Top Machine Learning Jobs in Baltimore, MD

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

The Data Scientist will apply data science and machine learning to support missions, develop software solutions, and enhance data insights.

Seeking an AI Engineer to design, prototype, and integrate AI solutions into existing systems, requiring advanced data analysis and collaboration with cross-functional teams.

The Computer Network Defense Analyst 3 will support the CSD Mission Office by analyzing cyber threats, crafting analytics, and implementing defensive measures using AI and ML.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

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.

Lead Joint Cyberspace Operational planning within USCYBERCOM, providing expert guidance, drafting operational plans, and overseeing integration of cyber capabilities.

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

The Data Scientist will apply machine learning and statistical analysis to support mission analysis, develop analytical tools, and visualize complex datasets for insights.

The Data Scientist will apply AI/ML techniques to optimize workflows in Computer Network Operations, analyze datasets, and develop data-driven solutions. Responsibilities include collaboration, documentation, and adapting to dynamic mission needs.

As a Target Digital Network Analyst, conduct data analysis to generate insights, maintain databases, and collaborate with teams to close intelligence gaps. Must have relevant experience in SIGINT, machine learning, and tradecraft for target development. Shift work required.

The Cyber Operations Lead guides strategic and tactical cyber operations for USCYBERCOM, develops strategies, leads teams, and ensures operational success while managing international relations.

The role involves providing expert guidance in Joint Operational Planning for Cyberspace Operations, overseeing planning documentation, integrating capabilities, and coordinating with USCYBERCOM leadership.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

The Target Digital Network Analyst will conduct advanced data analysis, profile targets, maintain databases, and identify intelligence gaps while collaborating with military and government personnel.

As a Digital Network Exploitation Analyst, you will analyze cybersecurity data, develop exploitation plans, and collaborate with teams to enhance tradecraft and findings.

As a Digital Network Exploitation Analyst, you will analyze and characterize threats, leveraging advanced techniques and technologies for cyber defense.

The Computer Network Defense Analyst will analyze data to identify vulnerabilities, respond to cyber events, and strengthen network defenses. Responsibilities include collaborating with teams, leveraging analytics, and developing mitigations.

The Data Scientist Level 4 develops strategies to extract insights from large datasets, utilizing advanced analytics and machine learning techniques. Responsibilities include statistical analysis, modeling, and effectively communicating findings to non-technical audiences.

As an AI Solution Engineer, you will architect and demonstrate AI solutions, lead technical discussions, and assist customers with AI outcomes in pre-sales engagements.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

The Engineering Manager, Machine Learning will lead a team focusing on 3D deep learning and computer vision, manage the ML roadmap, and implement best practices for MLOps pipelines.

Analyze and assess malware threats for USCYBERCOM, leading forensic analysis, developing technical reports, and collaborating on threat detection and response.