Top Scala Jobs in Philadelphia, PA

As a Backend Engineer, you will design and maintain backend systems for AI applications, integrate AI models, and optimize system performance while collaborating with product teams.

The Senior Machine Learning Engineer will design and implement high-performance CTR and CVR prediction models, refine systems for user behavior modeling, and ensure model reliability through performance monitoring while engaging with stakeholders.

Design and implement high-performance CTR and CVR prediction models, ensuring reliability and quality while collaborating with team leads on project direction.

The role involves designing and implementing distributed systems for batch inference workloads, creating developer-friendly APIs, and fostering engineering excellence.

The Data Infrastructure Engineer will design and maintain data systems for large-scale AI model training, handling structured and unstructured datasets while ensuring data quality and scalability.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

As a Sr Specialist Solutions Architect, you will guide customers in building big data solutions using Databricks, requiring production experience with Apache Spark and expertise in data technologies.

As a Principal Software Engineer, you will build and optimize big data pipelines, design data architectures, and collaborate with scientists to enhance data quality and performance.

The role involves designing CLI and backend services, maintaining code quality, collaborating on technical issues, and writing documentation.

As a Solution Architect, you will design and implement data analytics solutions on Azure, integrating data sources and operationalizing cloud infrastructure.

Responsible for designing and managing cloud architectures, migrating client systems to the cloud, optimizing data pipelines, and mentoring team members.

As a Senior Data Engineer, you will develop and maintain scalable data solutions, ensuring efficiency and reliability in data processing and engineering high-performance solutions for analytics.

The Senior Fullstack Engineer at Sotheby's will drive technical vision and build a modern marketplace, collaborating across teams to innovate and improve internal tools and consumer-facing applications.

The Senior Software Engineer will enhance the Ads Experimentation Platform, build A/B testing tools, and collaborate with data science and product teams.

The engineer will design and maintain auto-bidding algorithms, optimize ad delivery systems, and collaborate on engineering projects for campaign performance.

Lead the development of an AI-driven growth platform for Airbnb, collaborating with cross-functional teams to design and optimize systems, and mentor engineers.

Develop and implement scalable solutions, mentor junior engineers, and collaborate with cross-functional teams to execute technical roadmaps.

The Staff Software Engineer will develop scalable data systems, mentor engineers, and set engineering standards, focusing on AI and data architecture.

Develop customer engagement strategies, coach junior architects, influence stakeholders, and provide technical solutions in a presales role.

Design and build a marketing platform, develop high volume reliable services, create big data solutions, and optimize existing products.

Solutions Architect leads customer adoption of Databricks solutions, designs data systems, consults on big data architecture, and develops implementations.

The Senior Backend Developer will design, implement, deploy, and operate backend systems for fintech integrations, working in an agile environment with a focus on quality and collaboration.

Lead ML projects to optimize search and recommendations at Airbnb, collaborating with cross-functional teams to enhance user experience and business impact.

The Principal Software Engineer will lead architecture and technical initiatives, mentor engineers, deliver scalable systems, and integrate AI into platform solutions.

Lead the design and maintenance of infrastructure and deployment tools, mentor other engineers, and enhance product delivery processes.