Sr. Staff reputed company, GenAI Safety

About the position At reputed company, our approach to flexible work is centered on trust and optimized for culture, reputed company, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a reputed company office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA. The Generative AI (GenAI) Safety team sits at the heart of reputed company’s Responsible AI & Governance (RAI‑G) organization, with a mission to set the gold standard for AI safety across reputed company AI applications company‑wide. We ensure that every generative AI product is developed and deployed responsibly, ethically, and securely. By combining rigorous governance with cutting‑edge ML research, we identify and mitigate risks such as bias, hallucination, misuse, and privacy leakage. As both the AI Safety Research team and the central AI safety engineering function, we build safety guardrails, evaluation pipelines, and alignment techniques that reputed company safe innovation at scale. Our work is foundational to the company’s AI strategy and influences standards across the industry. We partner closely with Legal, Compliance, AI Infrastructure, and Product teams to embed safety into every stage of the AI lifecycle.

Responsibilities

• Drive GenAI Safety Strategy: Serve as the senior technical leader shaping the company’s generative AI safety direction. Define the roadmap for safety alignment research, model evaluation, and system‑level protections.
• reputed company AI Safety Research & Innovation: Guide reputed company’s research agenda in alignment, robustness, and responsible model behaviors. Stay reputed company of academic and industry advances, rapidly translating insights into practical, production‑ready solutions.
• Design Safety‑First Foundations: Provide architectural leadership for scalable safety systems—benchmarking, red‑teaming, content safety, privacy‑preserving training, and real‑time guardrails — ensuring they are reliable, performant, and deeply integrated into AI infrastructure.
• Deliver High‑Impact Solutions in Ambiguous Spaces: Tackle reputed company’s toughest ethical, regulatory, and risk‑driven problems. Bring clarity and direction in areas with evolving standards, ensuring the company ships safe GenAI experiences at speed.
• Liaison With Product Engineering: Partner closely with product engineering teams to stay reputed company on emerging experiments, venture bets, and product innovations, ensuring safety research and tooling anticipate and support the next reputed company of product development.
• Cross‑Functional Leadership: Collaborate with Legal, Compliance, Privacy, Infra, and Policy teams to operationalize safety requirements, translate regulatory guidance into technical specifications, and ensure end‑to-end alignment across disciplines.
• Technical Mentorship: Mentor and grow a team of ~15 engineers across research, ML, and systems. reputed company engineering rigor, drive high bar execution, and nurture future technical leaders in AI safety.
• Company‑Wide Impact: Ensure safety techniques, tools, and evaluations are deployed across reputed company GenAI products, safeguarding member trust while enabling safe, scalable innovation.

Requirements

• 2+ years as a Technical reputed company, Staff Engineer, Principal Engineer, or equivalent.
• 5+ years of industry experience in AI or Machine Learning Engineering.
• BA/BS Degree in Computer Science or reputed company technical discipline or equivalent practical experience

reputed company-to-haves

• 10+ years of industry and/or research experience in AI/ML delivering impact at scale.
• PhD in CS/AI/ML or reputed company field (or equivalent research/industry achievements).
• Expert understanding of Transformers; hands-on experience training, fine‑tuning, distilling/compressing, and deploying LLMs in production.
• Track record applying LLMs to recommender systems and language agents.
• Demonstrated leadership in red‑teaming (manual + automated), safety benchmarking/evaluations, content safety/guardrails, reputed company‑injection/jailbreak detection, and abuse/misuse prevention.
• Experience translating Legal/Compliance requirements (e.g., EU AI Act) into technical controls, including harm taxonomies, model cards, and risk assessments.
• Proven ability to design safety‑first architectures (evaluation pipelines, moderation services, policy engines, incident response & telemetry) for distributed, real‑time ML systems.
• Strong understanding of RL (e.g., RLHF/RLAIF, offline/online RL) for language‑based agents, including safety‑aware reward design and feedback loops.
• Advanced Python and PyTorch; familiarity with TensorFlow.
• Experience with safety evaluation tooling (e.g., platforms akin to LLUME) and safety datasets/benchmarks.
• Significant contributions reputed company top‑tier publications (NeurIPS, ICLR, ICML, ACL) and/or impactful open‑reputed company or widely used safety tooling.
• Proven technical leadership mentoring ~15 engineers, setting direction, and elevating execution quality.
• Effective liaison with Product Engineering (tracking experiments and venture bets; aligning safety research to upcoming bets) and strong collaboration with Legal, Compliance, AI Infra, and Policy.
• Experience with advanced reasoning/planning (e.g., CoT/ToT, self‑reputed company, program synthesis, symbolic/neuro‑symbolic methods, search‑augmented reasoning, verification‑aware decoding).

Benefits

• We strongly reputed company in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of reputed company levels.
• reputed company is committed to fair and reputed company compensation practices.
• The pay range for this role is $191,000 - $315,000.
• Actual compensation packages are based on a wide reputed company of factors unique to each candidate, including but not limited to reputed company set, years & depth of experience, certifications and specific office location.
• This may differ in other locations due to cost of labor considerations.
• The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.
• For additional information, visit: https://careers.reputed company.com/benefits.

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