Top Remote Machine Learning Jobs in Washington, DC

Analyze malware and detection tickets to improve detection capabilities. Collaborate with internal teams on threat detection inquiries and perform tasks to manage false positives.

The Director of Engineering, Data Platform will define Liftoff's data engineering strategy, lead teams in building scalable data infrastructures, and collaborate with R&D and product leaders for high-quality delivery and innovation.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

As a Machine Learning Security Researcher, you will conduct research on security for machine learning systems, develop security frameworks, and engage with AI organizations to assess and improve their security posture.

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

The Senior Clinical Informaticist will bridge clinical expertise with data science, collaborating on digital health solutions, overseeing data integrity, and mentoring a team.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras, focusing on safety insights and risk monitoring. Oversee model lifecycle and collaborate with cross-functional teams for feature deployment at scale.

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

Lead the development of audit practices, enhance methodologies, integrate data analytics, ensure compliance, mentor teams, and communicate effectively with leadership.

Lead the design strategy for Pluralsight's analytics experience, translating complex data into actionable insights while mentoring designers and fostering collaboration across teams.

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

The Engineering Manager will lead a team in developing a Dispatch Optimization platform, focusing on data science, ML engineering, and operational efficiency, while fostering talent and ensuring project delivery.

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.

The role involves managing the product lifecycle of Salesforce functionalities, coordinating with teams, integrating AI, and ensuring product innovation based on stakeholder feedback.

As a Senior Staff Engineer at Samsara, you will define technical strategies, lead system designs, influence engineering standards, and mentor staff engineers to build AI and ML based solutions that enhance driver safety in physical operations.

Define and execute the vision for leveraging machine learning and analytics to personalize customer engagement. Oversee product managers, align across teams, and scale data science capabilities.

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

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.

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

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 Head of Consumer Product will create engaging experiences using relational AI, focusing on user well-being rather than metrics like engagement. Responsibilities include product strategy, user research, gamification, and community building.

The Senior RAG Engineer at Wipfli will develop AI-powered solutions, working on application design, API construction, and data integration to enhance enterprise AI capabilities.