Remotery

Tech Lead

atNBCUniversalRemoteUS flagNew YorkFull-timeFull-stack EngineerSenior$245k – $270k/year

Posted Jul 16

This is a fully remote position, open to applicants in New York.

πŸ“‹ Description

β€’ Oversee the complete planning, execution, and delivery of machine learning applications deployed on the platform.

β€’ Serve as the main liaison between customers and ML engineers, converting technical requirements from various gaming-related sectors into Machine Learning specifications.

β€’ Demonstrate sound judgment in determining when to utilize pre-existing commercial solutions, adapt open-source solutions, or launch new applied science research initiatives based on product requirements.


⛳️ Requirements

β€’ Demonstrated experience as an Engineering Manager within a client-facing AI/ML team, possessing a consulting-oriented mindset.

β€’ Previous experience in fields with intricate multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace.

β€’ Experience leading a team of approximately 10 direct reports, establishing efficient workflows, and fostering high performance.

β€’ Exceptional attention to detail and a conscientious approach to work.

β€’ Capability to interpret customer requests and transform them into actionable technical requirement documents in partnership with ML engineers.

β€’ Proficiency with the complete machine learning lifecycle, including data infrastructure, training, and deployment.

β€’ Preferred background in visual computing, game engines, and real-time 3D rendering.

β€’ Preferred familiarity with Python, Git, PyTorch, and the Unix shell.

β€’ Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, an experiment tracking framework, and a data dashboard.

β€’ Nice to have: Experience with Adaptive or Lean methodologies.

β€’ Agile or Scrum certifications are a plus.

β€’ Familiarity with AWS and ETL orchestration is advantageous.

β€’ Graduate degree in Artificial Intelligence, Machine Learning, Data Science, Visual Computing, or a related field is required.


🏝️ Benefits

β€’ Medical, dental, and vision insurance

β€’ 401(k)

β€’ Paid leave

β€’ Tuition reimbursement

β€’ A variety of other discounts and perks

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