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Tier-1 brand, metro location, and mid-level ML role create high applicant competition.
Research-heavy ML and AI safety specialization makes skills less transferable across unrelated industries.
Explicit degree and years requirements plus publications/patents and programming skills indicate high strictness.
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Lead research and development in generative AI focusing on LLMs, multimodal models, and AI safety/alignment.
Develop and implement production-ready AI solutions that uphold customer trust and scale efficiently.
Collaborate cross-functionally to translate research innovations into practical AI applications and author patents/publications.
3+ years experience building models for business applications.
PhD or Master's degree plus 4+ years in CS, CE, ML or related fields.
Proven publication or patent record in top-tier conferences or journals.
Proficient programming skills in Java, C++, Python, or related languages.
Experienced in leading cutting-edge research in generative AI and AI safety/alignment.
Able to operate effectively at the intersection of AI research, product development, and privacy engineering.
Strong track record of translating research into scalable, production-grade AI products with measurable impact.