Top Machine Learning Jobs

As a Senior Software Engineer, you'll design and develop core systems for a voice AI platform, optimize machine learning pipelines, and support customer deployments.

Lead perception research for autonomous robotics, develop computer vision algorithms, mentor engineers, and improve ML infrastructure for edge devices.

The Principal Engineer - Data Science leads engineering processes, provides technical consultation, and supports project management while mentoring engineers and driving technical innovations.

Research and propose solutions to science problems, collaborate with the engineering team on integrating solutions, and conduct internal science reviews.

The Director of Business Development, Data Solutions is responsible for scaling business, managing key accounts, and building strategic partnerships, focusing on data services and analytics solutions.

Develop, deploy, and enhance machine learning models and services for Netflix's ad platform to optimize ad personalization and scalability, collaborating with cross-functional teams to drive business impact.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

Design and develop innovative deep learning methods for biomolecular design, collaborating with biology teams, prototyping new algorithms, and presenting results.

The Staff Product Engineer will architect and implement features, optimize performance, and collaborate with teams to enhance customer value and support AI integration.

Architect and implement scalable backend services, optimize data processing, and integrate machine learning models while collaborating with sales and customer success teams.

The Senior Product Engineer will design and implement features for web applications, optimize code performance, and collaborate with sales teams, focusing on AI integration.

As a Product Engineer, you will architect and implement features, optimize performance, integrate AI, and collaborate with teams to enhance customer solutions.

Lead engineering teams in developing high-performance systems for trading and model inference. Drive innovation and mentorship while ensuring operational excellence and collaboration with stakeholders.

Design, develop, and maintain algorithms for engineering applications, manage datasets, and implement machine learning workflows in an AI Copilot startup.

Lead the strategy and execution of AI-driven shopping experiences, focusing on agentic AI. Collaborate cross-functionally to enhance user experiences and leverage AI technology for business growth.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

Lead and manage a team to produce ML-based features for creative tools, leverage machine learning systems, and foster team growth.

The Technical Writer will develop, maintain and ensure compliance of technical documentation for cryptographic systems, focusing on diverse audience needs.

The Lead IoT Engineer will innovate IoT-enabled systems, focusing on prototyping, technical guidance, and collaboration across teams to meet connectivity goals.

Lead the strategy and roadmap for AI Voice product, designing products for natural interactions, ensuring execution excellence, and driving consumer engagement.

Research decentralized learning, design incentive mechanisms for community-driven AI, and prototype systems to enhance AI infrastructure.

As a Senior Staff Machine Learning Engineer, you will enhance Coupang's search and discovery systems using advanced algorithms, focusing on information retrieval and recommendation systems, requiring significant industry experience.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

The Principal ML Engineer will lead initiatives in Ads, oversee technology evolution, enhance system designs, and drive execution and collaboration with teams.

Lead cross-functional projects, design scalable systems, mentor team members, and enhance productivity through technical guidance and architecture expertise.