Staff Data Scientist / ML Engineer

About Us:
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We’re driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.

How We Work:
At Proofpoint, you’ll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.

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 is hiring a Staff Data Scientist / ML Engineer to lead multiple Data Science, GenAI, and AI Engineering initiatives. The ideal candidate will drive the development and deployment of innovative machine learning and generative AI solutions, working cross-functionally with DevOps, product, and data engineering teams. This leadership role requires deep technical expertise, hands-on implementation experience, and a strong vision for scalable AI systems that power real-world applications in cybersecurity.
 

Responsibilities:

• Lead the development of machine learning models and advanced analytics solutions to solve complex business problems.

• Design and implement generative AI and large language model (LLM) applications, including fine-tuning and domain adaptation for cybersecurity use cases.

• Collaborate with engineering teams to build scalable and secure LLM-based systems (retrieval-augmented generation, prompt engineering, evaluation pipelines).

• Architect and lead AI solutions across full lifecycle—from experimentation to MLOps pipelines and production deployment.

• Design experiments and use statistical analysis to measure the impact of various business strategies.

• Oversee the deployment of machine learning and LLM models in production, ensuring performance, scalability, and responsible AI practices.

• Lead the development of model performance monitoring, observability, and continuous learning pipelines.

• Define technical direction for LLM and GenAI adoption, including benchmarking open-source and commercial models.

• Champion AI/ML best practices including model governance, reproducibility, and ethical AI considerations.

• Promote a data-driven and AI-forward culture within the organization and advocate for cutting-edge AI adoption across teams.

• Stay current with advancements in LLMs, GenAI, AI engineering, and emerging AI regulations.

Qualifications:

Education:

• PhD or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or related discipline.

Experience:

• 10+ years of experience in data science or applied machine learning, with 3+ years in a technical leadership or managerial role.

• Proven track record of designing, developing, and deploying ML and GenAI solutions at scale.

• Hands-on experience working with LLMs (e.g., OpenAI, Anthropic, LLaMA, Mistral) and GenAI frameworks (e.g., LangChain, LlamaIndex, Hugging Face).

• Experience in cybersecurity or enterprise-scale threat detection systems is a strong plus.

Technical Skills:

• Proficiency in Python and relevant ML/AI libraries (e.g., PyTorch, TensorFlow, Transformers, Scikit-learn).

• Strong grasp of LLM fine-tuning, prompt engineering, RAG pipelines, vector databases (e.g., FAISS, Pinecone), and inference optimization.

• Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).

• Solid understanding of MLOps principles including CI/CD for ML, feature stores, model versioning, and monitoring.

• Familiarity with privacy, security, and compliance considerations in deploying AI solutions.

Soft Skills:

• Excellent leadership and mentorship skills, with a collaborative approach to cross-functional problem solving.

• Ability to communicate complex technical ideas to both technical and non-technical stakeholders.

• Strong innovation mindset, strategic thinking, and a passion for applying AI to impactful real-world problems

Why Proofpoint

As a customer focused and driven-to-win organization with leading edge products, there are many exciting reasons to join the Proofpoint team. We believe in hiring the best the brightest and cultivating a culture of collaboration and appreciation. As we continue to grow and expand globally, we understand that hiring the right people and developing great teams is key to our success! We are a multi-national company with locations in many countries, with each location contributing to Proofpoint’s amazing culture!  #LI-AN1

Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you’ll love working with us:

• Competitive compensation

• Comprehensive benefits

• Learning & Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.

• Flexible work environment: [Remote options, hybrid schedules, flexible hours, etc.].

• Annual wellness and community outreach days

• Always on recognition for your contributions

• Global collaboration and networking opportunities

Our Culture:

Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to accessibility@proofpoint.com. How to Apply Interested? Submit your application here https://www.proofpoint.com/us/company/careers. We can’t wait to hear from you!

Consistent with Proofpoint values and applicable law, we provide the following information to promote pay transparency and equity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets as set out below. Pay within these ranges varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. This role may be eligible for variable compensation and/or equity. We offer a competitive benefits package, including flexible time off, a comprehensive well-being program with two paid Wellbeing Days and two paid Volunteer Days per year, plus a three-week Work from Anywhere option.

Base Pay Ranges:

SF Bay Area, New York City Metro Area:

Base Pay Range: 194,475.00 - 285,230.00 USD

California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska:

Base Pay Range: 162,375.00 - 238,150.00 USD

All other cities and states excluding those listed above:

Base Pay Range: 148,425.00 - 217,690.00 USD