As a Machine Learning Engineer, you will play a crucial role in developing cutting-edge machine learning solutions to improve the automotive shopping experience for consumers. You will work on a range of engaging projects aimed at optimizing pricing models, recommendation systems, and shopper segmentation. Collaborate with stakeholders to fuse ideas from business issues to machine learning solutions. Solve moderately complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.
We are currently seeking a Software Engineer to join our Network Services team to define and execute innovative ways to deploy, operate and monitor networking systems at scale. This position requires an understanding of networking protocols, combined with software tools development expertise. You should have experience designing, developing, and testing software for network automation and have a strong track record of success.
Build high-availability clinical applications that support problem discovery, risk assessment, and linking conditions to medications, labs, and procedures within the EMR. Act as a hands-on technical leader who collaborate across engineering, product, and architecture. Communicate technical insights with clarity and purpose, write clean, testable code, and drive scalable, reliable solutions through CI/CD best practices.
QSIC is looking for a Senior Engineer to work with our In Store Systems Engineering team, developing both the software running on our in-store hardware, and the API services it communicates with. This is a remote fulltime role for someone in Australia in the AEST timezone, who will collaborate closely with our Engineering team distributed along the east coast, and work with our Dallas, United States team where required.
The Machine Learning Engineer will help build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies. As an ML Engineer, you will help complete strategies for understanding the factors that play a role in the performance of promoted tracks across the globe. You’ll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches.
Shape the future of AI within Apptegy's product suite by embedding cutting-edge LLM capabilities directly into user experiences. Solve complex problems at the intersection of product, engineering, and artificial intelligence. Mentor an engineering organization, establish AI best practices, and see your strategic vision come to life, growing your leadership and technical expertise.
This role is for a Research Engineer to join the Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.
Be part of a team that focuses on building a world-class data science platform. Work closely with both product owners and architects to fully understand business requirements and the design philosophy. Optimize web and data applications for performance and scalability. Collaborate with automation engineering team to deliver high-quality deliverables within a challenging time frame.
We're looking for a quantitative engineer who shares our vision that blockchain can create open, transparent markets that serve people around the world. This role offers the chance to develop foundational technology that doesn't exist today, shaping how value flows through one of the world's fastest-growing blockchain ecosystems. Your contributions will directly impact scalability, performance, and accessibility in decentralized systems.
Build application models and code the logic behind the user-facing components and the database of web apps, while focusing on the performance, usability, accessibility, and adaptability of the apps. The role involves integrating user-facing and server-side components, building reusable code and libraries, optimizing app performance, and implementing security measures.