The company is looking to solve complex cybersecurity challenges through innovative machine learning and artificial intelligence projects.
Requirements
- Strong proficiency in Python, SQL, ML libraries and frameworks
- Extensive experience in data modeling, feature engineering, model development, and error analysis
- Proven track record of designing, building and shipping end-end applications at scale, with familiarity with multi-agent systems and orchestration frameworks
- Strong experience with LLM’s, agent architectures, prompt engineering and SOTA AI frameworks
- Deep expertise with cloud infrastructure (e.g. AWS, GCP) for AI workloads
- Solid understanding of machine learning concepts and their applications in cybersecurity
Responsibilities
- Leading the design and development of cutting edge, production ready ML systems and pipelines, cybersecurity applications
- Optimizing existing machine learning pipelines for improved efficiency and scalability
- Exploring and experimenting with advanced AI techniques and architectures to solve complex cybersecurity problems
- Collaborating with cross-functional teams to define project requirements and ensure alignment with business objectives
- Ensuring systems and applications meet reliability, scalability and performance requirements
Other
- 10+ years of experience as a Machine Learning Engineer, with a proven track record of delivering successful projects
- Excellent communication skills with ability to translate complex technical concepts to stakeholders
- Bachelor's degree in Computer Science, Engineering, or a related technical field (Master's Degree or PhD preferred)
- 3 days a week in-office work in San Jose, CA
