Staff AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $186.5k - $252.3k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

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

• Design, build and ship LLM and agentic AI systems across Rapid7’s security products • Own technical solutions end to end for the assigned area • Lead the design and architecture of AI systems within Detection and Response and Exposure and Remediation • Contribute to the technical roadmap • Recommend model strategies, including use of frontier or open-source models, fine-tuning, distillation and post-training • Fine-tune, distill and post-train open-source LLMs on security data from curation through deployment • Apply and improve context engineering, inference optimization and evaluation practices • Optimize inference for quality, latency and cost • Establish evaluations as release gates for AI systems • Lead design reviews and resolve complex technical trade-offs • Prototype and build model, training and inference code • Mentor engineers and partner with Product and platform teams • Lead AI projects or programs and break larger goals into milestones • Manage technical risks and dependencies across teams • Translate customer needs into scalable AI solutions

🎯 Requirements

• 8+ years of software or ML engineering experience, including 2+ years building production LLM or agentic AI systems • Master’s degree in Computer Science, Machine Learning, AI or a related field preferred, or equivalent practical experience • Track record of leading scalable, production-grade AI systems used by multiple teams or products • Deep understanding of LLMs, including transformer architecture, attention, tokenization, positional encodings, training and serving • Advanced PyTorch skills, including custom model code, training loops, mixed precision and distributed training such as FSDP and DeepSpeed • Hands-on fine-tuning and post-training of open-weight LLMs, including LoRA, QLoRA, distillation, DPO and GRPO • Experience with context engineering, retrieval, memory, context management and LLM/agent evaluation benchmarks • Strong knowledge of inference optimization, KV-cache management, continuous batching, speculative decoding, quantization and serving at scale with vLLM, SGLang or TensorRT-LLM • Strong predictive AI, classical ML, distributed systems and Python fundamentals • Experience leading AI projects or programs of moderate scope and risk • Ability to manage risks and dependencies and drive issues to resolution • Ability to explain complex technical concepts and trade-offs to technical and non-technical audiences • Ability to build cross-functional partnerships and align technical approaches • Ability to translate customer needs into scalable, commercially viable AI solutions • Commitment to Rapid7’s core values

🏖️ Benefits

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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume