Top Remote Machine Learning Jobs in Washington, DC

Manage global technical support teams for MongoDB, focusing on customer satisfaction through technical issue resolution, performance enhancement, and team development.

As an AI Integration Engineer, you will integrate AI models like ChatGPT into products, collaborating with data science and engineering teams, optimizing performance, and enhancing user experience.

The Engineering Manager will lead the Payments Risk engineering strategy, mentor the team, provide technical leadership, and collaborate across departments to ensure effective risk management solutions are developed for the organization.

The Senior Staff Software Engineer will design and implement risk platform architecture, mentor team members, and manage project priorities to mitigate financial threats and improve detection of user patterns.

As a Risk Manager, you'll analyze and mitigate security risks, implement fraud defenses, and collaborate with cross-functional teams to enhance security objectives.

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

The role involves leading and scaling the Risk AI/ML team, managing multiple teams, and owning end-to-end ML systems to mitigate fraud and risk at Coinbase.

The Staff Machine Learning Engineer will utilize AI models, mentor team members, and enhance automation solutions across Coinbase's operations, focusing on machine learning to solve complex challenges.

As a Senior Staff Engineer at Coinbase, you will improve incentives infrastructure, drive growth, and solve complex technical problems in cryptocurrency applications.

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.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

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.

The Principal Strategic Architect designs and implements managed services applications, ensuring architectural alignment with business strategy. Responsibilities include strategic planning, governance, evaluation of new technologies, creating prototypes, establishing coding standards, and leading digital transformation initiatives.

Lead the design and development of personalization models, applying advanced AI/ML methods to enhance member experiences and collaborating with cross-functional teams.

The Group AI Research Product Manager will lead the AI Foundations portfolio strategy, driving innovations in Cybersecurity AI and liaising with PhD scientists to enhance research outcomes.

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

The Senior Agentic Product Manager will lead the strategy for Agentic Managed Detection and Response, focusing on innovation, requirements gathering, and metrics development across various domains.

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 Product Manager will lead the Clinical Intelligence product, focusing on improving HEDIS measure performance through stakeholder alignment and data-driven decision making.

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.

The Product Owner II oversees feature prioritization for the Agile team, collaborates with stakeholders, and drives AI innovation in underwriting risk assessment.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.