Top Machine Learning Jobs in Baltimore, MD

The Staff Data Scientist will lead studies using real-world healthcare data to drive drug discovery, collaborating with cross-functional teams and generating patient-centered insights.

The Curriculum and Content Strategy Lead develops AI and data-focused educational content, oversees curriculum strategy, and collaborates with stakeholders to enhance learning outcomes and drive product development.

The Senior Software Engineer will design and build infrastructure for ML model training and deployment, focusing on AWS technologies, reliability, and collaboration with ML teams.

As an ML Engineer, you will design and manage ML pipelines, collaborate on privacy engineering, and implement MLOps practices, ensuring robust and scalable infrastructure.

The Machine Learning Engineer will create algorithms for automated processes, collaborate on data pipelines, analyze data sets, and improve machine learning solutions.

The role involves developing and enhancing software systems with a focus on machine learning and cloud technologies, requiring experience in Python, Docker, and AWS.

Lead computer vision projects and develop ML models for power grid analysis while mentoring engineers and ensuring software quality standards.

Lead the development and implementation of ML/AI solutions for AML and Financial Crime, collaborating with teams to optimize workflows and ensure compliance.

The Principal Machine Learning Engineer will improve diffusion models, conduct research, implement techniques, and collaborate on production-ready systems in AI for fashion.

The Data Scientist will develop machine learning models to optimize software build processes, analyzing large datasets and collaborating with teams for improvements.

The Staff ML Ops Engineer builds and maintains infrastructure for ML applications, ensuring they are robust and production-ready, while collaborating with data scientists and ML engineers.

The Staff Software Engineer, AI/ML will design and develop intelligent agents, integrate them with existing systems, optimize performance, and collaborate with product teams, focusing on innovative AI technologies.

As a Staff Platform Manager in Payments Risk, you will define product strategy, oversee risk management capabilities, and collaborate with cross-functional teams to implement fraud detection and dispute resolution products, leveraging AI solutions to enhance platform capabilities.

Lead the AI/ML Defense Platform product management by conceptualizing, developing, and executing foundational models to improve safety and fraud prevention.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

As a Senior Product Manager, you will develop innovative home-capture products, collaborating with various teams to enhance user experiences and market strategies for real estate.

The Principal Software Development Engineer will lead technical projects within the Rich Media group, focusing on scalable solutions and mentoring engineers, to enhance the real estate buying experience using AI and computer vision.

Zillow seeks a Principal Applied Scientist to develop multimodal AI technologies for the real estate industry, focusing on computer vision and natural language processing to enhance the user experience.

Lead and develop a team in creating AI/ML solutions for transforming communications in real estate. Drive strategy and implementation of new Generative AI solutions.

Join Clarity AI's Talent Community by submitting an open application for various roles in product, technology, finance, marketing, or operations to drive positive impact.

Lead the development and execution of a personalization strategy to enhance customer engagement and retention. Manage a team and leverage AI-driven technology to innovate the customer experience across multiple channels while measuring success with KPIs.

The Technical Project Manager will coordinate technical projects related to deep learning frameworks, managing timelines and risks while ensuring client satisfaction. Responsibilities include leading project meetings, collaborating with various stakeholders, and maintaining project quality standards.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

As a Senior to Principal Machine Learning Engineer, you'll lead the architecture and development of the Agentic AI platform, focusing on LLMs. Responsibilities include enhancing LLM performance, designing evaluation methodologies, and establishing safety protocols for LLM use.

The Workday HCM Architect leads the development of HR solutions utilizing Workday AI, Talent Management tools, and enterprise software implementation in collaboration with business and IT partners.