Director of AI/ML Engineering - Scale & Strategy

Yahoo Holdings Inc.

Richardson (TX)

Hybrid

USD 161,000 - 350,000

Full time

5 days ago

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Benefits offered by this job

Healthcare

401(k)

Backup childcare

Education stipends

Job summary

Yahoo is seeking a senior AI/ML Engineer to guide the design and implementation of large-scale ML-based solutions across multiple teams. You will align with strategic roadmaps and collaborate with product and design to deliver scalable systems that power search and AI experiences.

You will define data strategies, evaluate frameworks, and drive production serving improvements while staying current with AI advances.

Qualifications

8+ years of track record driving significant impact in the industry with increasing levels of responsibility and strategic influence.
Master's degree in Computer Science, Electrical Engineering, Statistics, Applied Math or related field, or equivalent work experience with a proven record of strategic technical leadership.
Expertise in AI, machine learning, deep learning, natural language processing, and a demonstrated ability to apply these technologies to solve strategic business problems.
Expertise in Python and Java or C++, guiding teams in the development of scalable and robust systems.
Experience in query understanding and query formulation guidance is desirable.

Responsibilities

Based on strategic product roadmaps developed collaboratively with product and design, guide the design and implementation of large-scale, evolving ML-based solutions and systems across multiple teams.
Define overarching technical requirements, including comprehensive data strategies to ground knowledge, evaluation frameworks applicable to multiple teams, and scalable production serving strategies.
Leverage exceptional communication skills to drive technical discussions and alignment across various engineering, product, and research teams, fostering collaborative product development with product and design leads.
Maintain a strong understanding of industry trends and advancements in AI, including large language and vision models and generative AI, and guide teams in their adoption, informed by underlying data principles and aligned with product vision.
Drive data analysis efforts across teams to identify key patterns, validate hypotheses, and inform strategic development directions in close partnership with product.
Embrace and adopt Agentic AI development, leading the team to the best and most effective uses to the benefit of the product and the system.