Principal Machine Learning Engineer

Fortinet is looking for a Principal Machine Learning Engineer to assist FortiCNAPP Team! Be a valuable member of the team that owns and operates highavailability crosscloud largevolume AI/ML infrastructure ecosystems. As a Principal Machine Learning Engineer you will help lead explore refine and build new techniques to improve the quality of ML models to capture anomalous and vulnerable cloud posture and activity as well as improve efficacy in security intrusion detection.

Responsibilities

• Design and develop models that have high precision and low false positive rates.
• Augment model outputs to facilitate security personnel to better investigate and remediate flagged activities or vulnerabilities.
• Lead projects that directly influence our enterprise and consumer offerings with expectations of developing code that ships.
• Conduct thorough data investigations across a massive number of customer accounts and cloud sources to ensure data driven success.
• Improve efficiency scalability and stability of various system resources.
• Build roadmaps and goals in partnership with engineering and product teams.
• Work crossfunctionally with other Engineering Data Science Product Management Support Sales teams as well as Customers to deliver quality platform capabilities.
• Review design mentor and code and make sure what we ship adheres to high engineering standards
• Demonstrate good communication skills and present work to company leadership and at companywide events

Minimum Qualifications

• Bachelors degree in Computer Science or related relevant field
• 7 yearsof relevant experience
• Have Delivered Production Machine Learning Models and Infrastructure
• Adhere and Mentor others on Development Lifecycles from Data Analysis Training Validation to Deployments.
• Solid foundation in Computer science fundamentals and distributed systems.
• Experience in one or more data stores including SQL Databases Snowflake Postgres Redshift Hadoop Cassandra etc.
• Ability to build systems that balance scalability availability and latency.
• Great communication skills and a team player.

Preferred Qualifications

• M.S or Ph.D relevant to Machine Learning Mathematics or Statistics.
• Used at scale or contributed to the development of services in the Cloud (AWS GCP Azure)
• Experience in containerized deployment or Kubernetes.
• Experience in graph data algorithms and processing.
• Experience with one or more Machine Learning Frameworks such as torch scikitlearn pandas tensorflow huggingface transformers.
• Experience with generative AI technologies such as AWS Bedrock Retrieval Augmented Generation Prompt Engineering Natural Language Processing/Generation.
• Maintains practice in keeping up with Academia and Industry State of the Art or relevant research experience.

The US base salary range for this fulltime position is $196700$254500. Fortinet offers employees a variety of benefits including medical dental vision life and disability insurance 401(k) 11 paid holidays vacation time and sick time as well as a comprehensive leave program.

Wage ranges are based on various factors including the labor market job type and job level. Exact salary offers will be determined by factors such as the candidates subject knowledge skill level qualifications experience and geographic location.

All roles are eligible to participate in the Fortinet equity program Bonus eligibility is reviewed at time of hire and annually at the Companys discretion.

Why Join Us:
We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial wellbeing. Embark on a challenging enjoyable and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660000 customers around the globe.