ML Tech Lead- Duo Security.

6 months ago

Cary, United States Cisco Full time

Duo + Cisco = Disco

With the Most Loved Company in Security and the global leader in network technology joining forces, there are more exciting opportunities than ever to be at the forefront of securing the cloud.

Our mission is simple: democratize security by making it easy and effective for everyone. We’re transforming security from the ground up by solving the world’s most pressing geopolitical challenge — safe, secure information access. We engineer our business to enable our customers to easily address their ever-evolving security challenges.

We believe that impactful work is rewarding work and that our team is at its best when everyone feels empowered to bring their whole self to work. We learn together by hiring for cultural contribution, not cultural fit, and recognize that diversity in background and thought are essential to building high-impact teams.

We invest in growth and learning opportunities and encourage our people to never stop learning. We foster collaboration and believe in being recognized (and rewarded) for hard work. We champion a healthy work-life balance. We’re kinder than necessary.

Together we build for the future by designing simple solutions for complex problems.

What You’ll do:

As a Machine Learning Engineering Tech Lead on the Duo AI and Security Research team, you will design and build systems to handle our ML-powered applications. You will collaborate with teams in the Data Science & Engineering organization to support our existing Duo Trust Monitor and Risk-based Authentication systems, develop new data-powered products, and improve our Zero Trust product offering. By joining our team, you’ll help build the next generation of our machine learning applications. Responsibilities include:

Work with researchers, engineers and product teams tackling technical problems of high complexity to deliver machine learning based solutions in areas such as threat detection, policy recommendation, and text-based AI assistants Design, develop and extend our machine learning infrastructure capabilities (job orchestration, feature engineering, model monitoring etc.) and support our running models in production Collaborate with engineering teams throughout Duo to improve and communicate our engineering & infrastructure standard methodologies

Our Minimum Qualifications for the role:

4+ years professional Python development experience 3+ years experience working with cloud infrastructure, including AWS Experience developing and maintaining large-scale machine learning and/or data processing systems Experience leading software development within a team and/or experience mentoring junior engineers

Preferred Experience:

Experience supporting and operating high-availability, customer-facing software products Experience with data processing and storage frameworks such as Spark, Delta Lake, or Athena Familiarity with Feature Store concepts and operations Experience with machine learning model serving frameworks like Sagemaker or Seldon Experience with infrastructure-as-code tools like Terraform Familiarity with Kubernetes and its ecosystem Experience prioritizing and planning engineering work in collaboration with external stakeholders

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