Top Machine Learning Jobs in Pittsburgh, PA

The Enterprise Architect will drive strategic roadmaps, assess integration strategies, and collaborate with stakeholders to improve operational efficiency and client value.

The Data Expert Senior oversees data assets, develops data strategies, resolves integration issues, and ensures data governance compliance.

The role involves managing information systems, conducting data analysis, advising end-users, supporting technologies, and researching customer needs.

Lead the design and development of Contact Center AI solutions, manage a team, and enhance customer engagement through innovative strategies.

Manage client needs in building and documenting AI/GenAI solutions, mentoring team members, and enhancing business process efficiency.

The Vice President of Data and Business Intelligence will create strategies for data governance, analytics, and insights to support business decisions and growth while managing a team.

This role focuses on enhancing data for autonomous vehicle models using multi-modality ML techniques, software engineering, and data quality evaluation.

The Staff Machine Learning Engineer will lead technical strategy, collaborate on product development, ensure operational excellence, and foster team quality and ownership.

The Innovation Lead develops and manages innovation projects, advising management on results and implementing strategies to create customer-centric solutions aligning with business goals.

Drive the vision for Upstart's ML and simulation platform, modernize infrastructure, mentor senior engineers, and align cross-functional strategies.

Lead architectural strategy and technical vision for Affirm's Purchasing, Credit Underwriting, and Machine Learning infrastructure domains, mentoring senior engineers and guiding cross-functional teams.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The Staff Research Scientist will develop foundational models for continuous borrower evaluation and enhance the customer loan experience using machine learning.

Lead and manage the Sponsored Results team, focusing on improving bidding strategies and ad performance, scaling solutions, and mentoring engineers.

As a Senior Product Manager, you will lead product vision and strategy, collaborate with teams across Iodine, and manage healthcare technology initiatives.

The Senior Principal AI Scientist leads AI initiatives, leveraging deep machine learning expertise, collaborating with teams, and driving innovation in Experience Management at Qualtrics.

The AI Data Scientist will leverage proprietary language-based clinical data to develop insights, support operations, and enhance patient experiences through innovative AI solutions.

The Senior Manager Logistics Digital Governance Lead drives GLNS digital initiatives, manages digital budget submissions, and aligns digital strategies with business priorities, emphasizing collaboration and innovation.

As AI Counsel, you will oversee AI compliance, enhance AI processes, educate staff on AI issues, and support cross-functional collaboration.

As a Senior Product Manager for Fleet Operations at Samsara, you will develop tools to optimize asset usage, enhance safety, and manage critical incidents by collaborating with engineering and cross-functional teams.

Lead the Machine Learning team to automate prior authorization processes by delivering insights and analytics products through complex data analysis, while mentoring staff and collaborating with cross-functional partners.

Lead and grow a team of engineers to build innovative software and hardware solutions, driving strategic vision and leveraging AI technologies.

The Managing Actuary will lead a team in developing telematics solutions, manage projects, and provide insurance insights, influencing business decisions.

Lead the AI/ML team in developing innovative tools for the collectibles ecosystem, manage projects, mentor team members, and drive technical vision for machine learning applications.

Lead AI initiatives and governance, enhance AI capabilities, and develop internal training programs while collaborating across teams.