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Strong employer brand and metro location but senior, specialized role reduces applicant density.
Deep ML/LLM research and production expertise required reduces cross-industry transferability.
Explicit seniority, leadership years, ML/LLM expertise and advanced degree preference enforce strict filters.
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Own end-to-end development and deployment of large-scale embeddings, retrieval, ranking, and classification machine learning models.
Lead technical direction and initiatives for AI/ML solutions, including generative AI and NLP techniques, focused on recommender systems and personalized intent engines.
Collaborate cross-functionally with data science, product, and infrastructure teams to take AI innovations from conception through production, while mentoring junior engineers.
MS or PhD in Computer Science or related technical field, or equivalent experience.
Minimum 8 years of experience in machine learning, AI, or related fields.
At least 5 years in technical leadership or architect role on large-scale AI projects.
Hands-on expertise across the ML lifecycle including data pipelines, training, deployment, monitoring, and optimization.
Experienced in building and scaling production ML systems, preferably with 10+ years total experience.
Demonstrated expertise in large language models, generative AI, search/recommendations, or reinforcement learning.
Strong technical leadership skills with proven ability to influence product and technology strategy through AI innovation.