Machine Learning Engineer - AI

is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every r should be respected. With23,000 customers worldwide and growing, you can make an impact by protecting their valuable data. When joining , you’re not just landing a new career, you become part of a team of rswhodoers, thinkers, and collaborators are who embrace and live by our values:

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is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, has democratized cloud content security for more than 23,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit.

• Fine-tune and train SLMs using Hugging Face, TRL, and adapter methods (LoRA,QLoRA, PEFT)
• Optimize models for inference via quantization, pruning, and knowledge distillation
• Deploy models to edge devices, mobile, and local servers with strict latency targets
• Build end-to-endMLOpspipelines from data ingestion to deployment
• Monitor model accuracy, latency, and hardware utilization in production
• Evaluate model quality using benchmarking frameworks and custom evaluation suites

• SLM Development & Fine-tuning:Train and fine-tune SLMs using Hugging Face and Knowledge on Adaptors.
• Model Optimization:Apply quantization, pruning, knowledge distillation, and optimization for lightweight, efficient models.
• Edge Deployment:Deploy models to edge devices, mobile, and local servers, etc.
• Pipeline Engineering:Build end-to-endMLOpspipelines — from data ingestion to deployment.
• Performance Monitoring:Track model accuracy, latency, and CPU/GPU usage in production.

• Deployment experience on edge or mobile environments
• Knowledge of ONNX export and cross-platform inference
• MLOpstooling — experiment tracking, model registries, CI/CD for ML

At , we celebrate our unique differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Our global Employee Communities (EECs) support representation and inclusion across our diverse workplace. rs are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make a higher-performing company and a great place to be.

Any employees with questions or concerns about equal employment opportunities in the workplace are encouraged to bring these issues to the attention of . will not allow any form of retaliation against employees who raise issues of equal employment opportunity. If employees feel they have been subjected to any such retaliation, they should contact . To ensure the workplace is free of artificial barriers, violation of this policy including any improper retaliatory conduct will lead to discipline, up to and including discharge. All employees must cooperate with all investigations conducted pursuant to this policy.