Top Machine Learning Software Engineer Jobs in Austin, TX

As a Staff Software Engineer, you will lead engineering strategies, mentor team members, collaborate with cross-functional teams, and make architectural decisions to enhance the Organizer app platform.

The Engineering Manager will lead a software and data engineering team, overseeing AI/ML model development for the insurance industry and ensuring collaborative processes across teams.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

The Director of Engineering, Data Platform will define Liftoff's data engineering strategy, lead teams in building scalable data infrastructures, and collaborate with R&D and product leaders for high-quality delivery and innovation.

Lead the design, development, and delivery of software products. Oversee the software development lifecycle and mentor a software engineering team. Collaborate with cross-functional teams to translate requirements into technical solutions.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

We are seeking a .NET Developer with experience in SignalR for a 9-month contract role, potentially extending beyond. Responsibilities include software development and problem solving.

Develop high-performance web and desktop applications using modern technologies, and optimize real-time communication. Collaborate with multiple teams to implement scalable solutions and lead development best practices.

The Principal Software Architect will lead the development of innovative gaming products, establish architectural direction, mentor developers, and improve processes while leveraging AI tools in an Agile environment.

Lead the evolution of Token Metrics' analytics platform and trading bot, focusing on scalability, performance, and security while mentoring development teams.