Top Machine Learning Jobs

Lead the development of machine learning solutions for video personalization, enhancing user experience through data-driven insights and collaboration across teams. Drive technical strategy in building scalable systems and partnerships to innovate customer recommendations.

Seeking a Senior AI/ML Engineer with expertise in machine learning frameworks to support a U.S. Government customer on critical software systems.

Develop and optimize machine learning models and workflows to enhance insurance processes. Collaborate on model integration, monitoring, and improvement while driving innovation in modeling techniques.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

Develop and improve machine learning models for Pinterest's various product surfaces, utilizing deep learning and advanced data processing.

Develop and execute ML technology stack vision for Ads, improve ML models, and enhance content understanding using LLMs in a collaborative environment.

As a Principal Machine Learning Scientist, you will conduct research, analyze data, develop models, and lead projects to implement innovative solutions in real estate.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

The internship focuses on developing analytics and AI/ML applications for network problems, involving software development and model lifecycle.

Design, develop, and implement machine learning models and algorithms. Collaborate with cross-functional teams to deploy scalable ML solutions and analyze large datasets for insights.

The Staff Machine Learning Engineer will define quality standards for agentic systems, design evaluation frameworks, analyze production issues, and collaborate with teams to enhance system performance and reliability.

The Principal Software Engineer II will build and maintain machine learning components in Elasticsearch, collaborating with teams, writing scalable code, and owning projects from design to implementation.

Design and develop machine learning and deep learning algorithms, prototype new image processing solutions, and work collaboratively in a team environment.

Develop and execute the vision for Pinterest's ads marketplace, improving backend systems and statistical models to maximize value and drive collaboration across teams.

As an AI Developer Intern, you will analyze data, train machine learning models, create dashboards, and support operations with AI-driven insights.

Lead end-to-end AI/ML projects: research, prototype, optimize, and productionize ML and LLM solutions for healthcare. Mentor and recruit teams, run experiments and A/B tests, present results to leadership, and pursue AI research and IP.

Develop and evaluate novel AI/ML solutions for healthcare using structured and unstructured data. Build deep learning and classical ML models, design experiments, analyze results, document models, collaborate on MLOps pipelines, and ensure responsible AI compliance with stakeholders.

Lead development of AI/ML solutions for healthcare using structured and unstructured data. Build and test deep learning and classical ML models, design experiments, perform statistical analysis and visualizations, ensure responsible AI compliance, produce documentation/patents/publications, and collaborate on MLOps pipelines and stakeholder integrations.

Lead AI/ML engineering to design, build, and deploy predictive models and reusable ML platforms. Mentor scientists and engineers, collaborate cross-functionally, ensure responsible AI compliance, and publish or patent novel methods. Drive adoption of GenAI/LLM solutions and production-grade pipelines for healthcare use cases.

Design, develop, and deploy production-grade AI/ML models and pipelines (LLMs, RAG, Transformers). Work with agentic frameworks, scale training/inference on Databricks/PySpark, integrate solutions via Docker and REST APIs, leverage cloud services (Azure/AWS), participate in AI governance, and mentor junior engineers to deliver measurable pharmacy optimization outcomes.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

As a Machine Learning Engineer II, you will design, implement, and maintain machine learning models, optimize workflows, and collaborate with cross-functional teams to deploy ML systems.

Lead the design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

The Machine Learning Engineer will design, develop, and deploy scalable machine learning models, collaborate on ML solutions, and communicate insights effectively to stakeholders.