11 responsible ai engineer jobs at 7 companies in Salinas, CA
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AIML - Senior ML Engineer, Responsible AI and Safety
Cupertino, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Expertise in responsible AI lifecycle including risk assessment, policy definition, mitigation strategy development, evaluation and monitoring of large language and multimodal models; collaboration with cross-functional teams and contribution to research in fairness, robustness, uncertainty, and safety.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Design and build security infrastructure for production build systems and provide security engineering expertise across the organization to create controls, observability, detections, responses, and workflows.
San Jose or Europe or North America or South America
RemoteFull Time
EWOR: Venture builder providing capital and mentorship to early-stage founders.
Entrepreneurial experience, willingness to take full responsibility for building and scaling a startup to €100M+ revenue, excellent English communication skills, and residence in Europe or the Americas or willingness to relocate.
Security Engineer, Detection & Response - Global Security Organization
San Jose, California, United States
$156k-$317k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
Strong security fundamentals across networks/hosts/apps/containers; experience with WAF/HIDS/NTA/EDR/DLP; coding for log analysis and detection-as-code; threat modeling, incident analysis, and ML/AI for security.
Research Scientist Intern (Seed Responsible AI) - 2026 Start (PhD)
San Jose, California, United States
OnsiteIntern
ByteDance: Developing AI-driven content platforms and mobile applications.
Pursing a BS/MS/PhD in CS, Math, Engineering or related; strong research in LLMs, LLM safety, RL, or agents; excellent coding in C/C++ or Python; solid algorithms and problem-solving; good communication.
Senior Machine Learning Engineering Manager, Responsible AI and Safety - AIML/SWE
Cupertino, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Proven leadership in applied research and machine learning, experience with foundation models, focus on responsibility, fairness, safety, and upholding privacy and quality standards.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
8+ YOE8+ years securing large-scale Linux infrastructure and AI clusters; strong C/C++ proficiency, Linux kernel hardening (SELinux/AppArmor), eBPF, incident response, risk assessment, and cross-team collaboration. BS in CS/Engineering/Cybersecurity or equivalent experience.