Weinvest in growth and learningopportunities and encourage our people to never stop learning. Wefoster collaborationand believe in being recognized (and rewarded!) for hard work. We champion a healthy work-life balance.We're kinder than necessary.

Together webuild for the futureby 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

Why Cisco Secure:

We're global, we're adaptable, we're diverse, and our security portfolio is as extensive as it is groundbreaking. Have you heard of Threat, Detection & Response, Zero Trust by Duo, Common Services Engineering, or Cloud & Network Security? Those are only a few of our product teams! The only thing we're missing is YOU.

Join an enterprise security leader with a start-up culture, committed to driving innovation and giving you the opportunity to make an impact. We #InnovateToWin and we know we're better together, that's why we're dedicated to inclusivity, collaboration, and diversity in everything we do.

We're proud to be the Best Small and Mid-Size Enterprises Security Solution Cisco Secure continues to grow and evolve year after year with 100% of Fortune 100 Companies using our products, and we're excited to see the new heights we'll reach with your passion for security, your customer focus, and your desire to change things up!

There are so many amazing reasons to join Cisco. Learn morehere!

Message to applicants applying to work in the U.S. and/or Canada:

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday, plus a day off for their birthday. Employees accrue up to 20 days of Paid Time Off (PTO) each year and have access to paid time away to deal with critical or emergency issues without tapping into their PTO. We offer additional paid time to volunteer and give back to the community. Employees are also able to purchase company stock through our Employee Stock Purchase Program.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:

.75% of incentive target for each 1% of revenue attainment up to 50% of quota;

1.5% of incentive target for each 1% of attainment between 50% and 75%;

1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.