Sr. AI / ML Engineer

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. 
 

Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

AI / ML Engineer

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.   

Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where everyone can thrive.
 

Position Summary

F5 is seeking a pragmatic, hands-on AI/ML professional to develop fundamental components of F5’s next generation cybersecurity and application delivery tools. The ideal candidate has deep experience applying machine learning techniques to domains such as entity recognition, sentiment analysis, fraud prevention, or data sanitization to improve business outcomes.

This role will create and refine innovative AI/ML models that allow F5’s global customers to safely deploy generative AI technologies within their own organizations confident in the guardrails and protections enabled by your work.

Successful applicants will have a proven track record in completing the full product lifecycle – from design and implementation to gathering feedback and iterating on systems, frameworks, and tools for AI/ML products. They have experience overseeing system integrations and the continuous integration of ML models. They help build, measure, and iterate on production-deployed systems while leveraging a strategic mindset for problem-solving and driving continuous enhancements to user experiences.
 

Primary Responsibilities

• Train and fine-tune proprietary models to achieve business goals.
• Collect, synthesize, clean, or augment appropriate datasets.
• Establish longitudinal benchmarks for evaluating and improving model efficacy.
• Provide technical leadership and advice to the business regarding its use of machine learning.
• Drive the adoption of standard AI/ML processes in development, testing, documentation, and maintenance.
• Stay abreast of the latest AI/ML developments and evaluate potential impacts and opportunities for our products and services.
   

Knowledge, Skills, and Abilities

• Knowledge of machine learning and natural language processing (NLP) techniques (clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced mathematical and statistical techniques and concepts (multivariate analysis, properties of distributions, statistical tests, etc.) and when to apply them.
• Proficiency with one or more Machine Learning development libraries and/or hardware acceleration platforms (e.g., PyTorch, Keras, Tensorflow, CUDA, ROCm, etc.)
• Hands-on experience with cloud computing platforms and production deployments of ML workloads, particularly via Kubernetes.

• Experience leading AI/ML projects and tool adoption, building and operating large scale distributed systems with continuous delivery and integration.

• Excellent written communication skills.
• Demonstrated ability to work asynchronously in a globally distributed team.

• Ability to effectively foster and maintain consensus on AI/ML approaches and solutions to ensure consistency and collaboration across multiple business units and stakeholders.Domain knowledge of cybersecurity, networking, or WAF/WAAP solutions is a plus.

• Fluency with a second natural language is also a plus.

Qualifications

• Minimum of 3 years of experience developing, training, and deploying AI/ML models; and building workflows, infrastructure, and tooling.
• Master’s degree or Ph.D. in Mathematics, Statistics, Computer Science, or a related field; or equivalent professional experience.
  
  #LI-JB1

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.

The annual base pay for this position is: $166,625