Top Machine Learning Jobs in Washington, DC

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

As a Senior Manager, you will lead finance transformation efforts, assist with Oracle implementations, manage teams, and ensure client satisfaction.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

In this role, you will manage strategy and transformation projects in cybersecurity, leveraging AI solutions, mentoring teams, and advising clients on risk compliance.

The role involves designing, testing, and deploying AI/ML solutions while leading teams and mentoring junior staff to drive productivity and innovation at PwC.

As a Manager in the Finance team, you will support clients in their Finance Transformation using Oracle Cloud ERP and EPM, providing problem-solving, coaching, and analysis to enhance their financial functions with new technologies.

As a Senior Manager in Cyber Strategy, Risk & Compliance, you will lead teams and projects focused on AI-enabled cybersecurity solutions, providing strategic guidance and managing risks for clients.

Lead the design and implementation of enterprise AI/ML solutions, manage project performance, mentor teams, and ensure compliance with Responsible AI governance.

Lead go-to-market strategy and execution for TransUnion's Identity, Audiences, and Measurement solutions while partnering with product management and driving market awareness and sales enablement initiatives.

The manager will lead the design and delivery of Generative AI and Machine Learning solutions, mentor staff, and manage project lifecycle while ensuring client engagement and quality standards.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

The Sr. Director of AI Program Management will lead AI initiatives, foster an internal AI community, support AI governance, and drive collaboration across teams for effective AI adoption.

The Engineering Manager, Data Science will lead a team to drive machine learning initiatives in AdTech, focusing on optimization and modeling strategies to enhance client success and operational efficiency.

The Principal Product Manager will enhance supply chain visibility using AI, helping businesses navigate tariffs, compliance, and supplier risks through actionable data insights and workflows.

The role involves designing, building, and deploying computer vision models for vehicle damage detection, covering the entire ML lifecycle and collaborating across teams.

The Staff ML Engineer will design and operate Samsara's ML platform, collaborating with teams to enhance ML features and improve safety outcomes. Responsibilities include overseeing system reliability, leading technical direction, and mentoring engineers.

Lead engineering teams to design and implement core voice AI APIs. Responsible for team management, project planning, technical strategy, and collaboration with research and product teams.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

The Loan Processing Representative manages loan applications, handles customer inquiries via calls, and ensures accurate account updates.

The VP, Strategic Sales will lead enterprise sales efforts, focusing on Fortune 500 clients, developing relationships, and driving significant revenue through complex sales cycles.

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.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.

Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.

The Director of Product Management for ML Platform will own the product strategy and execution, mentor PMs, and collaborate with ML teams to enhance infrastructure and manage costs.