about 3 hours ago
Remote, WorldwideSenior / Staff+
H1B Sponsor
Responsibilities
- Design and implement comprehensive evaluation frameworks for agent performance.
- Own the entire ML lifecycle from prototype to production.
- Work closely with product teams to integrate ML capabilities into features.
- Continuously improve AI agents through experimentation and architectural enhancements.
- Build foundational ML systems and monitoring tools for scalability.
- Collaborate with the CTO for strategic alignment and project execution.
- Mentor junior ML engineers through code reviews and technical guidance.
Requirements
- 6+ years of experience building and scaling machine learning systems in production.
- Strong background in classical neural networks and deep learning fundamentals.
- Experience building ML systems that solve real business problems.
- Practical knowledge from experience across multiple organizations.
- Strong Python skills and flexibility with ML frameworks and tools.
- Ability to operate autonomously while aligning with leadership.
- Experience working closely with product teams to translate technical capabilities.
Benefits
- Drive real-world AI impact in cybersecurity.
- Opportunity for technical leadership and autonomy in decision-making.
- Join a team with experience in Big Tech and Scale-ups.
- Shape the future of generative AI in cybersecurity.
- Clear pathways for career growth and development.
- Work on breakthrough technology at the intersection of AI and cybersecurity.