Warner Bros. Discovery is looking to solve the problem of accelerating its digital transformation through strategic applications of ML and AI technologies, and democratizing AI at CNN.
Requirements
- 8+ years progressively complex experience designing, building, and shipping products
- 5+ years backend engineering experience with data-heavy applications
- 3+ years of experience with IaC, deployment pipelines, and relational databases
- 5+ years of experience managing engineering teams
- Experience partnering with and / or leading ICs responsible for machine learning model development (data scientists, MLEs, etc.)
- Familiarity with ML specific pipelines and tooling
- Familiarity with experimentation frameworks and A/B testing methodologies
Responsibilities
- Support, coach, mentor, and provide valuable feedback to the individuals you manage to help them excel
- Work with cross-functional partners and stakeholders on activities such as planning, technical strategy, quality and delivery
- Partner with engineers within the team and across the organization to build and integrate machine learning features into our site, apps, and editorial tools
- Lead other engineers on the team by example, code reviews, and coaching, ensuring that code is readable, maintainable, scalable, observable, and resilient
- Champion improvements to developer experience, integrations, and testing processes
- Leverage vended and open-source cloud technologies to reduce maintenance costs and improve efficiencies, ensuring our products remain profitable
- Collaborate with other engineers to develop and enhance core capabilities, infrastructure, and architecture
Other
- Passion for growing engineers through mentorship, talent acquisition, and professional development
- A collaborative mindset, understanding that great results come from teamwork and a positive culture
- Proven success leading complex projects within an engineering team: knowing when to handle issues independently, when to rally the right people for alignment, and when to escalate
- Excellent communication, presentation, and documentation skills
- Bachelor's degree or equivalent experience
