Staff ML Engineer/ Sr ML Engineer

Confirmed live in the last 24 hours

SentinelOne

India

Hybrid

Posted March 25, 2026

Job Description

Our Purpose

At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

As a Staff Machine Learning Engineer you will collaborate with cross-functional teams to define requirements and deliver high-impact cloud platform solutions. Own the full feature lifecycle, building secure, scalable backend systems with strong performance and reliability. Review code and resolve complex issues to ensure consistent, high-quality operations.

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