Principal Software Engineer, ML

Relyance AI is seeking a Principal Software Engineer for their machine learning initiatives, focusing on natural language processing (NLP) to extract information from legal documents and code. The selected individual will partner with cross-functional stakeholders to design and build powerful features that leverage AI to enhance customer impact. This role requires developing innovative model architectures and workflows to support data curation and training for machine learning applications. Attention to detail and adaptability will be key traits as the team navigates complex data and evolving requirements. Required Qualifications and Skills The role requires over seven years of experience in building machine learning and NLP solutions, with expertise in programming languages such as Python, Java, C#, C++, and Scala. Candidates should demonstrate strong data structures, algorithms, and software design skills. A collaborative mindset and a pragmatic approach to solving complex problems in a fast-paced environment are essential. Experience in influencing product direction and a strong ability to communicate effectively are also necessary. Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information. Using machine learning, Relyance AI constructs a dynamic, real-time data inventory and mapping to monitor the movement of personal data through code, applications, infrastructure, and to third-party vendors. The company is driven by the belief in the fundamental importance of innovation for human progress and aims to build for people, including customers, team members, and the global community. Core values such as global impact, trust, critical thinking, customer focus, persistence, teamwork, and diversity underscore Relyance AI’s mission. Relyance AI stands committed to fair and equitable compensation practices, guided by data-driven pay practices to ensure competitive offerings. #J-18808-Ljbffr