Multi Media, LLC

• 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.

About us: Multi Media LLC is a leader in digital innovation, focusing on creating modern products for the content creator community. Our main platform, Chaturbate, is a key player in the adult entertainment industry, bringing billions of people together worldwide. We aim to make Chaturbate the best place for users and creators to interact and connect, offering a safe, creative, and engaging space for everyone. We’re looking for an Engineering Manager to lead our data platform team and evolve our data ecosystem to reliably support personalization, experimentation, and analytics at scale. In this role, you will actively shape the mission and vision of the modern data platform and partner closely with Engineering, Product, Data Science, Machine Learning, Analytics, and Security to balance incoming business needs with long-term platform investments. As a people manager, you’ll oversee the team of data and analytics engineers, ensuring their professional growth, providing technical guidance, and fostering a culture of ownership, accountability, and high engineering standards. What you’ll do in particular:  - 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.