Top Machine Learning Jobs in Baltimore, MD

The Senior Engineering Manager at Planet leads the engineering team, focusing on delivering products for Defense Intelligence. Responsibilities include mentoring engineers, refining processes, and collaborating across teams for effective deployment of technology.

As a Research Intern, you will prototype and productionize research in AI and cryptographic schemes, collaborating with teams for real-world impact.

Lead technical engagement across pre-sales, deployment, and post-sales for on-premises quantum systems. Drive customer success, inform product development, support sales with deep HPC/AI/optimization expertise, present at industry events, and translate customer needs into deployment strategies and R&D feedback.

The role involves building end-to-end modeling pipelines, developing models, delivering insights to stakeholders, and collaborating with a technical team in a fast-paced environment.

Lead enterprise data architecture and modeling efforts, guide data federation and authoritative sources, collaborate with analytics and implementation teams, and design and implement scalable data solutions while ensuring best practices and stakeholder communication.

The AI SME provides expertise in AI and machine learning for training programs, ensuring content accuracy and alignment with mission needs.

As a Software Developer Intern, you will develop software solutions in an agile environment while collaborating with a dynamic team, focusing on backend and frontend engineering, and applying AI and machine learning.

The Senior Product Manager will lead the integration of airline and third-party partners, optimize supply metrics, and leverage AI for automation. Responsibilities include managing APIs, collaborating with engineering, and improving the booking experience.

The Principal AI Forward Deployed Engineer drives AI adoption and implementation at enterprise accounts, advising senior finance stakeholders and managing AI use cases and change management strategies.

The Senior AI Engineer role involves deploying AI solutions to extract structured data from medical charts, improving efficiency and ensuring compliance. Responsibilities include developing AI extraction pipelines, maintaining AI model production, and collaborating with cross-functional teams to integrate AI solutions into healthcare systems.

The Enterprise Account Executive will drive revenue growth by managing complex sales cycles, closing deals with Fortune 500 companies, and understanding both technical and business needs.

The role involves acting as a technical advisor for clients, driving product adoption and implementation of the Moloco Commerce Media platform, providing training, and collaborating with teams to enhance solutions based on client feedback.

Lead a team to enhance Cengage Learning Platforms by implementing AI-first strategies, improving software delivery processes, and ensuring product quality.

The Embedded ABM Manager will execute account-specific marketing plans, develop technical fluency in the platform, engage stakeholders, and refine ecosystem intelligence to optimize sales processes.

Lead the development of AI-powered tools and products, manage product roadmaps, collaborate cross-functionally, and drive innovation in media and advertising.

Co-found and lead a stealth startup building an agentic AI platform embedded in CAD tools to automate geometry updates, feature-tree edits, and cross-tool workflows. Drive product, engineering, and commercial strategy, hire the founding team, and develop a defensible data capture and automation stack for industrial CAD workflows.

Lead end-to-end design and registration of agricultural soil carbon projects, interpret and implement VCS methodologies, design soil carbon sampling and GHG measurement strategies, prepare and defend project documentation, embed methodological rigor into products and processes, train staff, advise leadership on risk and strategy, and represent Perennial in registries and industry forums.

Lead the strategic direction of data science at Mission Lane, innovating machine learning applications and managing a high-performing team to enhance financial outcomes.

Lead the advancement of embedding-based retrieval systems, focusing on multimodal models, model performance, and extensibility for various use cases.

The VP of Client Development will lead InMobi's growth strategy within the OEM and Telco sectors, establishing executive partnerships, joint business plans, and aligning product innovation to maximize market opportunities. The role requires extensive experience in enterprise partnerships and strategic business development with global technology leaders.

The Technical Product Manager will define roadmaps for an AI Platform, manage ML systems, partner with engineers, and improve healthcare outcomes.

The Research & Development Clinical Pathologist will collaborate on innovative solutions in veterinary medicine, leveraging technology and clinical pathology expertise.

The Manager, Growth Analytics & Marketing Science will build and evolve marketing measurement frameworks, drive analytics, and optimize marketing strategies through data and AI.

Design, build, and maintain forecasting and portfolio optimization models for U.S. power markets; analyze market outcomes, track supply/demand/congestion dynamics, and apply statistical, optimization, and ML methods to inform commercial decisions.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.