Senior AI Engineer, AI Safety

🔥 4 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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

NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Compose, build, and deploy foundational agentic automation loops for safety evaluations, red-teaming, model testing, model post-training, and ablations • Train and implement specialized systems for harmful-content identification, content quality coordination, and run-time guard-railing • Build and guide automated research frameworks using LLMs and autonomous agents to discover vulnerabilities • Generate or augment safety datasets for benchmarking or training and propose novel alignment techniques • Engineer proof-of-concept safety interventions and research ideas into robust, scalable production solutions • Partner with researchers, platform engineers, and data scientists to connect AI safety research with practical automated systems

🎯 Requirements

• Bachelor’s degree or Master’s degree with equivalent experience in Computer Science, Machine Learning, Software Engineering, or a related field • 8+ years of experience in ML engineering or software engineering • Proven experience building complex, automated workflows using LLMs, including multi-turn tool-calling, orchestration, and autonomous agent loops • Deep proficiency in one or more languages such as Rust or Python • Experience with machine learning frameworks like PyTorch • Ability to tackle open-ended, ambiguous problems and experiment, fail, iterate, and pursue solutions • Ability to own a project from initial white-boarding of a research idea to final deployment of a scalable production system • Prior domain experience in Trust & Safety, cybersecurity, threat intelligence, adversarial machine learning, or content moderation • Hands-on experience developing, fine-tuning, or deploying models for harm detection, content safety filtering, or run-time AI guardrails • Contributions to projects using LLMs to automate coding, data synthesis, or scientific research tasks • Active contributions to publicly available agent frameworks or AI safety benchmarking tools

🏖️ Benefits

• Equity • Comprehensive benefits package • Competitive salary

📊 Check your resume score for this job

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

Upload Resume