Top Machine Learning Engineer Jobs

The Senior Engineer will develop scalable machine learning models, partner with data scientists, and improve business performance through AI technologies.

The Senior Machine Learning Engineer will develop, deploy, and optimize large language models on healthcare data, collaborate with teams, and ensure compliance.

The Principal Engineer, ML leads the technical direction for VLA models in Automated Driving and oversees architectural decisions, model development, and evaluation strategies, partnering with data and platform teams to enhance system performance.

The Staff Engineer, Machine Learning leads the development of end-to-end driving models for autonomous driving, focusing on reinforcement learning and multi-modal sensor data integration. They collaborate with various engineering teams to ensure robust model deployment and validation in real-world scenarios.

This role involves improving AI and ML infrastructure for researchers by identifying bottlenecks, optimizing performance, and collaborating with diverse teams.

The role focuses on educating ML practitioners on leveraging Hugging Face Cloud solutions by driving visibility through technical content, public speaking, and partnerships with strategic cloud providers.

Join the AI team to build automation features in AI/ML, owning projects from concept to integration, and collaborating with leadership.

Responsible for architecting high-performance machine learning silicon, collaborating with software and design engineers, and driving innovation in AI hardware solutions.

As a Founding Engineer, you'll manage the lifecycle of AI systems, optimizing performance and developing pipelines for biopharma marketing.

The role involves designing and deploying AI/ML models, collaborating with stakeholders, and enhancing operational efficiency through innovative solutions.

Design and implement AI-powered solutions for document extraction and financial reasoning, focusing on ML pipelines and application of LLMs.

Build and improve AI/ML systems and data pipelines for a B2B SaaS platform; shape product and technical strategy; work with customers; mentor team members; ensure secure, robust, and scalable infrastructure.

Lead design, implementation, and productionization of the platform's ML memory layer and LLM strategies. Build and operate training, fine-tuning, inference, monitoring, and deployment pipelines; collaborate cross-functionally to ensure scalable, reliable ML systems that improve with data and integrate deeply into product workflows.

Join ComfyUI to optimize model inference and build a core engine for AI models, ensuring efficiency and performance in visual AI workflows.

As a Senior Software Engineer, you'll develop machine learning models and software applications, translating technical requirements into solutions while ensuring excellence in product delivery.

The Senior Machine Learning Engineer will enhance AI capabilities for defense applications, collaborate on ML models, optimize data processing, and ensure security in high-stakes environments.