Director of Applied AI & Intelligent Systems

ZoomInfo

Vancouver (WA)

On-site

USD 233,000 - 366,000

Full time

13 hours ago
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Job summary

ZoomInfo is seeking a leader to own the B2B data graph strategy and supervise a team of ML engineers and data scientists. You will ship production ML systems, blend classical ML with LLMs, and drive end-to-end delivery from problem framing to on-call support.

You will set evaluation standards, manage inference costs, and partner with product, security, and legal. The role emphasizes hands-on coding, prototypes, and leadership to raise the technical bar.

Qualifications

  • Significant experience building production machine learning systems with hands-on leadership.
  • Track record hiring and developing senior ML engineers and data scientists.
  • Hands-on today: shipping code, building prototypes, and reviewing work.
  • Deep ML expertise including supervised learning, feature engineering, statistics, SQL, and production LLM/agentic systems.
  • Experience with cost/capacity decisions for model serving and reporting results to executives.

Responsibilities

  • Ship code alongside your team and review peers with rigorous standards.
  • Own end-to-end delivery from problem framing to serving and on-call.
  • Choose methods (ML, LLM, code) for diverse challenges with measurable impact.
  • Define evaluation criteria and build regression gates and experiments.
  • Own inference cost, latency, and capacity; inform build-vs-buy decisions.
  • Hire and grow ML engineers and data scientists, developing senior staff into leaders.

Skills

Production ML
Team leadership
Hands-on coding
SQL proficiency
LLM / agentic systems
Cost & capacity planning

Tools

No tools specified

Job description

ZoomInfo is seeking a leader to own the B2B data graph strategy and supervise a team of ML engineers and data scientists. You will ship production ML systems, blend classical ML with LLMs, and drive end-to-end delivery from problem framing to on-call support.

You will set evaluation standards, manage inference costs, and partner with product, security, and legal. The role emphasizes hands-on coding, prototypes, and leadership to raise the technical bar.

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