Top Machine Learning Jobs

This role focuses on developing AI/ML algorithms for various applications, requires teamwork with developers and researchers, and involves analyzing datasets and deploying ML models.

The AI/ML Engineer will design, develop, and implement scalable AI solutions for a DoD client, requiring expertise in AI/ML technologies and integration with existing systems.

The Senior Engineer, Machine Learning develops audio and vision models for edge devices, collaborating with teams to implement and optimize ML solutions.

As a Senior Machine Learning Engineer, you will develop and optimize AI-powered features, enhancing insights from diverse data types using advanced ML and NLP techniques.

Lead the Machine Learning strategy at Gather AI, focusing on computer vision, building teams, and enhancing ML systems for warehouse intelligence.

The Senior AI/ML Engineer will develop and improve analytical tools, approaches, and architecture for scalable AI and machine learning solutions, collaborating with engineers and data scientists on innovative projects.

As an ML Engineer II, you will develop manipulation systems for mobile robots, building models, training datasets, and deployment pipelines for improved robot interactions in dynamic environments.

The ML Engineer II will develop navigation models, implement learning pipelines, refine behavior using RL, and analyze performance to enhance robot functionality in healthcare environments.

As a Machine Learning Engineer at Nextdoor, you'll develop ML-driven products, run experiments, collaborate with teams, and promote community engagement.

As a ML Engineer at Wispr, you will design features for a voice interface, optimize ML inference, and scale personalization of speech models.

The Machine Learning Performance Engineer will build training and inference pipelines, enhance deep learning frameworks, improve performance, and collaborate with researchers and engineers to optimize trading systems.

The Machine Learning Engineer will support research and implementation of algorithms for simulations, develop ML models, and mentor teams while using modern tech practices in an agile environment.

The Principal Analytics & ML Engineer will architect scalable analytics and ML solutions, build data models and pipelines, and mentor teams on best practices. Responsibilities include developing analytical models, collaborating across teams, and driving impactful analytics projects.

Develop and productionize ML models for assessing autonomous vehicle behavior, build ML infrastructure, and collaborate across teams for deployment.

Lead and mentor ML engineers and data scientists, overseeing ML strategy and development of scalable models for healthcare applications.

Design, train, and deploy machine learning models for detecting malicious content, working with large datasets and collaborating with teams to enhance system scalability.

The AI Intern supports Hoosier Energy in leveraging artificial intelligence for efficiency by developing AI models, preparing datasets, and ensuring compliance with data governance.

As a Machine Learning Intern, you'll design and optimize models, analyze datasets, and collaborate with teams to integrate AI solutions into production.

As a Machine Learning Intern at Xometry, you'll design, build, and optimize machine learning models, analyze datasets, and collaborate with teams to integrate models into production systems.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

The Principal AI/Machine Learning Engineer will lead the adoption of AI/ML in manufacturing by defining use cases, driving implementation, and ensuring organizational readiness.

Train personalized ML models, create synthetic data pipelines, evaluate model quality, and develop safeguards for AI privacy and misuse.

Develop and deploy machine learning models for national security challenges. Responsibilities include algorithm development, model training, deployment, and collaboration with teams for effective ML solutions.

The Machine Learning Engineer will conduct data analysis, develop ML applications, manage data transformations, and support API and ETL implementations.

The Principal Applied ML Researcher will define ML and LLM strategies for Trase OS, lead technical breakthroughs, manage the research-to-production lifecycle, and ensure reliable systems deployment in regulated environments.