Top Machine Learning Jobs in Washington, DC

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

The Principal of Payer Strategic Consulting will drive consulting sales with healthcare payers, managing multi-million-dollar quotas, leading teams, and enhancing client relationships to deliver optimized consulting solutions and business growth.

The Data Science Actuary role involves building and maintaining rating systems and risk models, conducting analysis for underwriting and operations, and integrating new data sources while collaborating with multiple teams.

The role involves executing Paid Media strategies, consulting clients, managing campaigns, and utilizing data insights for business growth. Strong communication and relationship-building skills are necessary.

The Director of Sales will lead enterprise infrastructure sales in healthcare, nurturing high-value prospects, and achieving revenue targets through strategic partnerships.

The Senior Director of Product Growth shapes new product planning, monetization, and go-to-market execution while accelerating revenue and leading customer-centric initiatives across product lines.

Lead a team of Partner Solution Engineers to drive technical wins and implement solutions for strategic System Integrator partners, focusing on architecture and business value.

The Data Science Sr. Product Manager leads the machine learning and AI team, managing project roadmaps and data analytics for improved claims management.

Design and build a multi-agent architecture using LLMs for threat detection. Collaborate with teams to enhance email security products while ensuring high quality and low latency solutions.

The Assistant Modeling Manager develops and enhances auto insurance rating plans, applying advanced modeling techniques and collaborating with data scientists to provide insights and ensure compliance with regulations.

The Global Process Owner for S&OP leads the design and continuous improvement of the S&OP process, ensures collaboration across functions, and drives digital transformation and automation within the organization.

The Data Scientist collects and analyzes data to spot trends, recommends data utilization, and communicates findings to business leaders, while developing predictive models and data processes.

MAXISIQ seeks experienced IT and Cybersecurity professionals for roles in Systems Administration, Network Engineering, and Software Development. Candidates should have relevant certifications and clearances.

Lead a technical team in sensor fusion and AI for aerospace and defense projects. Develop and manage perception algorithms for autonomous systems.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Lead the development and execution of ML-driven User Acquisition products, improving advertiser experience and managing product roadmaps in a fast-paced environment.

The Senior Director of Data Insight will lead global data capabilities, focusing on analytics, AI integration, and operational efficiency to support business decisions.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.

The Senior Product Manager will own the roadmap and execution of a real-time data platform, leading product strategy, discovery, and commercialization while collaborating with cross-functional teams to enhance data-driven insights and product performance.

Responsible for leading a team of engineers, addressing complex backend problems, coaching, driving hiring decisions, and shaping project roadmaps at DuckDuckGo.

The Legal Operations Specialist will enhance the Legal team's efficiency through technical solutions, process improvements, and collaboration with various departments to streamline legal operations.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

Design and build a machine learning platform, deploy ML models, collaborate across teams, and establish monitoring standards for AI solutions.

The Enterprise Account Executive will drive revenue by engaging with enterprise insurance clients, managing the sales cycle, and fostering strategic relationships with executives, leveraging Vellum's data analytics platform.