Top Machine Learning Engineer Jobs

Lead AI-ML and Data Engineering teams for federal clients, managing AI workflows and the machine learning lifecycle using Azure tools, while ensuring compliance and effective stakeholder communication.

The role involves developing ML-based planning algorithms for autonomous trucks, ensuring safety checks, real-time operation, and keeping up with research. Requires strong communication and collaboration.

The Senior/Staff Machine Learning Engineer will design machine learning solutions for robotics, focusing on task planning, model performance, and system integration across various teams.

Develop robotic welding solutions using machine learning and computer vision. Lead algorithm implementation, oversee research, and mentor junior engineers.

The role involves designing machine learning models for ad forecasting, collaborating with teams to enhance systems, and applying AI for innovative solutions.

The Data Scientist/Machine Learning Engineer will enhance product listing quality using ML/AI, working cross-functionally to implement high-performance solutions.

The Staff Machine Learning Engineer will develop and deploy advanced AI models and systems, enhance GenAI capabilities, and collaborate with cross-functional teams.

As a Machine Learning Engineer in Computer Vision, you'll develop AI solutions using advanced algorithms, focusing on image classification, segmentation, and video processing tools.

The ML Engineer will leverage deep learning for natural language processing tasks, impacting Entefy's products while requiring strong machine learning fundamentals and NLP expertise.

The Machine Learning Engineer will develop and improve ML models for product surfaces, build data processing pipelines, and leverage machine learning technologies in advertisements.

The AI/ML Software Engineer will embed models into workflows, collaborating with teams to enhance AI applications and tools, focusing on automation and best practices.

This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

Develop and maintain ML solutions for AR/VR/MR products. Translate sensor capabilities into robust ML models, impacting defense technology.

Develop and implement AI solutions, focusing on machine learning pipelines, algorithms for LLM integration, RESTful APIs, and ensure reliability through testing and debugging.

Seeking a mid-level AI/ML Engineer to design, develop, and deploy machine learning models, manage MLOps practices, and integrate AI into applications for a DoD client. Requires 3-5 years of experience and TS/SCI clearance.

As a Machine Learning Engineer, you'll train, test, deploy, and maintain machine learning models to provide AI solutions for national security, collaborating with cross-functional teams to deliver innovative solutions.

The Senior Staff Machine Learning Engineer will lead the design and implementation of ML systems, leveraging Generative AI and guiding teams to enhance customer experiences and improve decision-making in the Claims organization.

Develop and enhance behavioral models for road users in autonomous vehicles, optimizing perception models to support safe driving decisions.

The Senior Machine Learning Engineer will develop NLP solutions, manage datasets, optimize performance metrics, and work on ML applications for healthcare.

Design, develop, train, and deploy machine learning and deep learning models. Perform feature engineering and data processing, apply supervised/unsupervised/reinforcement techniques, and integrate models into production using CI/CD, containerization, cloud platforms, and MLOps practices.

Design and develop large-scale AI systems for healthcare, focusing on ML infrastructure, real-time analytics, and collaboration with teams. Requires extensive experience in software engineering and AI.

Develop and deploy end-to-end machine learning solutions, collaborate with cross-functional teams, and implement MLOps frameworks while monitoring model performance in production.

Develop and deploy ML-based perception algorithms for robotics, optimize pipelines, and collaborate across disciplines for integration.

The Staff Machine Learning Engineer will research, design, and implement advanced deep learning algorithms for autonomous driving systems, ensuring robust, real-time performance and model optimization.

The role involves developing AI solutions, conducting research, mentoring juniors, and collaborating with teams to implement machine learning algorithms for complex problems.