Multi Media, LLC

• Diagnosing, triaging, and leading to resolution issues involving unnecessary renders, long tasks, memory leaks, forced reflows, layout shifts, expensive painting, and excessive JavaScript execution. • Define and improve measurable performance targets using real-user monitoring, Lighthouse, synthetic testing, Chrome DevTools traces, and product-level business metrics. • Establish performance budgets, dashboards, and alerts • Raise the performance capabilities of the broader organization through technical talks, workshops, documentation, mentoring, code reviews, and reusable tooling.

• Build, maintain, and improve production machine learning systems that support search, recommendations, personalization, computer vision, and predictive modeling. • Contribute to search and discovery improvements, including ranking, filtering, relevance, exact match, boolean logic, and LLM-powered enhancements. • Develop and integrate machine learning models that improve recommendation quality, search accuracy, behavioral analytics, and personalized user experiences. • Write clean, reliable, and maintainable code for ML pipelines, model development, experimentation, and production workflows. • Work with large-scale datasets to train, evaluate, monitor, and improve ML systems. • Collaborate with Data Science, Product, Engineering, and other cross-functional partners to understand requirements, evaluate tradeoffs, and deliver ML solutions that create measurable product and business impact. • Participate in technical design discussions for ML systems, including model architecture, data pipelines, evaluation methods, deployment approaches, monitoring, and scalability.

• Lead and develop a small team of engineers responsible for experience optimization systems across personalization, experimentation, audience generation, and content delivery. • Help build and scale the platform that powers personalized, in-session experiences for users across the site. • Create clarity in ambiguous problem spaces by connecting technical constraints, business priorities, and user experience goals. • Coach and mentor engineers on technical decision-making, execution, and career growth.

• Own end-to-end delivery of People initiatives from planning through execution • Translate high-level priorities into clear plans, timelines, and action • Identify risks early and keep work moving without escalation • Track progress across initiatives and ensure deadlines are met • Hold stakeholders accountable and surface blockers proactively • Provide clear, concise updates to leadership • Design workflows and tracking systems that reduce ad hoc communication • Implement SLAs, project tracking, and scalable processes • Leverage tools like ClickUp to create visibility across workstreams • Manage and organize priorities, tasks, and key follow-ups • Act as a central point for incoming requests and prioritization • Draft internal communications and ensure alignment across teams • Partner with People team leaders across HR, L&D, and Recruiting • Ensure alignment and follow-through across functions • Facilitate communication and collaboration across stakeholders

• Drive the evolution of automation frameworks, tooling, and workflows to support a more scalable and effective approach to quality • Expand meaningful automation coverage and improve the quality of signal in CI/CD • Partner cross-functionally to build quality earlier into the development lifecycle • Improve build stability and release confidence through better automation, tooling, and process • Use data to identify gaps, reduce inefficiencies, and strengthen software reliability • Evaluate modern QA tooling, including AI-assisted workflows, and pilot practical new approaches • Lead, develop, and grow a team of SDETs and QA engineers

• Lead complex analyses that answer high-impact business and product questions, using strong statistical thinking, modeling, and sound analytical judgment. • Create clear approaches to ambiguous problems by defining the right methodology, identifying the required data, and delivering actionable insights that drive decision-making. • Assess the business impact of product changes, recommendation systems, experiments, and other strategic initiatives, including ROI, forecasting, and performance measurement. • Work closely with Product, Engineering, and other cross-functional partners to shape priorities, influence decision-making, and communicate findings clearly and compellingly. • Mentor other analysts through technical guidance, collaboration, and shared best practices that raise the quality of analytics across the team.

• Looking for Software Engineers to join our growing teams creating user-facing features. • Passionate about crafting incredible user experiences. • Thrive in a collaborative environment. • Work on technologies like Python on the backend and React on the frontend.

• Write test cases for manual testing, and test them with others on the QA team simultaneously • Review code changes to understand what needs to be tested • Be self-driven to pick up the skills necessary to keep up with technology changes • Identify opportunities for testing tools and implementing those ideas

• Build and improve the UI for a web video player and related frontend components • Optimize startup time, latency, and playback quality across browsers/devices • Partner with backend and infrastructure teams to diagnose and resolve streaming issues

• Own and define the long-term strategy and roadmap for our Data Platform, ensuring it supports personalization, experimentation, and analytics at scale. • Establish and uphold standards for data quality, governance, reliability, and platform performance. • Lead, mentor, and grow a high-performing team of data and analytics engineers. • Drive clear prioritization across stakeholder requests while protecting foundational platform investments. • Work closely with Product, ML, and Analytics teams to ensure the platform delivers trusted, well-defined, and accessible data that meets their evolving use cases. • Continuously evaluate our data stack and infrastructure, recommending concrete improvements to architecture, tooling, and workflows to keep the platform scalable, reliable, and cost-efficient.