Top Machine Learning Jobs in Baltimore, MD

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

Support Offensive Cyberspace Operational Planning for USCYBERCOM operations, develop plans, and coordinate cyber capabilities. Engage with operational teams and enhance situational awareness.

The role involves providing expertise in Cyber Operations at a Joint Operations Center, developing SOPs, maintaining situational awareness, and facilitating communication and reporting for operational effectiveness.

The Principle Prototype Project Manager oversees AI/ML projects, collaborates with stakeholders, manages multiple projects using Agile methodologies, and develops innovative analytics solutions.

The Target Digital Network Analyst analyzes data to generate insights, supports intelligence missions, and enhances target information through collaboration and analytical techniques.

The role involves optimizing ML infrastructure, developing low-latency streaming pipelines, and building tools for data quality in ML models at Coinbase.

As a Staff Machine Learning Engineer, you'll lead the development of advanced AI/ML models for risk detection, mentor team members, and collaborate across teams to enhance security against fraud and scams.

The Machine Learning Engineer will develop ML models to mitigate risks, enhance core models, and maintain real-time prediction systems, focusing on modeling and collaboration.

The Senior Machine Learning Engineer will lead risk domain ownership and build ML systems to combat fraud and enhance user security at Coinbase.

Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.

The Senior Data Scientist will develop scalable ML models, analyze large datasets for insights, and collaborate with teams to enhance business performance through data-driven solutions.

The Principal Product Manager will lead data initiatives, defining the roadmap for a comprehensive platform, establishing KPI metrics, and collaborating across teams to enhance data-driven decision-making within the automotive sector.

Lead and mentor a team in building ML pipelines and AI solutions, oversee data projects, and collaborate with cross-functional teams for impactful insights.

The Senior Staff Technical Program Manager will lead Search Relevance & Personalization initiatives, collaborating with engineering teams to enhance data-driven decision-making and improve search functionality across the Airbnb platform.

Lead the design and implementation of advanced ML systems at Airbnb, mentoring engineers and shaping concepts into impactful products.

The Enrollment Advisor helps prospective patients through the onboarding process, providing information and support throughout their enrollment in Revero's program.

Lead the evaluation and optimization of large-scale datasets for AI training, ensuring data quality and collaborating with research teams.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

Lead the Measurement Modeling team to develop machine learning solutions for advertising effectiveness, focusing on model design, optimization, and team development.

The Staff Product Manager will drive the vision and strategy for Reddit's Ad Recommendations, collaborating across teams to optimize advertising solutions and enhance monetization efforts.

Lead the Auto-Bidding team's technical vision, optimize recommendation and forecasting systems, mentor a high-performing engineering team, and drive technical projects in ad technology.

Lead the Paid Media division by driving strategy, managing campaigns, and mentoring a team of specialists, while fostering client relationships and integrating AI-driven data solutions.

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

Responsible for overseeing content safety initiatives, collaborating with engineering teams, and producing product strategies to enhance user safety on the platform.

Lead a team of Machine Learning engineers, drive technical direction, oversee large-scale ML systems and improve user experience for over 500M users.