REMOTEFULLTIME
Machine Learning Engineer
Proofpoint
Remote · remote · Posted 48d ago
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Undisclosed2–7 yrsfulltimeRemote
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Section · 01
About this role
Job Title
Role Overview
Key Responsibilities
Required Qualifications
Location
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Machine Learning Engineer
Role Overview
Proofpoint is building the next generation of AI-powered security systems to protect organizations from rapidly evolving threats. We are looking for a highly skilled Machine Learning Engineer to help design and build production-grade ML systems that power intelligent security detections at scale. This role is focused on developing and deploying fine-tuned models that are small, fast, reliable, and cost-efficient - capable of operating in real-world, high-throughput security environments. You will work closely with security researchers, platform engineers, and product teams to turn cutting-edge ML techniques into robust detection capabilities used in production. If you enjoy optimizing models for latency, efficiency, inference cost, and operational reliability - while solving difficult security problems - we d love to talk to you.
Key Responsibilities
- Design, train, fine-tune, and evaluate machine learning models for security detection use cases
- Build lightweight, high-performance models optimized for low latency, low inference cost, high throughput, operational reliability
- Develop fine-tuning pipelines for LLMs and smaller transformer-based models
- Experiment with techniques such as distillation, quantization, pruning, retrieval augmentation, parameter-efficient fine tuning (LoRA, adapters, etc.)
- Improve detection quality while minimizing false positives and false negatives - Build scalable ML infrastructure and production inference pipelines
- Partner with security researchers to transform detection logic into ML-powered systems
- Measure and optimize model performance across quality, speed, memory footprint, and cost
- Contribute to data engineering and labeling workflows for supervised training
- Monitor production models and continuously improve robustness and reliability.
Required Qualifications
- Experience 2+ years of experience in Machine Learning Engineering or Applied AI
- Strong experience building and deploying ML systems in production
- Experience fine-tuning transformer models or LLMs Strong Python engineering skills
- Experience with modern ML frameworks such as PyTorch, Hugging Face, TensorFlow (optional)
- Experience optimizing models for inference efficiency and scale
- Solid understanding of model evaluation, experimentation, data pipelines, distributed training
- Experience deploying models in cloud or containerized environments
- Strong software engineering fundamentals and production mindset
Location
Sunnyvale; Hyderabad; Athens
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
DistillationCyberFine Tuningmodel evaluationCollaboration ToolsCompensation And BenefitsLow LatencyLoraComputer NetworksDeploying ModelsData EngineeringcloudCyber SecurityEquitycomplianceData PipelineArtificial IntelligenceMachine Learning
Section · Company
About Proofpoint
Proofpoint
Bangalore / Bengaluru, Karnataka
India
₹8.8L PA avg
Avg at Proofpoint
About
Proofpoint helps organizations protect their people. Our integrated, cloud-based suite of people-centric compliance and security solutions helps mitigate today’s security and compliance risks.
Industries
Hardware & NetworkingSoftware Product
Employee ratings
10 reviews
3.9/ 5
Culture
4.1
Career growth
4.0
Work-life
4.6
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Overall Company39Compensation & Benefits38
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