Top Senior Machine Learning Jobs

The Senior Engineer will innovate and develop AI/ML solutions using Java to enhance customer experiences and exceed expectations.

The Principal Machine Learning Engineer will lead the development of AI/ML solutions to enhance user personalization within Yahoo Mail, mentor teams, and drive innovation while maintaining code quality and engineering standards.

The Staff Machine Learning Engineer at Niche will lead ML initiatives, build and deploy models, measure results, mentor staff, and drive business growth through data-driven solutions.

The Senior Staff Machine Learning Engineer will architect ML systems for search and recommendations, mentor engineers, and collaborate across teams to enhance content discovery on Patreon.

Actifai seeks a Machine Learning Engineer to develop and maintain ML infrastructure, support model deployment, and enhance automation workflows for AI solutions.

As a Senior Machine Learning Engineer, you'll design and build AI systems, manage ML lifecycles, and create recommendation and retrieval systems while collaborating cross-functionally.

The role involves developing AI/ML models to predict organoid growth and optimizing differentiation protocols through computational methods, collaborating with experimental teams.

Lead the development and strategy for machine learning algorithms in search and recommendation systems, focusing on personalization and deployment efficiency.

The role involves developing AI-driven solutions for cybersecurity, focusing on machine learning pipelines, threat detection, and mitigation strategies against sophisticated cyber threats.

Lead AI and machine learning projects, create workflows and models, analyze data from diverse sources, and present insights to non-technical audiences.

Seeking a Founding ML Engineer to design, develop, and deploy AI models for healthcare applications, improving clinical decision-making while ensuring compliance and system integration.

The Senior Staff Machine Learning Scientist will drive AI-driven solutions, develop ML frameworks for recommendations, and lead technical direction for personalized customer experiences.

Develop custom models and algorithms for large datasets, collaborate with stakeholders to leverage data for business decisions, and assess data sources and techniques.

The role involves advancing ML systems, building APIs, mentoring engineers, and ensuring high code quality and engineering practices.

Join DICK'S Sporting Goods as a Senior Machine Learning Engineer, focusing on AI-driven search solutions that enhance decision-making and engagement across the organization.

The Advanced AI/ML Engineer builds and deploys AI systems, mentoring team members, managing projects, and developing machine learning solutions for various applications.

As a founding ML research engineer, you'll design AI-powered engineering systems, implement ML algorithms, and integrate deep learning techniques while collaborating with experts in the field.

The Senior Machine Learning Engineer will manage ML and AI model lifecycles on Databricks, automate deployment pipelines, collaborate with teams, and ensure model performance and compliance.

You will lead the development of machine learning models on Adobe Stock's Content Intelligence team, collaborating to innovate solutions.

As a Senior Machine Learning Engineer on the Perception Mapping team, you'll develop ML models for semantic map detection, integrate them into autonomy systems, and lead technical efforts in model validation and best practices.

Design and develop AI/ML applications, focusing on innovative solutions for federal clients. Collaborate on data pipelines, REST APIs, and cloud deployment, ensuring scalability and reliability.

As a Senior Machine Learning Engineer, you'll design, train, and deploy AI systems, building robust pipelines, refining models, and leading technical discussions.

Design and deploy machine learning models for autonomous vehicles, focusing on data tagging, dataset curation, and model validation.

Design and implement machine learning systems, collaborate with teams, write efficient code, and manage end-to-end machine learning solutions.

The Solutions Architect for AI/ML at Snowflake will advise clients on best practices for Data Science workloads, design solutions, and build ML pipelines. Responsibilities also include working hands-on with SQL and Python, maintaining technical expertise and collaborating with teams to improve products.