Top Tech Jobs & Startup Jobs in NYC, NY

The role involves designing scalable distributed systems using Scala, enhancing feature stores for performance, and collaborating with ML engineers to resolve challenges.

Lead drafting, review, and negotiation of digital advertising and ad-technology agreements (insertion orders, programmatic, measurement, DPAs); provide strategic contractual guidance to internal stakeholders; build templates and processes; train and support legal team; and partner cross-functionally to support ad sales and growth.

Provide commercial and technology legal support by drafting, reviewing, and negotiating SaaS, platform distribution, co-marketing, ad sales, and related agreements. Counsel internal clients, develop templates and processes, manage high-volume complex transactions, and stay current on consumer protection, privacy, and data security laws. Collaborate cross-functionally and assist overflow legal work while balancing business objectives and legal risk.

Lead ML engineering and infrastructure teams to design, build, and scale end-to-end ML systems (recommendation, personalization, ads), architect distributed low-latency serving and streaming platforms, oversee ML pipelines, ensure reliability, observability, cost efficiency, and partner with product and engineering to deliver ML-driven experiences.

Provide transactional legal support for Tubi's ad sales and growth teams: draft, review, and negotiate digital advertising, programmatic, measurement, and data agreements; advise internal stakeholders on risk-balanced business solutions; develop templates and processes; train and collaborate across teams.

The Sr. Lead, Vertical Marketing will develop and execute marketing strategies for key verticals, create compelling content, and collaborate across teams to drive awareness and revenue.

The Staff Software Engineer will design distributed systems, drive architectural direction, mentor engineers, and integrate AI into backend development while ensuring scalability and resilience.

The Machine Learning Engineer will design, develop, and implement advanced recommendation systems, collaborating with cross-functional teams to enhance personalization for a global audience.