Staff Machine Learning Engineer

Fortinet•Santa Clara, CA

13h•$170,000 - $230,000

About The Position

Fortinet is looking for a Senior Machine Learning Engineer to assist FortiCNAPP Team! Be a valuable member of the team that owns and operates high-availability, cross-cloud, large-volume, AI/ML infrastructure ecosystems. As a Machine Learning Engineer, you will help 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.

Requirements

Bachelor’s degree in Computer Science or related, relevant field
3+ years of relevant experience
Knowledge and experience with Production Machine Learning 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.

Nice To Haves

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, scikit-learn, 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.

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.
Work on 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.
Analyze and improve efficiency, scalability, and stability of various system resources.
Build roadmaps and goals in partnership with engineering and product teams.
Work cross-functionally with other Engineering, Data Science, Product Management, Support, Sales teams as well as Customers to deliver quality platform capabilities.
Review, design 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 company-wide events