Top Senior Machine Learning Jobs in Baltimore, MD

As a Data Scientist, you'll analyze complex datasets, develop algorithms, and provide insights to solve global issues using machine learning and AI.

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

The Senior Software Engineer will provide technical expertise to sustain critical software and systems for a government contract, utilizing various modern technologies and methodologies.

As a CNO Developer, you will manage Agile projects, perform vulnerability analyses, and leverage advanced programming skills to enhance national security efforts against adversaries.

The Digital Network Exploitation Analyst will support cyber discovery analysis, leveraging SIGINT, malware expertise, and AI for threat detection.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Lead Offensive Cyberspace Operations planning for USCYBERCOM, integrating cyber capabilities and developing foundational operational documents within a collaborative environment.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

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.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

Design and implement the core Risk platform architecture, manage projects, mentor team members, and write high quality code for Coinbase products.

Lead and scale Zapier's AI/ML organization by defining strategy, delivering ML products and platforms, coaching teams, enabling product partners, and ensuring safe, reliable, cost-effective model deployment and operations.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.

The Senior Industry Marketing Manager will drive marketing strategy for AI/ML, develop initiatives, create content, and collaborate with sales teams.

Seeking a Mid-Level Software Engineer with expertise in software development and systems for a U.S. Government customer, focusing on technical support of mission-critical software.

The Systems Engineer will support a U.S. Government customer, providing technical expertise in sustaining mission-related software and systems, focusing on cloud architecture and AI/ML system design.

Lead development of CNO capabilities across full project lifecycles: drive exploit development and Linux kernel exploitation, mentor teams, design secure and resilient solutions, leverage AI/ML, and deliver operational proof-of-concept exploits for clients in a fast-paced, agile environment.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

As a P&C Actuary, you will assess insurance risks, review regulatory compliance, support audit teams, and document findings while nurturing client relationships and contributing to practice development efforts.

The Tech Lead collaborates with machine learning teams to improve AI voice deployment, optimizing performance and stability of services using Python and cloud technologies.

The Senior Software Engineer will work with machine learning teams to deploy AI models, improve performance, and manage production services.

The Senior Software Engineer will enhance AI models, operate core ML workloads, and improve system efficiency, while collaborating with teams to enhance user experience.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.