Principal Software Engineer, ML

As Relyance AI’s Principal 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 Principal Software Engineer - ML, your role will include:

• Strategy: using your experience and understanding of how ML and NLP features are built to achieve state of the art results in real products, you will generate data-driven insights on how to evolve capabilities of Relyance AI.
• Execution: create practical ML and NLP solutions, making customer-centric prioritization decisions to balance between immediate impact and long-term bets; partner, align, and collaborate with other engineering teams to implement features end to end, in particular throughout data engineering systems such as Airflow, VertexAI, BigQuery, etc.; or the Relyance backend.
• Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to incorporate state of the art NLP and ML techniques; continuously look for opportunities to automate and build tools to lower operational barriers.
• Being a key member of the team solving its most complex problems with the simple, pragmatic solutions. 

This role could be a fit for you if you bring:

• 7+ years of experience with a track record of being a key member of teams building ML and NLP solutions.
• Expert level proficiency in languages like Python, Java, C#, C++, Scala, etc.
• Strong data structures, algorithms, and OO software design and implementation skills.
• Ability to learn and …