Top Remote Machine Learning Jobs in Baltimore, MD

As a Senior Product Manager in Risk Enablement at Coinbase, you'll define strategies, prioritize roadmaps, and lead cross-functional teams to develop scalable risk management systems, ensuring compliance and enhancing customer security.

The AI Solution Engineer will architect and deliver AI solutions, lead technical discussions, and develop proof-of-concepts for customers, focusing on pre-sales engagements to demonstrate AI capabilities.

The Principal ML Engineer will define the technical vision for personalization at Launch Potato, architecting ML systems, solving complex challenges, and leading cross-functional initiatives to enhance business KPIs.

The Principal ML Engineer will establish personalization strategies, solve complex ML challenges, design advanced ML solutions, and mentor engineering teams. Responsible for influencing architecture and driving impact across the company.

The Principal Machine Learning Engineer will define and oversee the personalization strategy, solving ML challenges and leading cross-functional initiatives while mentoring teams and influencing architecture.

The Principal Machine Learning Engineer will define the ML strategy for personalization, solve complex challenges, mentor engineers, and drive product impact with innovative solutions.

As a Principal ML Engineer, you will design personalization architecture, solve technical challenges, mentor engineers, and represent the company in the ML community.

Lead a team of ML engineers to develop personalization systems, improving model quality and system reliability while mentoring team members.

Lead a team of ML engineers to build personalization systems while balancing technical work and leadership. Ensure model quality and system reliability, partnering with various teams.

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

As a Senior Forward-Deployed Engineer, you'll integrate solutions for customers, design technical architectures, debug issues, and contribute to product development with a focus on customer success.

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

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

As a Staff Machine Learning Engineer, you will lead the design, implementation, and optimization of machine learning models, collaborate cross-functionally, and drive AI strategy to enhance SailPoint's identity security solutions.

Lead the AI transformation at Unanet, developing strategies, governance frameworks, and overseeing AI solution implementation for business efficiency.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The AI Product Sales Manager drives sales in AI products through strategic planning, managing sales pipelines, and collaborating with partners and teams to exceed quotas.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The AI Transformation Consultant will manage AI-driven transformation projects, conduct stakeholder workshops, perform analyses, and document findings while communicating effectively with stakeholders.

The role involves designing, developing, and deploying machine learning models for healthcare applications, collaborating with cross-functional teams, and optimizing model performance.

Lead the development of ML-powered personalization systems, managing a team of engineers and ML practitioners to drive technical roadmap and collaboration for effective borrower experiences.

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

As a PhD Systems & AI/ML Research Intern, you'll work on infrastructure problems, build prototypes, run benchmarks, and document findings.