Top Machine Learning Engineer Jobs

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

As a Senior Machine Learning Engineer, you will drive AI vision, develop models, and collaborate cross-functionally to enhance user experiences.

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.

The role involves developing post-training techniques for improving LLM capabilities, collaborating with teams, and publishing research findings.

The Staff Software Engineer will build and manage machine learning infrastructure focusing on LLMs, oversee DevOps processes, lead technical teams, and collaborate across functions.

Develop and maintain scalable AI-powered SaaS applications. Collaborate with product and design teams to enhance user experience and efficiency.

The Principal AI/ML Platform Engineer leads the development and delivery of ML and GenAI platforms, ensuring scalability, compliance, and performance across various workflows and products, while mentoring the engineering team.

The AI/ML Ops Engineer will build and maintain CI/CD pipelines for AI/ML applications, containerize models, and ensure deployment in cloud environments. Responsibilities include support for data scientists, security integration, documentation, and client relationship development. The role requires an active Secret clearance and professional experience in cloud environments, programming, and CI/CD tools.

Lead architectural design for a scalable ML inference platform, mentor engineers, and drive best practices in MLOps and system performance optimization.

As a Senior Machine Learning Engineer, you'll design and implement large-scale ML systems to enhance ad relevance and performance, mentor engineers, and collaborate with cross-functional teams in Mandarin.

As an ML Infrastructure Engineer, you will build infrastructure for AI development, automate ML workflows, and enhance developer experiences while collaborating with various engineering teams.

The Staff Engineer leads engineering teams, focusing on product life cycle, architecture, design, and quality assurance while mentoring junior staff and enhancing processes.

As a Senior Staff Engineer, you will lead engineering teams, provide technical solutions, mentor junior members, and drive quality in enterprise applications with focus on voice technologies.

The Staff Engineer leads engineering teams to develop high-quality enterprise-class applications, mentoring junior members and ensuring the usability and performance of solutions.

As a Senior Machine Learning Engineer, you'll design and implement deep learning models and robust infrastructures for clinical applications, particularly in computer vision for dental conditions.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

Design and optimize machine learning systems, build scalable data pipelines, and run experiments to improve recommendations for Scribd's products.

Lead the architecture and development of Reddit's ML Feature Platform, overseeing real-time feature store design, team mentorship, and infrastructure optimization.

As a Senior Machine Learning Engineer, you will design, implement, and optimize ML models for ad ranking and bidding, driving value for Reddit's advertisers.

The Training ML Framework Engineer will enhance training throughput in a distributed ML framework, collaborate with researchers, and optimize systems.

Build infrastructure for AI/ML environments, collaborate with teams for improvements, and interact with customers to enhance product features.

Lead the development of AI/ML infrastructure for simulations, optimizing systems for large-scale machine learning models and enhancing realism in autonomous driving.

Lead the development of autonomous vehicle software, collaborate cross-functionally, and mentor team members while improving system performance.

As a Research Engineer, you will collaborate on advancing AI systems through reinforcement learning, while contributing to both research and engineering tasks.

Design, develop, and maintain AI/ML models for processing federal electronic health records, ensuring compliance with healthcare standards and regulations.