Top Remote Machine Learning Jobs in Washington, DC

As a Senior Product Manager, you will lead the transformation of Scribd's platform, developing product vision, strategy, and communicating with various stakeholders while tracking user success metrics.

The Principal Machine Learning Engineer shapes the machine learning strategy and architecture, leads initiatives, mentors engineers, and influences technical decisions at SharkNinja.

Lead the design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.

As a Director in Financial Risk Management, you'll lead analytics development, enforce risk limits, ensure model governance, and collaborate for strategic risk integration.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

Design and build ML features using LLMs, collaborate on technical architecture, and ensure safety and performance of deployments.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.

As a Machine Learning Intern, you'll prototype and evaluate ML systems, collaborate with teams, and analyze large datasets to improve user experiences.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

Lead GenAI/AI initiatives by collaborating with cross-functional teams to identify opportunities, ensure ethical practices, and develop scalable solutions. Communicate effectively with stakeholders and support successful project transitions into products.

Lead the development of advanced AI models, integrating cutting-edge technologies into healthcare applications while mentoring junior staff and ensuring compliance.

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

Design and implement scalable data pipelines and ML algorithms to optimize StackAdapt's digital advertising platform. Collaborate with teams to solve complex problems.

The Enterprise Account Executive will manage the sales cycle, acquire new customers, and expand existing accounts within Fortune 1000 companies, focusing on finance teams.

The role involves defining AI strategy for the AECO industry, prioritizing AI use cases, and guiding AI initiatives to align with Autodesk's portfolio.

The Engineering Manager, Machine Learning will lead a team focusing on 3D deep learning and computer vision, manage the ML roadmap, and implement best practices for MLOps pipelines.

The Senior Staff Machine Learning Engineer will develop AI-powered solutions, mentor engineers, and collaborate with cross-functional teams to enhance Airbnb's customer experience through advanced machine learning technologies.

The Business Strategy Director will explore new business opportunities, lead transformational projects, and enhance organizational effectiveness while collaborating with senior leadership.

The Training & Education Specialist will design and deliver training programs for customers and internal teams, enhancing client adoption of Vividly's platform using modern tools including AI and automation.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

In this role, you will design and build a platform for large-scale machine learning model training and optimize its operations. You'll create APIs for both ML practitioners and non-experts, focusing on enhancing cost-effectiveness and reliability in machine learning applications.