Top Tech Jobs & Startup Jobs in Boston, MA

Lead and oversee full stack applications for Yahoo Search, ensuring architectural integrity and code quality while mentoring engineers and collaborating with cross-functional teams.

Lead the architectural development and migration of Yahoo Mail infrastructure to Google Cloud, collaborating with teams to define requirements, optimize solutions, and ensure alignment with business objectives and standards.

As a Senior Machine Learning Engineer, you'll develop and optimize ML systems, implement pipelines, and collaborate with cross-functional teams to enhance Yahoo's data capabilities.

Develop and optimize machine learning systems for Yahoo News, collaborate with teams to enhance user experience and editorial tools.

Lead and scale Yahoo Games engineering: manage full‑stack platform and game teams, drive technical direction and execution, own integrations with third‑party partners, ensure reliability and delivery, hire and develop engineers, and collaborate with Product, Design, QA, and stakeholders to deliver games and platform features.

The role involves designing and building data pipelines, improving data infrastructure for machine learning, and enabling analytics insights and product features at scale.

As a Senior Principal Data Scientist, lead the application of machine learning and AI for ad measurement, optimizing advertiser outcomes through complex model and pipeline development, experimentation, and reinforcement learning systems.

Lead modernization of CI/CD processes by migrating pipelines to GitHub Actions. Develop AI automation for migration and governance, ensuring best practices in platform tooling and developer experience.

The role involves developing advanced machine learning and deep learning models for personalization and user modeling in large-scale systems, collaborating with teams, and driving business impact through innovative algorithms.

Design, build, and own platform services and infrastructure in AWS/GCP. Implement event-driven data pipelines and workflow orchestration, ensure reliable production operations, apply IaC and CI/CD, monitor systems, manage APIs, and collaborate with product and engineering teams to deliver self-service capabilities.