Senior Machine Learning Engineer

It’s fun to work in a company where people truly BELIEVE in what they’re doing!

We’re committed to bringing passion and customer focus to the business.

Corporate Overview

Proofpoint is a leading cybersecurity company protecting organizations’ greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.

We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That’s why we’re a leader in next-generation cybersecurity.

Protection Starts with People. Proofpoint.

The Role

Proofpoint is looking for a Senior Machine Learning Engineer to join our Algo team. In this pivotal role, you will drive the implementation and adoption of state-of-the-art ML systems and infrastructure supporting the models powering our email threat detection engine which protects some of the world’s largest enterprises.

Day to day:

You will collaborate closely with Data Scientists, MLOps and Backend Engineers to lead major initiatives end-to-end ensuring that our machine learning tools, infrastructure and workflows enable ML research, training and inference at scale. You will also help promote machine learning best practices and encourage innovative approaches to problem-solving within the team.

Your day-to-day

• Collaborate closely with data scientists, MLOps and backend engineers to train, deploy and manage diverse ML and NLP models within production environments

• Architect, build and maintain batch and real-time ML pipelines / workflows capable of processing complex structured and unstructured data using technologies such as Spark, Apache Airflow, AWS SageMaker etc.

• Offer expert advice and implement frameworks incorporating best practices on model selection, deployment strategies, model monitoring and retraining

• Contribute to the implementation of foundational ML infrastructure, including but not limited to: feature storage and engineering, asynchronous inference and evaluation, A/B testing of model versions.

• Champion and ensure scalability, reliability and ability to support various ML models and data products

• Develop, deploy and maintain scalable applications and infrastructure using Python and Terraform on AWS cloud Optimize production models including Large Language Models (LLMs) to improve latency and resource usage, reduce costs and ensure scalability

• Act as a mentor to team members, promoting a culture of innovation and continuous learning within the team

What you bring to the team

• Solid background in DevOps / infrastructure with several years of industry experience, working on distributed systems, ML infrastructure, and other high-scale applications in a managed cloud environment (AWS/Azure/GCP)

• Strong Python knowledge; experience developing and deploying production-grade software using asyncio

• Hands-on experience with at least one Infrastructure-As-Code framework

• Hands-on experience designing and building software and infra components powering at-scale ML predictions, such as feature engineering/storage solutions, model training/monitoring and ML inference services

• Experience designing, building and managing data pipelines for NLP/ deep learning models in cloud environments

• Strong understanding of engineering and infrastructure best practices, general software development principles with a machine learning software development lifecycle orientation

• Excellent communication abilities, capable of engaging both technical and business audiences alike, and experience leading cross-functional projects

Good to have:

• Strong proficiency in creating and optimizing high-throughput ETL/ELT pipelines using a Big Data processing engine such as DataBricks Workflows, Spark, Flink, Dask or similar

• Experience in ML inference optimization techniques, such as quantization, PEFT, DeepSpeed, ONNX, TensorRT

• Experience building software and/or data pipelines in the AWS cloud (SageMaker Endpoints, ECS/EKS, EMR, Glue)

Why Proofpoint

Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We’re a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly ‘culture-add’, and we strongly encourage people from all walks of life to apply.

We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint

If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!

Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.

To view additional awards, please visit www.proofpoint.com/us/news#awards

Proofpoint thrives on the invaluable contributions of our diverse workforce, which encompasses a kaleidoscope of lived experiences, thoughts, perspectives, and professional expertise. We attribute much of our success to our people, who are at the core of our organization and embody our people-centric ethos.

We hire the most innovative minds globally to safeguard our customers’ sensitive data and intellectual property. Our talented workforce develops and leverages our advanced technology, combining their expertise to provide comprehensive protection against threat actors and mitigate the risks posed by both malicious and negligent employees.

Cyberattacks have the potential to disrupt access to vital resources such as energy, water, transportation, healthcare, and financial services. At Proofpoint, our dedicated team works tirelessly to ensure world-class cyber resilience, protecting approximately 8,000 enterprise customers worldwide.

We are committed to creating a diverse, equitable, and inclusive environment. We work every day to ensure that our employees feel that they are in a community that celebrates their unique identity, cultivates their sense of belonging, and invests in their professional growth. We have 9 employee-led employee inclusion groups which help support both employees and our organization by providing opportunities to network, discuss career and cultural development and uplift the corporate culture to create a more inclusive workplace.

At Proofpoint, we have a passion for protecting people, data, and brands from today’s advanced threats and compliance risks. We hire the best people in the business to:

• Build and enhance our proven security platform

• Blend innovation and speed in a constantly evolving cloud architecture

• Analyze new threats and offer deep insight through data-driven intel

• Collaborate with customers to help solve their toughest security challenges

   

We are singularly devoted to helping our customers protect what matters most. That’s why we’re a leader in next-generation cybersecurity—and why more than half of the Fortune 100 trust us as a security partner.

Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.

Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.