Model Misuse Jobs
Browse 21 Model Misuse jobs on Inference Jobs.
21 jobs
3w ago
OP
OP3w agoOP
OPModel Policy Manager, Chemical & Biological Risk
OpenAI
San Francisco, California, US$207K – $295K Yearly
3w agoOP
OPModel Policy, Frontier Cyber Risk
OpenAI
San Francisco, California, United States (Hybrid)$207K – $295K Yearly
4w agoOP
OPMachine Learning Engineer, Integrity
OpenAI
San Francisco, California, United States (On-site)$266K – $555K Yearly
4w agoOP
OPEngineering Manager, Distillation & Dectection Platform
OpenAI
San Francisco, California, United States (On-site)$293K – $385K Yearly
3w agoOP
OPResearcher, Safety Oversight
OpenAI
San Francisco, California, United States (On-site)$295K – $445K Yearly
2d agoOP
OPResearcher, Loss of Control
OpenAI
San Francisco, California, United States (On-site)$295K – $445K Yearly
4w ago
AN
ANResearch Engineer, Safeguards Labs
Anthropic
San Francisco, California, United States (Hybrid)$350K – $850K Yearly
4w agoOP
OPResearcher, Frontier Cybersecurity Risks
OpenAI
San Francisco, California, United States (On-site)$295K – $445K Yearly
1w agoAN
ANMachine Learning Engineer, Safeguards
Anthropic
San Francisco, California, United States (Hybrid)$350K – $500K Yearly
3d ago
NV
NVSenior Research Manager, World Model Evaluation
NVIDIA
Santa Clara, California, United States (On-site)$272K – $431.3K Yearly
4w agoOP
OPTechnical Program Manager – Adversarial Model Research
OpenAI
San Francisco, California, US$230K – $285K Yearly
4w ago
XA
XAMember of Technical Staff - Model Training
xAI
Austin, Texas, United States (On-site)$180K – $600K Yearly
3w agoOP
OPTechnical Threat Investigator, Threat Intel Engineering
OpenAI
San Francisco, California, United States (Hybrid)$230K – $385K Yearly
5d agoAN
ANThreat Intel Manager, Model Exploitation & Fraud
Anthropic
San Francisco, California, United States (On-site)$375K – $455K Yearly
5d agoOP
OPResearch Engineer / Research Scientist - Personal AGI, Personality and Model Behavior
OpenAI
San Francisco, California, United States (Hybrid)$295K – $555K Yearly