8 Ranking Algorithms Jobs

Who We Are Ema is building the next generation of AI solutions to transform enterprise productivity by automating document-intensive workflows across industries. Whether it's drafting custom documents, automating search and extraction, or enabling reasoning over complex document workflows (such as RFPs, prospectuses, or auditing processes), our AI -powered solutions are redefining how businesses approach repetitive tasks. Founded by seasoned leaders from Google, Coinbase, and Okta, Ema is a stealth-mode startup, backed by top-tier investors and based in Silicon Valley and Bangalore. Role Overview & Key Responsibilities This is a high-leverage leadership role that spans architecture, executio...

As a Senior Engineering Manager, Machine Learning at Adobe, your role involves leading a high-impact team dedicated to building and deploying brand-new ML solutions. You will guide the team through the full lifecycle of machine learning projects, collaborate with various teams to innovate custom products, and contribute to the ML strategy on the Genuine Engineering team. **Key Responsibilities:** - Lead, mentor, and grow a team of ML engineers to develop and deploy pioneering ML models. - Own the end-to-end execution of ML projects, from research and prototyping to production deployment. - Collaborate with product teams to identify AI/ML opportunities and define technical roadmaps. - Ensure ...

As the Founding Principal ML Engineer/ML Scientist at a venture-backed, stealth-stage technology company focusing on next-gen matchmaking and relationship platforms, your role is crucial in designing and deploying core recommendation and personalization systems for the matchmaking experience. You will be responsible for owning and developing matchmaking, recommendation, ranking, and personalization systems. Your key responsibilities include: - Own and develop match-making, recommendation, ranking, and personalization systems. - Create a real-time adaptive matchmaking engine that learns from user interactions and signals. - Design ranking and recommendation algorithms to curate each user's fe...

Role Overview: You will have the opportunity to contribute to AI research that directly impacts the lives of billions of humans. Your responsibilities will include working on strategic workloads like M365 Copilot App, Outlook, Teams, Copilot Extensibility, and all productivity applications in M365. You will be part of a team that obsesses about powering workloads with AI and innovates on next-generation engineering infrastructure and tooling using AI. As a member of the team of Principal Applied Scientists, you will collaborate with other teams across Microsoft, lead feature crews, and embrace rapidly evolving innovations in the field. Key Responsibilities: - Master a broad area of research,...

Who We Are Ema is building the next generation of AI solutions to transform enterprise productivity by automating document-intensive workflows across industries. Whether its drafting custom documents, automating search and extraction, or enabling reasoning over complex document workflows (such as RFPs, prospectuses, or auditing processes), our AI-powered solutions are redefining how businesses approach repetitive tasks. Founded by seasoned leaders from Google, Coinbase, and Okta, Ema is a stealth-mode startup, backed by top-tier investors and based in Silicon Valley and Bangalore. Role Overview & Key Responsibilities This is a high-leverage leadership role that spans architecture, execution,...

As the founding ML Scientist, you will be responsible for designing and deploying the core recommendation and personalization systems that drive our matchmaking experience. Your role will involve owning the entire lifecycle - from the initial design phase to deployment - while establishing a robust foundation for a scalable, real-time ranking infrastructure. In this position, your key responsibilities will include: - Owning and developing match-making, recommendation, ranking, and personalization systems. - Working on building a real-time adaptive matchmaking engine that can learn from user interactions and various signals. - Designing ranking and recommendation algorithms to create a person...

As the Founding Principal ML Engineer/ML Scientist at an early-stage, US-based venture-backed technology company in Gurgaon, you will have the opportunity to play a pivotal role in creating innovative platforms for building meaningful relationships. The company's focus is on leveraging artificial intelligence to transform how people connect, foster community engagement, and deliver tailored content. Rather than developing another traditional social app, the company aims to craft a unique experience that deeply resonates with users, making them feel truly understood. Central to the platform is a dynamic, machine-learning-powered recommendation system inspired by leading music and video platfo...

As an ML Engineer at an early-stage, US-based venture-backed technology company in Gurgaon, you will be responsible for designing and deploying the core recommendation and personalization systems that power the matchmaking experience. Your role will involve engineering the full lifecycle - from design, R&D, to deployment - while laying the foundation for scalable, real-time ranking infrastructure. You will be developing match-making, recommendation, ranking, and personalization systems. Specifically, you will work on creating a novel real-time adaptive matchmaking engine that learns from user interactions and other signals. Your tasks will also include designing ranking and recommendation al...