<p>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.</p><h3>Key Responsibilities</h3><ul><li>Stakeholder Management: Steward the end-to-end planning, execution, and delivery of the platform-deployed machine learning applications.</li><li>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.</li><li>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.</li></ul><ul><li>Proven experience as a Tech Lead/Engineering Manager in a customer facing AI/ML team with a consulting mindset.</li><li>Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development or aerospace.</li><li>Prior experience having a team of around 10 direct reports, establishing ways of working, and developing them to be high performing.</li><li>High attention to detail and conscientiousness.</li><li>Ability to translate customer requests and turn them into actionable technical requirement documents in collaboration with ML engineers.</li><li>Fluency with the entire machine learning lifecycle, including infrastructure for data, training and deployment.</li><li>Background with visual computing, and game engines and real-time 3D rendering is preferred.</li><li>Familiarity with Python, Git, PyTorch and the Unix shell is preferred.</li><li>Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, an experiment tracking framework, a data dashboard.</li></ul><h3>Nice to have:</h3><ul><li>Experience with Adaptive or Lean methodologies.</li><li>Agile or Scrum certifications.</li><li>Familiarity with AWS and ETL orchestration.</li><li>Graduate degree in Artificial Intelligence/Machine Learning/Data Science/Visual Computing or other related field.</li></ul><p><em>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 <a href="https://himalayas.app/companies/nbcuniversal">NBCUniversal</a> by visiting the Benefits page of the Careers website. Salary range: $245,000-$270,000 (bonus eligible). </em></p><p>As part of our selection process, external candidates may be required to attend an in-person interview with an <a href="https://himalayas.app/companies/nbcuniversal">NBCUniversal</a> employee at one of our locations prior to a