Staff ML Engineer/ Sr ML Engineer
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 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.