Top Machine Learning Jobs in Pittsburgh, PA

The Machine Learning Researcher assesses healthcare datasets for client needs, ensuring data quality and understanding, while collaborating on data integration.

Develop and apply deep learning models for genomics and transcriptomics, curate high-quality datasets, and collaborate in drug discovery efforts.

The Senior Machine Learning Engineer will design and implement ML solutions, collaborate with teams, and contribute to scalable infrastructure enhancements.

This role involves deploying and optimizing machine learning models for autonomous vehicle motion planning, ensuring performance and reliability in production settings.

Lead the technical vision and architecture for machine learning and data systems, overseeing scalable infrastructure and collaboration across teams.

The Senior Machine Learning Engineer will lead ML initiatives, design scalable systems for data processing, and mentor colleagues to build robust ML infrastructure.

The Senior AI/ML Engineer will design, deploy, and monitor NLP and AI models, collaborate with teams, and ensure performance and scalability.

Design and implement machine learning solutions, write clean code, and collaborate with teams to build scalable ML systems for real-world applications.

Lead research and development of machine learning models, focusing on fine-tuning and optimizing solutions for business challenges. Mentor team members and collaborate with cross-functional teams.

The Senior ML Engineer will develop and optimize ML systems, build training pipelines, fine-tune LLMs, mentor junior staff, and communicate ML insights to non-technical stakeholders.

The role involves architecting, building, and optimizing ML systems, fine-tuning large language models, and mentoring junior team members. Collaboration with cross-functional teams to deliver impactful ML solutions is essential.

Design, build, and maintain distributed training infrastructure for Ads ML models, while collaborating with ML engineers to optimize training processes.

You will develop and improve NLP models for Sully.ai's AI agents, work cross-functionally, and implement MLOps practices.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

The Lead Machine Learning Engineer will develop scalable ML systems for optimizing advertising performance, collaborating with global teams and applying advanced ML techniques.

Build and optimize recommendation systems, deploy ML models for personalization, enhance data pipelines, and run A/B tests to drive business growth.

The Senior Machine Learning Engineer will develop and deploy ML models for personalizing user experiences and optimizing content discovery, driving significant revenue growth.

Lead the design, deployment, and scaling of machine learning systems for real-time user recommendations, improving engagement and revenue at scale.

The Lead ML Engineer will design and deploy complex ML systems to optimize ad performance, working with global teams to enhance user engagement and drive revenue.

As a Machine Learning Engineer, you will design, build, and optimize ML models for ad ranking, bidding, and measurements, ensuring effectiveness across Reddit's advertising solutions.

Lead the architecture and development of Reddit's ML Feature Platform, overseeing real-time feature store design, team mentorship, and infrastructure optimization.

As a Senior Machine Learning Engineer, you will design, implement, and optimize ML models for ad ranking and bidding, driving value for Reddit's advertisers.

As a Software Engineer for ML Feature Platform at Reddit, you'll architect and maintain infrastructure for ML features affecting user engagement. Responsibilities include working with large-scale systems, coding in Python, Scala, and Golang, and utilizing Kubernetes and big data technologies.

Lead the development and deployment of machine learning systems, collaborating with teams to enhance performance and scalability, while optimizing data pipelines and models.

Design and implement a perception system for autonomous vehicles, focusing on data integration from various sensors and ensuring safe operation.