Principal Software Engineer, ML

Summary

Join Relyance AI as a Principal Software Engineer, ML, and strategize, drive, and execute NLP initiatives for information extraction from legal documents and code. You will collaborate with stakeholders to design and build scalable AI features, working with LLMs like GPT-4 and LLaMA 2. You'll create novel model architectures, build data workflows, and perform error analysis. As a senior engineer, you'll be a core team member building a system with complex data and predictions. You will need strong attention to detail, adaptability, and a forward-thinking approach. The role requires 7+ years of experience in building ML and NLP solutions.

Requirements

• Have 7+ years of experience with a track record of being a key member of teams building ML and NLP solutions
• Possess expert level proficiency in languages like Python, Java, C#, C++, Scala, etc
• Have strong data structures, algorithms, and OO software design and implementation skills
• Be able to learn and operate across full stack, from ML and NLP systems, to cloud infrastructure, and AI backend
• Be a creative and strategic thinker with mindset to build powerful, robust, and flexible solutions
• Have a “get stuff done” attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment
• Have a track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems
• Possess skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers

Responsibilities

• 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
• Partner with cross-functional stakeholders to design and build flexible, powerful, and robust features that scale the impact of AI for our customers
• Work with Large Language Models like GPT-4 and LLaMA 2, as well as models of the scale of T5 or BERT
• Create novel model architectures and ML/NLP techniques
• Build data curation and model training workflows
• Perform error analysis to drive feature development
• Generate data-driven insights on how to evolve capabilities of Relyance AI
• 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
• 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
• Be a key member of the team solving its most complex problems with the simple, pragmatic solutions

Preferred Qualifications

• Have experience with Information Extraction, Semantic Parsing, practical application of LLMs
• Have experience with a privacy technology
• Have startup experience
• Have an advanced technical degree

Benefits

Base salary pay range for this role is $155,000 to $175,000