Top Machine Learning Jobs in Washington, DC

Lead the product lifecycle for AI products, ensuring delivery of solutions through collaboration with engineering and design teams, while focusing on business value and responsible AI practices.

The QA Data Engineer ensures data integrity and quality through automated testing frameworks and data validation tools, collaborating with teams to resolve anomalies and optimize data flows.

The Knowledge Manager leads the DOJ's knowledge management strategy, oversees content lifecycle management, develops policies, and trains staff to enhance knowledge sharing across the organization.

Analyze malware and detections, improve detection capabilities, and respond to internal inquiries regarding threat detection in cybersecurity. Requires understanding of malware functionality and experience with reverse engineering.

As a Senior Data Scientist, you will optimize auction-based models, collaborate with teams, drive client ROI, and enhance modeling infrastructure.

As a Machine Learning Engineer, you will enhance ML productivity, design algorithms, and collaborate cross-functionally to improve credit underwriting models.

Develop and maintain machine learning models for advertising budget allocation and bidding systems, ensuring efficient ad spend and performance optimization.

The Product Manager will oversee the development and deployment of autonomy solutions for space operations, ensuring product alignment with mission requirements and leading integration and testing efforts.

Lead the Ads Quality team to innovate AI and ML solutions for optimizing ad bidding and campaign performance while mentoring engineers and shaping engineering culture.

The Applied Scientist will leverage machine learning and statistics to enhance trust and safety on the Thumbtack platform, focusing on fraud detection, marketplace dynamics, and customer matching. Responsibilities include deploying ML models, conducting experiments, and collaborating with cross-functional teams.

Seeking a Senior Product & Regulatory Counsel to provide legal guidance on healthcare regulations, data privacy, and product development while collaborating with teams to manage legal risks and improve processes.

As Lead ML Engineer, you will guide ML engineering teams, define technical visions, mentor engineers, and develop AI solutions for large networks.

Lead the development of AI-powered systems leveraging large language models for search relevance, conversational AI, and workflow automation, while collaborating with cross-functional teams and staying updated on AI innovations.

Lead CNA's enterprise-wide AI security strategy, ensuring secure AI/ML development and deployment. Guide governance efforts and assess AI-related risks.

Lead a team focused on AI/ML, developing solutions, enhancing models, and providing technical expertise in a cloud environment. Drive innovation in data science and communicate findings effectively.

Seeking a Senior Technical Project Manager to oversee complex projects, ensuring successful execution, stakeholder influence, and alignment with business needs. Responsibilities include managing cloud migrations, facilitating cross-functional teams, and identifying risks while maintaining project budgets.

The Senior Director of Engineering Operations will lead a team, drive operational excellence, manage engineering tools, and ensure compliance with security policies while overseeing strategic programs and vendor relationships.