Top Machine Learning Jobs in Washington, DC

The role involves building and optimizing a machine learning and simulation platform, supporting MLOps, model deployment, and infrastructure modernization, while mentoring engineers.

The Software Engineer will develop AI-powered cybersecurity products, iterating based on feedback, collaborating with research teams, and engaging with customers to inform product development.

As a Senior Data Scientist, you'll analyze data to solve complex problems using machine learning and statistical methods. You'll lead projects, develop algorithms, and work closely with clients to derive insights from data.

Perform data exploration, cleaning, analysis, and visualization; develop algorithms and predictive models using R/Python/SQL and NoSQL; analyze structured and unstructured data; apply text mining, ML, and AI techniques; work with clients to deliver actionable insights. Top Secret clearance required.

The role involves designing and implementing AI and ML solutions for Defense sectors, requiring experience in ML engineering and cloud environments.

Develop and implement AI and ML systems for Defense and Intelligence sectors, focusing on deployment, scalability, and integration of technologies.

As an Analytic Methodologist, you'll lead data exploration and analytics projects for the Department of Defense, applying innovative methodologies and managing complex data analysis.

Lead Unity's Robotics and Industrial strategy, driving product roadmap, cross-functional collaboration, data-driven decisions, and managing partnerships to enhance autonomous system development.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

The Director of Data Sciences leads a team in strategic initiatives, drives machine learning and AI solutions, and manages resources to enhance data-driven decision making across the business unit.

The Transformation Strategy Lead executes complex workstreams, develops business strategies, manages projects, and creates executive communications, contributing to healthcare transformation initiatives.

The Engagement Manager leads client projects, manages teams, ensures timely delivery, develops client relationships, identifies business opportunities, and provides thought leadership.

Designs and implements data pipelines and analytics solutions for risk management and audit processes, ensuring compliance and scalability.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

Lead the development of machine learning systems for Cedar's Personalization Engine, focusing on ML modeling, MLOps, and team management to drive healthcare solutions.

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

As a Product Intern focused on AI & Innovation, you'll research AI tools, prototype workflows, support testing efforts, and collaborate across teams to enhance product management.

The Technical Sales Enablement Manager will design and deliver programs for Solutions Architects and sellers to improve technical competency and sales effectiveness in a fast-paced environment.

As a Senior Data Scientist at Netflix, you'll lead experimentation and statistical modeling in game verticals, influencing data-driven decisions and presenting insights to stakeholders. You'll utilize your extensive experience in data science and statistics to enhance game development processes.

The Machine Learning Engineer will deploy models, improve existing systems, collaborate with teams, and work with large datasets for government clients.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

The Senior Software Engineer will develop ML training pipelines, maintain cloud systems, and optimize the ML lifecycle for dental products.

Lead the machine learning and personalization efforts at Babylist, managing a team focused on enhancing product recommendations, search, and revenue through ML initiatives.

The Senior ML Ops Engineer will build and maintain infrastructure for AI/ML at scale, manage machine learning models, and support team initiatives while ensuring code quality and engineering standards.

The Engagement Manager manages project execution, collaborates with technical teams on AI solutions, develops client relationships, and coaches consultants.