Top Machine Learning Jobs in Baltimore, MD

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Design, prototype, and deploy production-ready AI products using ML and generative AI. Lead cross-functional teams, collaborate with stakeholders to solve workflow problems, build scalable prototypes and proofs-of-concept, and apply latest ML/GenAI research techniques.

Lead product strategy for AI-driven security operations, defining the vision and roadmap for agentic workflows, collaborating with teams, and measuring success metrics.

The Lead Bioinformatics AI Scientist will lead AI and GenAI R&D initiatives to develop advanced clinical testing and genomic data analysis platforms, leveraging expertise in bioinformatics and machine learning.

The Director of Product Management will oversee the product lifecycle for AI products, focusing on customer collaboration, rapid prototyping, and product strategy. The role involves leading product teams, driving execution, and shaping the product culture.

The VP of Marketing will lead the marketing ecosystem to drive growth, define competitive advantages, influence product design, and mentor a diverse team towards a mission-driven culture.

The SVP of AI Innovation - Web Scraping will lead the development of AI-driven web scraping strategies, focusing on data acquisition, technology enablement, compliance, team building, and cross-functional collaboration for new data services.

The Product Manager will identify process improvements and innovations, utilize automation and AI, and manage the product lifecycle to enhance productivity and deliver business value.

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

Lead the development of a new product area focused on improving onsite customer experiences using AI and machine learning to optimize marketing conversions. Oversee product strategy, measure performance, and collaborate with teams to ensure successful product launches.

The Customer Success Manager drives the adoption of AI solutions in life sciences by managing implementations, developing customer satisfaction strategies, and serving as a trusted advisor.

As a Staff ML Research Engineer, you will develop and optimize ML algorithms for drug discovery, transitioning high-impact prototypes into robust products and managing software development across the lifecycle.

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 Reservoir Engineer will support development optimization, production forecasting, and data-driven decision making to maximize asset value.

The Engineering Manager will lead a multidisciplinary team focusing on machine learning solutions for fraud detection, ensuring system accuracy and performance while driving innovation and collaboration across departments.

The Senior Generative AI Engineer will design and deploy AI/ML solutions, focusing on Generative AI systems and their operational excellence across various sectors like R&D and Clinical Trials.

Draft and prosecute U.S. and international patent applications, focusing on electrical, mechanical technologies, and software. Work remotely with flexible arrangements.

The Patent Agent drafts and prosecutes U.S. and international patent applications, working primarily in software and AI technologies with a focus on high-volume technical areas.

The Principal Solution Architect leads the design and delivery of enterprise-scale technology solutions, ensuring alignment with business objectives and driving innovation in cloud and AI initiatives.

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.

The Senior Systems Engineer will develop data engineering solutions, manage data transformation routines, and implement systems engineering practices across complex projects. Candidates must possess a TS/SCI clearance and extensive experience in systems engineering and data management technologies.

The Principal Systems Engineer is responsible for leading system requirements analysis, guiding development activities, interfacing with customers, and ensuring the technical integrity of systems engineering work products in an Agile environment.

The Senior Analytics Engineer will develop and maintain analytic solutions processing large data volumes, requiring a TS/SCI clearance and substantial software engineering experience.

GliaCell seeks a Principal Software Engineer to provide technical expertise on a government contract, supporting critical software and systems. Key responsibilities include working independently and with teams, leveraging extensive software engineering experience.

The Data Scientist will develop AI models, analyze data using algorithms, and provide insights to support engineering solutions.