Tech Lead, East Coast

We are seeking an experienced Tech Lead Manager/Engineering Manager to grow out and lead a forward-deployed team of Machine learning engineers who will be building applications for a graphically intensive simulation platform. This role will serve as the central facilitator for platform director requests for engineers with technical expertise.

Key Responsibilities

Stakeholder Management: Steward the end-to-end planning, execution, and delivery of the platform-deployed machine learning applications.
Cross-Functional Coordination: Act as the primary point of contact between the customers and ML engineers, translating technical requirements from different gaming-adjacent domains to Machine Learning.
Product Prioritization: Exhibit strong judgement in when to deploy off-the-shelf commercial solutions, customize open-source solutions, or initiate greenfield applied science research projects based on product needs.

Proven experience as an Engineering Manager in a customer facing AI/ML team with a consulting mindset.
Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development or aerospace.
Prior experience having a team of around 10 direct reports, establishing ways of working, and developing them to be high performing.
High attention to detail and conscientiousness.
Ability to translate customer requests and turn them into actionable technical requirement documents in collaboration with ML engineers.
Fluency with the entire machine learning lifecycle, including infrastructure for data, training and deployment.
Background with visual computing, and game engines and real-time 3D rendering is preferred.
Familiarity with Python, Git, PyTorch and the Unix shell is preferred.
Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, an experiment tracking framework, a data dashboard.

Nice to have:

Experience with Adaptive or Lean methodologies.
Agile or Scrum certifications.
Familiarity with AWS and ETL orchestration.
Graduate degree in Artificial Intelligence/Machine Learning/Data Science/Visual Computing or other related field.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $245,000-$270,000 (bonus eligible).

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

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