
Real job — pulled straight from Barracuda Networks’s careers page · Verified September 23, 2026 · No reposts.
Job description
Barracuda Networks is hiring a Machine Learning Engineer — a full-time role. Apply directly on Barracuda Networks's careers page below.
Come join our passionate team! Barracuda is a leading cybersecurity company providing complete protection against complex threats. Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience. Hundreds of thousands of IT professionals and managed service providers worldwide trust us to protect and support them with solutions that are easy to buy, deploy, and use.
We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an employer that complies with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity regardless of race, gender, religion, sex, sexual orientation, national origin, or disability.
Envision yourself at Barracuda:
We are looking for a talented Machine Learning Engineer II to join our growing team and help us develop cutting-edge Machine Learning detection solutions for our email protection products. As part of the Efficacy engineering team, you will be responsible for designing and implementing innovative machine learning algorithms that can analyze vast amounts of data and detect threats in real-time. You will be part of a team that is responsible for detecting email threats across our customers. You possess strong technical hands-on experience in delivering use cases and detection rules for multiple attack vectors through Machine learning. You help by developing detection methods to make sure we can identify potential threats and take action to stop them. This is an excellent opportunity to work with an elite team of security engineers and make a real impact in the field of cybersecurity. You will collaborate with other team members every day. Being a team player is necessary for being successful in this role along with having an innovative and forward-facing mindset. You will be a leader within the team and act as a mentor to other team members.
What you'll be working on:
Analyze vast amounts of data to identify threats and devise innovative algorithms to detect them in real-time
Research and develop new email threat detections to support the ever-changing cyber space
Build and train machine learning classifiers to detect attacks across our email protection products
Evaluate the performance of your algorithms and continuously optimize them
Collaborate with an elite team of machine learning and software engineers to scale your algorithms and bring them to production
Leverage the latest AI to accelerate delivery of detection solutions
Work with cutting-edge technologies in a fast-paced environment
Communicate clearly and effectively, both written and orally, the risks that exist and remediations required for any security incident.
Work collaboratively and independently on unique or special assignments which may require specialized knowledge and/or experience
What you will bring to the role:
Bachelor's degree in computer science or electrical engineering. An advanced degree is a plus; or equivalent work experience
2-4 years of experience in creating and maintaining machine learning models
Proven track record in developing production-grade machine learning algorithms that solve practical problems
2+ years of experience in analyzing large structured and unstructured data using Python (or other relevant languages)
Visceral understanding of probability and supervised/unsupervised learning
Experience working with Databricks and SQL.
Hands on experience with cloud architecture such AWS or Azure is a plus.
Experience with Deep learning is a plus
Hands-on experience with MLOps tools (MLFlow) for model deployment and inference is a plus.
Experience with Identity Access Graph/Knowledge graphs and Graph modelling is a huge plus.
Experience in cybersecurity is a plus
Experience using AI features for model inference LLMs, RAG systems, and evaluation frameworks is a plus
Entrepreneurial spirit and extreme sense of ownership
Deep desire to make our customers happy and provide best-in-class machine learning detections
What you’ll get from us:
A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda.
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Frequently asked questions
What skills are required for Machine Learning Engineer at Barracuda Networks?
The required skills for Machine Learning Engineer at Barracuda Networks include: Machine Learning, Python, Databricks, SQL, AWS, Azure, Deep Learning, MLOps, MLflow, Cybersecurity, LLM.
What is the seniority level for Machine Learning Engineer at Barracuda Networks?
Machine Learning Engineer at Barracuda Networks is a Mid Level / Manager level position.
How do I apply for Machine Learning Engineer at Barracuda Networks?
You can view the full description and apply for Machine Learning Engineer at Barracuda Networks on EchoJobs: https://echojobs.io/job/barracuda-networks-machine-learning-engineer-ii-vuszl.