Top Remote Machine Learning Jobs in Washington, DC

This role involves providing cybersecurity services to government clients, focusing on system security engineering, data protection, and cloud security.

OneSix is seeking motivated professionals for future opportunities in data and AI consultancy. Interested candidates should submit their resumes to stay in touch.

Lead the Connected Data team at MaintainX, driving the roadmap for machine data connectivity from various sources, collaborating with AI/ML and engineering teams, and ensuring effective product solutions and user value realization.

Lead product strategies for Moloco Ads, focusing on mobile app publishers. Identify growth opportunities, manage a large engineering team, and drive product development with an analytical approach.

The Staff Fullstack Engineer will drive technical excellence and innovation, focusing on AI-driven talent matching, mentor engineers, and collaborate across teams to shape technical strategy.

Design and scale systems for personalization and ranking using ML. Mentor engineers and lead initiatives in a consumer-focused environment, leveraging AI tools.

As an AI Tutor - Python, you'll review AI-generated Python code, write solutions, and provide explanations to enhance AI model training.

The Senior Applied AI Engineer will design and optimize AI models, lead experimentation and evaluation strategies, and collaborate across teams to enhance system performance.

As a Research Scientist, work on connecting theoretical models with experiments in condensed matter theory, collaborating with scientists and engineers.

As Senior Director of Product Management, you will guide the vision and delivery of DealCloud for Legal, enhancing its applications for law firms by collaborating with stakeholders and leading a product development team.

Lead the ML and AI engineering team, strategizing and implementing AI solutions for business growth, mentoring staff, and collaborating across departments.

The Vice President of Product Development drives technological innovation for literacy products, overseeing development, DevOps, and strategy while enhancing collaboration across teams.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

The Product Manager will lead a pod to enhance primary care workflows using Counterpart Assistant, focusing on metrics, user experience, and product strategy to improve patient outcomes.

Lead the Content Representation Models team at Netflix, advancing media and metadata representation, ensuring production excellence in embedding pipelines, and driving cross-functional adoption of ML capabilities.

The Engagement Principal is responsible for the deployment of Aera solutions, managing client relationships, project delivery, and contributing to sales cycles, ensuring successful implementation and value delivery.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Lead complex cross-team integration projects, manage risks, establish processes, facilitate communication, and track success metrics in partnership with Product and Engineering teams.

Manage and expand sales territory for AI-powered healthcare software, driving revenue growth and building strong relationships with hospital executives and decision-makers.

Responsible for designing and scaling systems for go-to-market operations, implementing low-code workflows and AI-driven processes, and ensuring efficient cross-functional collaboration.

Lead the development and growth of line of credit products, establish roadmaps, ensure cross-functional collaboration, and promote a culture of continuous improvement.

Seeking a machine learning engineer to build solutions for personalization, automated experimentation, predictive modeling, and content generation, impacting customer interactions.

Lead the Notifications Relevance team, developing machine learning models for personalization and user engagement, while managing engineering efforts and team growth.

You will lead and mentor engineers while driving the development of solutions for autonomous vehicles using Machine Learning and software engineering principles.

Lead the Anaplan platform and data strategy, develop financial models, implement advanced analytics, and mentor team members for a FinTech team.