Senior Software Engineer- ML/NLP

Summary

Join Relyance AI as a Senior ML/NLP Software Engineer to strategize, drive, and execute NLP initiatives for information extraction from legal documents and code, and general ML in code analysis. You will collaborate with stakeholders to design and build scalable AI features for customers, working with LLMs like GPT-4 and LLaMA 2. Responsibilities include creating novel model architectures, building data curation and model training workflows, and performing error analysis. As a senior engineer, you will be a core team member building a system with complex data and predictions that rapidly evolve. You will need to pay close attention to detail, anticipate change, maintain a forward-thinking outlook, and be efficient in addressing needs. This role requires 7+ years of experience in building ML and NLP solutions or a PhD with industry experience.

Requirements

• 7+ years of experience with a track record of being a key member of teams building ML and NLP solutions; or a PhD in relevant field preferably with industry experience
• 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 operate across full stack, from ML and NLP systems, to cloud infrastructure, to AI backend
• Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible solutions
• 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
• A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems
• 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, and perform error analysis to drive feature development
• Be a core member of the team building a system with complex data and nature of predictions that rapidly evolve over time
• 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
• Using your experience and understanding of how ML and NLP features are built to achieve state of the art results in real products, 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
• Being a key member of the team solving its most complex problems with the simple, pragmatic solutions

Preferred Qualifications

• Experience with Information Extraction, Semantic Parsing, practical application of LLMs
• Experience with a privacy technology
• Startup experience
• An advanced technical degree