As Relyance AI’s Senior Software Engineer, ML, 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 Software Engineer - ML, your role will include:
This role could be a fit for you if you bring:
Bonus points for:
Working at Relyance AI:
At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both.
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 $155,000 to $175,000.