Top Machine Learning Jobs in Baltimore, MD

Lead and optimize revenue management, distribution marketing, and sales for Kasa, developing AI-driven strategies to maximize profitability and improve guest experiences.

Lead a machine learning team focusing on natural language applications in educational measurement, mentor scientists, and drive R&D innovations.

The Visiting Researcher will assist in developing ML models for healthcare applications, including NLP and predictive modeling, under mentorship in a focused research project.

Lead the architecture and development of machine learning chiplet SoCs for robotics, ensuring performance and reliability while meeting safety standards.

As a Senior Sales Director, you'll lead and inspire a team of Enterprise Sales Leaders to achieve ambitious sales goals and manage the sales process from lead generation to closing.

The VP of Product will lead product development and strategy, enhance customer experiences, and manage product lifecycle in a SaaS environment.

The Senior Manager, Data Analytics leads a team of Data Product Managers to deliver insights, AI initiatives, and analytics solutions to support business growth across various departments.

The role involves executing Paid Media strategies, consulting clients, managing campaigns, and utilizing data insights for business growth. Strong communication and relationship-building skills are necessary.

The role involves developing and operationalizing ML and GenAI pipelines, automating model management, collaborating with teams, and mentoring staff.

The Image Processing Engineer develops algorithms to process and evaluate images, correcting optical anomalies and enhancing scientific image data, while leading technical writing and communication efforts.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The Senior Technical Recruiter will source, screen, and select candidates, focusing on Machine Learning and Big Data expertise while collaborating with various teams to enhance recruitment efforts.

Lead the development of generative AI tools for fashion, guiding ML engineers, and implementing innovative AI systems and workflows.

The Senior Product Manager will lead product development for AI and fashion design tools, collaborating with engineers and designers to enhance user experience and drive product strategy.

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

Seeking a Senior Data Scientist to enhance modeling capabilities and deliver insights in decentralized finance through collaboration and innovative research in the crypto space.

The Sales Engineer will drive revenue by crafting cloud data security solutions, managing demos, and consulting with stakeholders while utilizing Cyera's technology.

The Sales Engineer will enhance revenue by addressing client needs, deliver demos, manage resources, and support sales strategies.

Lead product marketing strategies for AI solutions in consumer goods, defining messaging and go-to-market plans while collaborating with cross-functional teams.

Develop and implement large-scale machine learning models to enhance user ad predictions and better understand user interests through data mining and collaboration with product teams.

The AI Product Manager will oversee the development of AI-driven workflows for construction scheduling, focusing on risk prediction and intelligent automation systems. Responsibilities include product strategy, collaborating with teams, and defining success metrics for new features.

The Partner Sales role involves managing partnerships to drive revenue, developing strategic partner plans, and collaborating across teams to achieve sales targets.

Design and build production-grade AI systems, combining ML and LLMs, ensuring performance and reliability while providing technical leadership and mentorship.

The Data Science Actuary role involves building and maintaining rating systems and risk models, conducting analysis for underwriting and operations, and integrating new data sources while collaborating with multiple teams.