AI Engineer

Job not on LinkedIn

🔥 27 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $273.9k - $370.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

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Rapid7

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🔒 Cybersecurity

Cybersecurity

Rapid7 is a cybersecurity company that provides a range of solutions designed to secure cloud, identity, and endpoint products. The company's Command Platform utilizes artificial intelligence to offer deep insights into cybersecurity threats and vulnerabilities. Rapid7's offerings include Managed XDR for continuous monitoring, detection, and incident response, as well as tools for attack surface management, vulnerability management, and threat intelligence. The company is known for its open-source projects like Metasploit and Velociraptor, which aid in vulnerability research and enhancing cybersecurity frameworks. Rapid7 also emphasizes community and culture, contributing to diversity, equity, and inclusion, and engages in public policy advocacy to strengthen cybersecurity on a broader scale. They serve over 11,000 global companies and deliver expert analysis on attack trends and emergent threats through Rapid7 Labs.

📋 Description

• Set the multi-year AI technology strategy for Rapid7’s security platform • Define the AI technology vision, architecture strategy and multi-year roadmap across Detection and Response, Exposure and Remediation and the wider platform • Shape company-wide investment and model strategy, including where to build, buy or partner • Decide which frontier, open-source and in-house model capabilities to invest in • Sponsor and guide the highest-risk, highest-impact AI initiatives across multiple organisations • Solve the hardest technical problems and unblock initiatives • Establish engineering, evaluation and responsible-AI standards for AI systems • Partner with executive leadership to align AI strategy with business strategy, product direction and customer needs • Anticipate shifts in AI and the threat landscape and drive necessary organizational changes • Mentor and develop Senior Principal, Principal and Staff engineers • Build a deep bench of AI engineering leadership • Represent Rapid7 as a recognized voice in AI and security with customers, partners, researchers and the industry • Elevate engineering excellence through thought leadership, mentorship and influence

🎯 Requirements

• 16+ years of software or ML engineering experience • 2+ years leading the design of production LLM or agentic AI systems • PhD in Computer Science, Machine Learning, AI or a related field preferred, or equivalent depth of expertise demonstrated through industry experience and technical contributions • Track record of defining technical strategy and platforms that shaped products or businesses at company scale • Authoritative expertise in LLMs and AI systems, including transformer architecture, training, post-training, evaluation and inference optimization at scale • Deep technical breadth across predictive AI, classical ML, distributed systems and data platforms • Experience shaping evaluation strategy, safety and responsible-AI practices for LLM and agent systems • Experience scaling AI workloads in production, ideally on AWS • Ability to make decisions based on accuracy, latency, cost and risk • Ability to articulate technical vision, influence senior leadership and shape strategic decisions • Ability to build alignment among senior technical and business stakeholders • Ability to thrive in ambiguity and drive change at the leading edge of AI • Sustained recognition as an industry expert in AI, evidenced by publications, patents, open-source leadership, or influence in industry and standards bodies • Ability to develop and inspire senior technical talent • Embody Rapid7’s core values • Commitment to fostering a culture of excellence, meaningful impact and collective success

🏖️ Benefits

• Variable/incentive compensation (excluded from the salary range) • Equity (where applicable/eligible) • Benefits (where applicable/eligible) • Fair and equitable compensation practices • Collaborative workplace where new ideas are welcome

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