Top Scala Jobs

Lead development of scalable data processing systems, collaborate with data scientists to optimize machine learning solutions, and deliver products that meet business objectives.

The Sr. SW Engineer designs scalable components, develops microservices, supports troubleshooting, and advocates for development best practices.

Lead and develop Pinterest's large-scale Experimentation Platform focusing on machine learning, big data, and technical strategies for maximized ML model performance.

Lead the development and optimization of Big Data tools and services, collaborating across teams and mentoring junior members in a high-scale Agile environment.

Develop high-performance distributed systems for real-time customer segment evaluations, improve system architecture, and collaborate on innovations using Agile methodologies.

As a Staff Backend Engineer, lead cross-functional projects, design microservices and machine learning pipelines, and mentor team members while ensuring optimal architecture and performance.

Design, implement, and deploy machine learning algorithms, manage algorithm lifecycle, and coordinate data efforts for large-scale applications.

Lead a full-stack engineering team to build and scale core lending products for small businesses while managing the technical vision and roadmap.

As a Data Engineer, you will build large-scale data infrastructure, manage databases, enhance data quality, and collaborate closely with engineering teams to support business decisions and research.

Develop and maintain applications for SpaceX's mission-critical software. Design solutions, build prototypes, and collaborate on software engineering projects.

The Staff Machine Learning Engineer will lead AI projects, build and optimize ML models, mentor team members, and collaborate across teams at Strava.

The Software Engineer role focuses on designing back-end systems and developing secure, scalable features for web applications, enhancing services for users and restaurant partners.

Design and maintain large-scale data pipelines, optimize systems, and improve architecture. Collaborate on product roadmap and own new projects.

Develop and maintain scalable software applications, manage an advertising platform, and collaborate with engineering teams to innovate and implement features.

Lead the design and development of Socure's Identity Graph project, overseeing engineering teams, ensuring compliance, and enhancing scalable data solutions.

The Senior Software Engineer will manage Pig and PySpark analytics development, ensure accurate data delivery, and oversee daily operations.

As a Sr. Staff Technical Solutions Engineer, you will resolve complex product issues for Databricks' strategic customers, utilizing your expertise in Spark and data technologies while collaborating with various teams to enhance customer experience.

Responsible for building a next-generation experimentation platform, developing high-performance distributed systems, and mentoring engineering teams for better standards.

As a Frontend Engineer at dv01, you will develop analytics tools using a modern tech stack to bring transparency to consumer lending and collaborate with a diverse team to solve complex problems.

Lead initiatives for Dataminr's Knowledge Platform, develop pipelines for the knowledge graph, and apply AI solutions for automated alerting.

Develop applications using Java and JVM languages, implement solutions, maintain CI/CD pipelines, and enhance team performance through code reviews.

As a Machine Learning Engineer II, you'll develop and maintain ML infrastructure, create customer models, and collaborate with various teams to enhance AI-driven products.

As a Senior Backend Software Engineer, you'll build infrastructure for AI services, improve efficiency of AI workloads, and collaborate with teams to enhance user experiences.

The Senior Cloud Developer will design, develop, and maintain cloud-native applications using microservices architecture, focusing on AWS technologies.

As a Solutions Architect, you'll lead clients in modernizing data architectures, focusing on lakehouses and streaming data with technologies like Snowflake and Apache NiFi.