Top Scala Jobs in Las Vegas, NV

As a Machine Learning Engineer, you will design systems for safe data ingestion and optimize data usage to enhance models and products, collaborating closely with the Product team and customers.

Axoni seeks professionals for various roles in capital markets technology, focusing on software engineering, product management, and DevOps, among others.

As a Senior Backend Engineer at Eight Sleep, you will develop and maintain back-end services and improve data processing, supporting critical business logic in distributed systems.

The role involves architecting and maintaining scalable data pipelines, ensuring data quality, and collaborating on data strategy. Ideal candidates have experience with AWS services and data governance in healthcare.

As a Senior Full Stack Engineer, you will develop JavaScript applications, enhance the analytics platform, and improve app visibility based on user feedback.

The Staff Data Engineer will design and implement data ingestion and transformation solutions on cloud platforms while providing technical leadership and support to product teams.

Lead the development of a data platform, enhancing data processing and query engines while mentoring team members and managing production issues.

Transform the Document Data Model to improve scalability and performance, build APIs and backend services, enhance observability, mentor team members, and participate in code reviews and on-call support.

As a Senior Partner Solution Engineer, you'll develop technical strategies for VAR partners, enhance business growth, and create joint solutions while leveraging strong pre-sales expertise.

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.