Top Scala Jobs in Portland, OR

Design and develop scalable machine learning solutions to enhance Netflix's personalization systems, while collaborating with cross-functional teams.

Design and develop reliable distributed data systems to deliver high-quality data for Netflix's product, collaborating with data scientists and engineers.

The Data Engineer will build scalable privacy-centric data frameworks, engineer data pipelines, and ensure compliance with privacy regulations at Netflix.

Build a next-generation ML data and feature infrastructure platform to enhance the productivity of ML practitioners and improve feature accessibility.

As a Senior Analytics Engineer, you'll design metrics, generate insights, and drive analytics initiatives to support Netflix's ads business.

Design and develop scalable solutions for machine learning algorithms, collaborating with researchers and engineers to enhance Netflix's personalization systems.

The Data Engineer will architect and expand data products for Netflix's Ads business, developing data pipelines, collaborating with analysts, and ensuring data quality.

Join Netflix's Algorithms team as a Machine Learning Software Engineer to design and develop solutions for personalization systems. Collaborate on scalable machine learning algorithms and enhance software engineering practices.

Develop and optimize partner payment systems, build scalable APIs, and collaborate with cross-functional teams to enhance partner product innovations.

Develop and deploy machine learning models for real-time ad systems, optimizing inventory management, targeting, and campaign effectiveness for Netflix's advertising platform.

The Senior Data Engineer will design and implement robust data infrastructure, create data pipelines, and support machine learning models in collaboration with teams.

Develop and maintain scalable distributed systems for Machinify's AI platform, utilizing Java and Scala, with emphasis on database management and cross-functional collaboration.

The Solutions Architect will influence stakeholders through customer engagement strategies, provide technical solutions, and coach junior team members while operating as an expert in data analytics design and architecture.

As a Staff Software Engineer in Data Systems, you'll build and optimize data pipelines, drive architecture decisions, and collaborate for scalable solutions in a fast-paced e-commerce environment.

The Analytics Engineer will develop data pipelines, conduct analytics, create dashboards, and collaborate with cross-functional teams to provide insights into consumer behavior for strategic decision-making.

Develop and manage large-scale, real-time ML infrastructure and data pipelines, optimize system performance, and automate ML development processes.

The Data Engineer II will develop and maintain data pipelines, optimize workflows, troubleshoot issues, and implement best practices while collaborating with cross-functional teams.

The Data Engineer will modernize data architectures and pipelines for government projects, ensuring efficient data handling and enhancing data processing capabilities while collaborating with cross-functional teams.

Looking for a Scala Engineer to develop scalable backend systems, utilizing Cats, FS2, and Kafka, and working with PostgreSQL. Optional experience with LLMs and IM protocols is a plus.

The Senior Data Analyst/Tester's role involves business/data analysis, QA testing, data modeling, and collaborating with teams to deliver data-driven solutions.

Lead and grow teams of machine learning engineers and data scientists at Nike, focusing on developing Gen AI solutions for customer service optimization.

The Senior Software Engineer will architect and develop data assets, implement data pipelines, and ensure data quality while mentoring team members and adhering to data regulations.

As a Senior Full Stack Engineer, you'll design and develop scalable applications and services, ensuring reliability and user-friendliness while collaborating across teams to deliver high-quality products.

You will design, build, and maintain scalable applications using Java and JavaScript, collaborating across teams and managing databases.

The role involves designing, building, and optimizing large-scale ML systems for personalized recommendations, focusing on data ingestion, model training, and collaboration with cross-functional teams.