Top Machine Learning Jobs in Pittsburgh, PA

The Vice President of Product Management for Data and AI/ML at Workiva will lead product strategy for the data-driven platform and AI solutions. Responsibilities include overseeing product management, driving global product initiatives, fostering stakeholder relationships, and building a high-performing team. This role aims to inspire teams to develop products that exceed customer expectations and align with the company's strategic goals.

As a Senior Product Manager for Auto Retail at Upstart, you'll lead the strategy and vision for enhancing the automotive finance platform. You'll work with internal teams and external partners to manage integrations, prioritize product roadmaps, and leverage machine learning capabilities to improve customer experiences in auto retail.

The Executive Director of Data Engineering and Governance will lead data engineers and governance analysts in designing and overseeing technology architecture for data management. Responsibilities include implementing data governance frameworks, managing data quality processes, and collaborating with data owners to establish critical data elements. This role also involves directing the use of AI and machine learning for data cleansing and organization, while aligning technical solutions with business strategy and goals.

The Network Detection and Response Engineer will deploy NDR solutions, monitor network activity for threats, facilitate security incident investigations, develop detection rules, and propose improvements to enhance security capabilities within hybrid environments.

The Executive Director, Data Engineering & Data Governance will lead a team of data engineers and analysts to develop and implement technology solutions for data management and governance. Responsibilities include establishing data quality processes, building data structures, and using AI and machine learning to enhance data handling. This role also involves cross-functional collaboration, project management, and development of business strategies to improve operational efficiency.

The role requires leading the Credit and Data Science functions for Empower's international operations, developing risk models and credit policies, and launching innovative products to improve customer financial outcomes. The candidate will lead teams to analyze consumer behaviors and tailor solutions for different markets, contributing to business growth in Latin America and South East Asia.

As a Staff Backend Engineer, you will shape the technical direction by leading complex product initiatives, optimizing engineering processes, and mentoring engineers. Responsibilities include designing and deploying server application code, ensuring secure coding standards, and improving system performance while participating in on-call schedules.

As a Software Engineering Manager at Empower, you'll oversee systems and processes for apps, manage a team of engineers, engage in hiring technical talent, and ensure the delivery of secure, user-friendly solutions. You'll participate in strategic initiatives, mentor your team, and handle high-severity operational incidents while maintaining technical infrastructure and performance management.

The Sr. Product Manager - Card will develop a vision for card products, identify new feature opportunities, and lead cross-team collaboration to enhance user satisfaction and business growth. Responsibilities include defining success metrics, conducting market assessments, and prioritizing features based on customer feedback.

Lead Credit and Data Science functions for international markets. Develop risk models, credit policies, and innovative products to enhance customer experience and business growth. Collaborate with teams to adapt strategies based on market-specific data and consumer behavior.

As a Staff Data Scientist at Empower, you will develop risk models and credit policies to drive competitive underwriting practices. You will lead teams to analyze consumer behaviors and adapt solutions for the Latin American market, enhancing customer financial well-being. This role is pivotal for launching innovative financial products and requires tackling complex geographic challenges.

The Staff Data Scientist is responsible for developing and implementing machine learning models and analytics to drive business growth and improve customer financial situations. This role requires close collaboration with product, tech, and finance teams, and involves the entire model development process from conception to deployment, focusing on credit risk models to enhance approval rates and reduce loss rates.

The Strategic Initiatives Manager will drive innovative projects to enhance the life sciences ecosystem in Pittsburgh. Responsibilities include conducting research to identify industry trends, developing comprehensive business cases for initiatives, managing project lifecycles, and cultivating partnerships to support regional growth in life sciences.

The Senior Software Engineer will develop machine learning models and advanced algorithms for multi-object tracking and state estimation. Responsibilities include transitioning solutions from lab to production, collaborating with experts, and maintaining high software practices.

The Sr. Manager will lead R&D teams to develop driver behavior detection algorithms from smartphone sensor data for Arity. Responsibilities include setting a vision for machine learning applications, aligning with product and engineering teams, and managing diverse data science teams while ensuring successful model deployment and strategic development.

As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.

Design and deploy machine learning solutions for grocery delivery, collaborating with diverse teams to enhance operational efficiency and align with business goals. Engage in problem-solving and engage with stakeholders on various levels.