Top Senior Machine Learning Jobs in Washington, DC

The AVP, Digital Portfolio Management oversees P&L for small business products, driving underwriting profitability and digital transformation through analytics, cross-functional collaboration, and strategic initiatives.

The Senior Sales Manager will drive revenue growth by selling analytics and data solutions, managing sales cycles, and engaging with clients to deliver value through data-driven strategies.

Lead the Compliance Infrastructure and Analytics team to develop financial crime solutions, ensuring regulatory compliance while enhancing product efficiency and user experience.

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 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 Regional Sales Manager will drive sales of ExtraHop's advanced security platform within the Federal sector, develop government relationships, and exceed revenue targets through strategic account management.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

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

Lead the AI Platform team to design and develop multi-agent frameworks, harnessing AI technologies and ensuring compliance while collaborating across teams.

As a Senior Account Executive, you will manage a portfolio of accounts, partner with HR leaders, identify new business, and guide customer satisfaction to enhance account growth. You will develop strategic enterprise-wide strategies and educate customers on TalentNeuron's value proposition.

The Senior Sales Engineer will drive pre-sales success by combining technical expertise in AI/ML with solution design, customer engagement, and thought leadership, collaborating closely with Sales and Product teams.

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

The AI Program Leader will design and implement AI initiatives in People & Culture, manage AI projects, enhance processes, and collaborate with teams to drive transformative changes using AI technologies.

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.

Research, develop, and productize Multilingual Live Caption and Translation models while collaborating with a cross-functional team to enhance localization.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

Develop and enhance ML infrastructure for LLMs, partnering with multidisciplinary teams to deliver scalable, robust systems impacting user experiences.

As a Senior Software Engineer, you will manage customer deployments of AI integration, making architectural decisions and ensuring effective solutions.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

Lead the enterprise-wide AI adoption initiative, managing strategies, budgets, and communications across departments while preparing executive presentations and mentoring successors.

Lead product strategy for data and AI solutions, drive analytics, manage integrations, and improve decision-making in health-tech.

The Solutions Architect aligns technology strategies with business objectives, leading solution design and architecture to deliver scalable IT solutions. Responsibilities include managing projects, evaluating technology trends, and driving efficiencies through AI and automation.

The role involves defining and building the company's machine learning capabilities, designing production ML systems, owning data strategy, and partnering with engineers. Requires experience in ML system production and software engineering fundamentals.

The Staff Machine Learning Engineer will define and build ML capabilities, design production systems, and lead ML strategy in a high-growth AI cybersecurity company.