaborating with Product, Engineering, and DevOps teams to translate strategic vision into technical solutions
  • Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
  • Provide technical leadership and mentorship to senior and junior engineers, establishing engineering best practices and culture
  • Evaluate and introduce emerging technologies in AI/ML, data engineering, and observability to maintain competitive advantage
  • Participate in technical decision-making forums and contribute to company-wide engineering standards and practices
What Skills and Knowledge Should You Bring?
  • 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
  • Expert-level proficiency in Python with deep understanding of model development stack like PyTorch and Tensorflow with a focus on inference optimization.
  • Proven track record leading and scaling real-world machine learning solutions in NLP domain
  • Advanced experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps practices for production ML systems at scale
  • Strong leadership and technical communication skills with experience driving technical decisions across multiple teams and stakeholders
  • Track record of mentoring engineers and establishing technical standards and best practices in complex engineering organizations
  • Experience with technical strategy and roadmap planning for large-scale machine learning solutions
  • Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred
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
  • You'll work on technology that directly impacts how enterprises understand and optimize their data infrastructure, solving problems at unprecedented scale
  • 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
  • You'll collaborate with world-class engineers, data scientists, and product leaders in a fast-paced, innovation-driven environment across global teams
  • You'll have access to cutting-edge AI/ML tools and platforms, with opportunity to shape the future of intelligent data processing
  • You'll contribute to building SentinelOne's engineering excellence in one of the world's most dynamic technology markets
  • Competitive salary and equity package aligned with senior-level roles in the Indian market
  • Comprehensive health insurance for you and your family
  • Flexible work arrangements with hybrid office model (2 days in office)
  • Professional development opportunities including training, conferences, and skill development programs
  • Annual performance bonus and stock option participation
  • Paid time off and public holidays
  • Team building and company events including regular team activities and celebrations
  • Modern office facilities in Bengaluru with state-of-the-art technology and amenities
  • Career growth opportunities within a rapidly expanding global technology company

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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Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.

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