Tech Lead Manager, AI/ML Engineering (East Coast)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Tech Lead Manager, AI/ML Engineering (East Coast) (AI/ML): Lead a forward-deployed team of machine learning engineers building applications for a graphically intensive simulation platform with an accent on stakeholder-driven delivery, cross-functional translation of customer requirements, and ML lifecycle execution. Focus on prioritizing between off-the-shelf solutions, customized open-source approaches, and greenfield applied research while coordinating end-to-end planning and deployment.
Location: 30 Rockefeller Plaza, New York, NY 10111, USA
Salary: USD 245,000–270,000 yearly (bonus eligible)
Company
is a global media and entertainment company creating and distributing content across film, television, streaming, and theme parks.
What you will do
- Own end-to-end planning, execution, and delivery of platform-deployed machine learning applications.
- Serve as the primary point of contact between customers and ML engineers, translating technical requirements across gaming-adjacent domains into actionable ML needs.
- Guide product prioritization decisions: deploy off-the-shelf commercial solutions, customize open-source solutions, or initiate greenfield applied science research based on product requirements.
- Coordinate cross-functional execution to ensure ML applications meet platform and customer expectations.
Requirements
- Proven experience as a Tech Lead or Engineering Manager in a customer-facing AI/ML team with a consulting mindset.
- Experience leading complex, multi-disciplinary teams in industries such as robotics, smart grids, precision agriculture, game development, or aerospace.
- Experience managing a team of ~10 direct reports, establishing ways of working, and developing high-performing engineers.
- Fluency across the full machine learning lifecycle, including data infrastructure, training, and deployment.
- Ability to translate customer requests into actionable technical requirement documents in collaboration with ML engineers.
- Preferred familiarity with Python, Git, PyTorch, and Unix shell; plus tools like Jira/Confluence, Slack, Git server, experiment tracking, and data dashboards.
Nice to have
- Experience with adaptive or lean methodologies; Agile or Scrum certifications.
- Familiarity with AWS and ETL orchestration.
- Background in visual computing, game engines, and real-time 3D rendering.
- Graduate degree in Artificial Intelligence/Machine Learning/Data Science/Visual Computing or a related field.
Culture & Benefits
- Company-sponsored benefits including medical, dental, and vision insurance.
- 401(k), paid leave, and tuition reimbursement.
- Additional discounts and perks.
- In-person interview may be required for external candidates at an location during the selection process.
Hiring process
- Interview with an employee in person at an location (for external candidates) prior to a hiring decision.
- Evaluation of experience in customer-facing AI/ML leadership and ML lifecycle execution.
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