Degree in Computer Engineering
Aartificial intelligence, Algorithms, C# Programming, C++, Data structuring, Design, Java Programming, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Python Programming, Scala Programming, Software Development
As Relyance AI’s Senior ML/NLP Software Engineer, you will strategize, drive, and execute on the initiatives in NLP for information extraction from legal documents, ML/NLP for information extraction from code and general ML in code analysis, as well as overall AI backend initiatives. You will partner with cross-functional stakeholders to design and build flexible, powerful, and robust features that scale the impact of AI for our customers. You will work with Large Language Models like GPT-4 and LLaMA 2, as well as models of the scale of T5 or BERT. You will create novel model architectures and ML/NLP techniques, build data curation and model training workflows, and perform error analysis to drive feature development. As a senior engineer, you will be a core member of the team building a system with complex data and nature of predictions that rapidly evolve over time. You will need to pay close attention to detail, anticipate and welcome constant change, maintain a forward-thinking outlook, all while being fast and scrappy to address present needs.
As a Senior ML/NLP Software Engineer, your role will include:
This role could be a fit for you if you bring:
Bonus points for:
Who are we?
Using machine learning, Relyance AI builds a dynamic, real-time data inventory and map so you can monitor how personal data moves through your code, applications, infrastructure, and to third-party vendors. We exist because we believe innovation is fundamental to human progress. We build for people—our customers, our team, and the global community. Our core values brought us into existence, and they’re the motor that keeps us running.
Relyance AI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. As such, the base salary pay range for this role is $146,000 to $172,000.
Building the trust and governance infrastructure for the internet. Data protection and trust go beyond borders, beyond organizations, and beyond individual teams. Believing that the global data protection and privacy environments have been far more complex than they should be, Relyance is reimagining what data protection means in a globalized, technology-driven world. Relyance is shifting the entire landscape of data protection technology