Staff ML Engineer/ Sr ML Engineer - 3 to 8 yrs exp

<div class="content-intro"><h3>About Us</h3> <p>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.</p> <p>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.</p></div><h3><strong>What Are We Looking For?</strong></h3> <p>SentinelOne is seeking a <strong>Staff Software Engineer, Machine Learning</strong> 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.</p> <h3><strong>What Will You Do?</strong></h3> <ul> <li>Work directly with customers to architect machine learning solutions and lead the roadmap for scalable machine learning solutions</li> <li>Drive the development and maintenance of domain specific machine learning models that directly optimize or enrich logs for our customers</li> <li>Architect and implement real-time analytics and anomaly detection systems using advanced machine learning techniques and large language models</li> <li>Architect and implement state-of-the-art agentic solutions using foundational models at scale</li> <li>Lead cross-functional technical initiatives, by collaborating with Product, Engineering, and DevOps teams to translate strategic vision into technical solutions</li> <li>Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.</li> <li>Provide technical leadership and mentorship to senior and junior engineers, establishing engineering best practices and culture</li> <li>Evaluate and introduce emerging technologies in AI/ML, data engineering, and observability to maintain competitive advantage</li> <li>Participate in technical decision-making forums and contribute to company-wide engineering standards and practices</li> </ul> <h3><strong>What Skills and Knowledge Should You Bring?</strong></h3> <ul> <li><strong>8+ years of software engineering experience</strong> with focus on state-of-the-art supervised and semi-supervised models that scale to high growth SaaS environments</li> <li><strong>Expert-level proficiency</strong> in Python with deep understanding of model development stack like PyTorch and Tensorflow with a focus on inference optimization.</li> <li><strong>Proven track record</strong> leading and scaling real-world machine learning solutions in NLP domain</li> <li><strong>Advanced experience</strong> with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps practices for production ML systems at scale</li> <li><strong>Strong leadership and technical communication skills</strong> with experience driving technical decisions across multiple teams and stakeholders</li> <li><strong>Track record of mentoring engineers</strong> and establishing technical standards and best practices in complex engineering organizations</li> <li><strong>Experience with technical strategy and roadmap planning</strong> for large-scale machine learning solutions</li> <li><strong>Bachelor's degree in Computer Science, Engineering, or related field</strong>; advanced degree preferred</li> </ul> <h3><st ... (truncated, view full listing at source)