Description:

As Relyance AI’s ML/NLP Engineer, you will strategize, drive, and execute initiatives in NLP for information extraction from legal documents and code.
You will work on general ML in code analysis and overall AI backend initiatives.
Your role involves partnering with cross-functional stakeholders to design and build flexible, powerful, and robust features that scale the impact of AI for customers.
You will work with Large Language Models like GPT-4 and LLaMA 2, as well as models like T5 or BERT.
Your responsibilities include creating novel model architectures and ML/NLP techniques, building data curation and model training workflows, and performing 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 rapidly evolving predictions.
You will need to pay close attention to detail, anticipate and welcome constant change, and maintain a forward-thinking outlook while being fast and scrappy to address present needs.
Your role will include generating data-driven insights to evolve capabilities of Relyance AI, creating practical ML and NLP solutions, and collaborating with other engineering teams to implement features end to end.
You will architect systems to balance current needs with a forward-thinking outlook to incorporate state-of-the-art NLP and ML techniques and continuously look for opportunities to automate and build tools to lower operational barriers.

Requirements:

You should have 7+ years of experience with a track record of being a key member of teams building ML and NLP solutions, or a PhD in a relevant field preferably with industry experience.
You must possess expert-level proficiency in programming languages such as Python, Java, C#, C++, and Scala.
Strong data structures, algorithms, and object-oriented software design and implementation skills are required.
You should have the ability to learn and operate across the full stack, from ML and NLP systems to cloud infrastructure and AI backend.
A creative and strategic mindset to build powerful, robust, and flexible solutions is essential.
You should have a “get stuff done” attitude and enjoy being hands-on while working alongside the team in a fast-paced, collaborative environment.
A track record of successfully influencing product direction and motivating engineers to develop simple, pragmatic solutions to complex problems is necessary.
Skills in clear and concise communication, active listening, empathy, and a respectful, collaborative approach that earns the trust of peers are required.

The position offers the opportunity to work with cutting-edge technologies and large language models.
You will be part of a dynamic team that values collaboration and innovation.
The role allows for remote work flexibility.
You will have the chance to influence product direction and contribute to meaningful projects in the AI space.
Opportunities for professional growth and development in a fast-paced environment are available.
The company promotes a culture of continuous learning and encourages employees to explore new ideas and technologies.