Top Tech Jobs & Startup Jobs

Operate and troubleshoot GPU-based generative AI inference workflows for image, video, audio, and multimodal projects. Prepare and validate inputs, tune parameters, debug runs, maintain reproducible launch workflows, partner with researchers and creatives, own quality control, and improve tooling and automation for production-ready outputs.

Build and operate Tier-0 Pricing, Catalog, and Offers services powering Netflix commerce for 330M members. Design and implement product-facing features and platform infrastructure, solve distributed systems problems (consistency, race conditions, throughput), partner cross-functionally, and own production reliability including on-call incident response.

Provide administrative support to two Corporate Communications directors: manage calendars and travel, coordinate events and vendors, prepare expense reports and executive briefings, consolidate research into memos and presentations, and support team projects and reports.

Lead product development for Live event ad-serving infrastructure, handling unpredictable traffic, yield optimization across direct and programmatic demand, and cross-functional launches. Define metrics, iterate features, and partner with engineering, sales, ad ops, data science, and external partners to enable seamless Live ad delivery and drive advertiser outcomes.

Build, maintain, and evolve a production pipeline connecting Nuke, ShotGrid (Flow), color workflows (ACES/EXR), and ML inference. Implement integrations, Python tooling, environment management (Rez), cross-platform support, rapid prototypes, and documentation while partnering with ML engineers, production, and research to scale and stabilize pipeline workflows for shipped productions.

Manage day-to-day operational performance of advertising campaigns across the UCAN market. Oversee campaign readiness, launch, pacing, optimization, billing, and reconciliation across Direct IO, programmatic and PMP deal types. Collaborate with sales, account management, Ad Ops Solutions, and vendors, analyze market-level campaign data, improve processes, and support tool and automation rollouts.

Lead budgeting, forecasting, long-range planning, and management reporting for Netflix Games. Provide financial analyses, build dashboards and models, identify risks/opportunities, present recommendations to senior leaders, and standardize/automate reporting and workflows.

Lead a multidisciplinary data science and engineering team to build automated, production ML and agentic systems for content ingestion, launch, and distribution. Set technical vision and standards, drive cross-functional roadmaps, mentor and grow talent, and ensure measurable business impact through rigorous evaluation and execution.

Design and build scalable training and inference systems for LLMs and multimodal/media models. Optimize end-to-end training (data pipelines, distributed training, mixed precision) and inference (KV cache, batching, quantization). Scale models into production, lead efficiency initiatives, and mentor engineers and scientists to improve latency, scalability, and reliability.

Design, build, deploy, and operate internal employee-facing products and integrations. Lead significant projects end-to-end, apply GenAI/LLMs to features, make architectural decisions, improve system reliability and maintainability, and mentor other engineers.